multidimensional mechanism design for auctions with externalities abstract in an auction with externalities a buyer s type is multidimensional and specifies the payoff he would get for each of the n 1 possible outcomes the seller keeps the object or buyer i i 1 n gets the object we provide a characterization of multidimensional incentive compatible mechanisms similar to that for one dimensional mechanisms although reservation utilities are endogenous and type dependent the participation constraint is binding for only one critical type a main difficulty in a multidimensional setting is the integrability condition we present a geometric characterization for discontinuous conservative vector fields in auctions where the buyers submit scalar bids and the seller transfers the object to one of the buyers for sure a second price auction maximizes revenue with two buyers this auction remains optimal even if the seller can set a reservation price journal of economic literature classification numbers c7 c72

optimal allocation of primary reserve services in energy markets this paper presents an optimization algorithm which provides generation economic dispatch minimizing simultaneously the cost of primary reserve services while ensuring the secure operation of the power system in the presence of disturbances the algorithm takes into consideration security constraints which are extracted from the chain rules provided by decision trees the proposed method is easy to implement in day ahead and real time balancing markets and is characterized from accuracy versatility and flexibility examples demonstrating application of the method on an actual power system model are presented and discussed

multi dimensional screening a user s guide abstract multi dimensional screening models have many potential applications but economists have so far been hindered by the considerable technical difficulties involved in their resolution this paper studies the simplest formulation of the general screening model and we provide a complete solution to this case we then show how this model can be applied to multi product nonlinear pricing and to multi product monopoly regulation finally we discuss how the model has been applied to other economic situations of interest including auction design and optimal taxation

efficient use of generator resources in emerging electricity markets in the emerging electricity market generators sell ancillary services as well as energy to the system operator pricing of ancillary services makes the scheduling of units more difficult due to the resulting unit cost curves the new climate will encourage generators to exploit the flexibility of their units in terms of operating modes this paper uses the augmented hopfield neural network to deal with ancillary service prices specifically reserve and ramping prices submitted by generators and to schedule units with a choice of operating modes

collusion under asymmetric information when applied to groups the revelation principle postulates a bayesian nash behavior between agents their binding agreements are unenforceable or the principal can prevent them at no cost we analyze instead a mechanism design problem in which the agents can communicate between themselves and collude under asymmetric information we characterize the set of implementable collusion proof contracts both when the principal offers anonymous and nonanonymous contracts after having isolated the nexi and the stakes of collusion we proceed to a normative analysis perform some comparative statics discuss our concept of collusion proofness and provide some insights about transaction costs in side contracting

cost benefit reflective distribution charging methodology this paper describes the principle and implementation of a new mw mvar miles charging methodology which was developed to reflect three key cost drivers in distribution network development the distance used to support nodal real and reactive power injection withdrawal the degree of support offered by the network assets and the operating condition of the supporting assets in terms of their power factors the inclusion of the latter driver allows the developed charging methodology to reward network users who are contributing to better power factors and better network utilization while penalizing customers who worsen power factors and network utilization as a consequence the charging model is able to provide forward looking incentives for network customers to behave in a manner to better the network condition which will in turn help to reduce the cost of future network development in addition the separation of real and reactive power pricing would give network users clear indications of the cost of their reactive power draw from the network which in turn could help them to evaluate the economics in investing in reactive power compensation devices the proposed charging methodology is demonstrated on a practical eight busbar distribution system with a mixed demand and embedded generation eg this paper results from work undertaken in a project on distribution charging methodologies for western power distribution the views in this paper expressed are not those of western power distribution

the principal agent relationship with an informed principal the case of private values we analyze the principal agent relationship when the principal has private information as a three stage noncooperative game contract proposal acceptance refusal and contract execution we assume that the information does not directly affect the agent s payoff private values equilibrium exists and is generically locally unique moreover it is pareto optimal for the different types of principal the principal generically does strictly better than when the agent knows her information equilibrium allocations are the walrasian equilibria of an economy where the traders are different types of principal and exchange the slack on the agent s individual rationality and incentive compatibility constraints

uncertainty management in the unit commitment problem uncertainty in power systems operations has been traditionally managed by multistage decision making and operating reserve requirements a familiar example of multistage decisions is day ahead unit commitment and real time economic dispatch an alternate approach for managing uncertainty is a stochastic formulation which allows the explicit modeling of the sources of uncertainty this paper compares stochastic and reserve methods and evaluates the benefits of a combined approach for the efficient management of uncertainty in the unit commitment problem numerical studies show that unit commitment solutions obtained for the combined approach are robust and superior with respect to the traditional approach in terms of both economics and reliability metrics

multidimensional incentive compatibility and mechanism design abstract incentive compatibility conditions are characterized in general for problems in which several goods are to be allocated and agents types are multidimensional two questions of monopoly pricing under multidimensional uncertainty are then analyzed first we find the optimal nonlinear pricing scheme when the monopolist knows only the distribution of an arbitrarily parameterized family of demand curves and second we solve for the optimal bundling policy for a multiproduct monopolist

calculating short run marginal costs of active and reactive power production proper pricing of active and reactive power is an important issue for economic and secure operations of power systems in an open transmission access ota environment this paper presents a flexible formulation for this purpose the proposed formulation identifies an important price component for reactive power which is fundamentally different from those existing in the literature this makes the pricing of reactive power more understandable the proposed approach is efficient for real time application and allows for carrying out active and reactive power pricing simultaneously or independently through the use of the decoupled optimal power flow formulation price signals derived from this approach are quite meaningful from an engineering point of view in addition the proposed approach can be easily extended to evaluate nugs and wheeling transactions the paper includes test results on the 30 and 118 bus ieee standard systems

an ordinal optimization based bidding strategy for electric power suppliers in the daily energy market the deregulation and reconstruction of the electric power industry worldwide raises many challenging issues related to the economic and reliable operation of electric power systems traditional unit commitment or hydrothermal scheduling problems have been integrated with generation resource bidding but the development of optimization based bidding strategies is only at a very preliminary stage this paper presents a bidding strategy based on the theory of ordinal optimization that the ordinal comparisons of performance measures are robust with respect to noise and modeling error and the problems become much easier if the optimization goal is softened from asking for the best to good enough solution the basic idea is to use an approximate model that describes the influence of bidding strategies on the market clearing prices mcp a nominal bid curve is obtained by solving optimal power generation for a given set of mcps via lagrangian relaxation then n bids are generated by perturbing the nominal bid curve the ordinal optimization method is applied to isolate a good enough set s that contains some good bids with high probability by performing rough evaluation the best bid is then selected by solving full hydrothermal scheduling or unit commitment problems for each of the bids in s using ordinal optimization approach we are able to obtain a good enough bidding strategy with reasonable computational effort numerical results using historical mcps from the california market and a generation company with 10 units show that the ordinal optimization based method is efficient

wheeling rates of reactive power flow under marginal cost pricing wheeling is the transmission of electrical power and reactive power from a seller to a buyer through a transmission network owned by a third party the wheeling rate is an area of intense research in view of increased deregulation this paper uses a wheeling rate based on marginal cost pricing and implemented using a modification of the optimal power flow opf a case study based on the ieee 30 bus system illustrates the magnitudes and ranges that wheeling rates might have in different circumstances special attention is paid to reactive wheeling which cannot be analyzed with a dc model used by previous authors the ratio of wheeling rates between real and reactive flow shows the importance of the latter the paper also discusses the significance of this for the trade off between paying for reactive wheel or investing in compensating plant

optimal lmp decomposition for the acopf calculation the objective of this work is to design a suitable rule for the energy reference selection in the ac optimal power flow acopf based locational marginal price lmp calculation in the case of the acopf model the congestion component of the lmp vector exhibits strong dependence on the energy reference this in turn makes the hourly values of financial transmission rights ftrs to be reference dependent and thus is a source of dispute in order to resolve this dispute a direct optimization framework is developed in this work exploring the interrelationship between the congestion components of locational marginal prices at individual buses the objective function and the constraints of this optimization model are carefully designed looking at the true motive of the lmp decomposition at the same time necessary attention is paid so as to ensure revenue adequacy in the ftr settlement the optimization problem that is ultimately to be solved is a simple quadratic programming problem with only one variable and two constraints the effectiveness of the proposed methodology is verified through a case study on a modified ieee 30 bus system the framework developed also unveils several interesting features of the lmp components that were under cover until now

energy and reserve pricing in security and network constrained electricity markets this paper analyzes some unresolved pricing issues in security constrained electricity markets subject to transmission flow limits although the notion of separate reserve types as proposed by ferc can be precisely and unambiguously defined when transmission constraints are active the very existence of separate reserve prices and markets is open to question when the prices are based on marginal costs instead we submit here that the only products whose marginal costs can be separately and uniquely defined and calculated are those of energy and security at each node thus under marginal pricing at any given network bus all scheduled reserve types should be priced not at separate rates but at a common rate equal to the marginal cost of security at that bus furthermore we argue that nodal or area reserves cannot be prespecified but must be obtained as by products of the market clearing process simulations back up these conclusions

the organization and scope of agents regulating multiproduct industries abstract a mechanism design problem with two dimensional uncertainty is solved to derive the optimal policy for regulating a monopolist with private information about the marginal cost of producing two different goods the paper establishes that informational economies of scope or incentive complementarities arise when one firm produces both goods the regulator should weigh these economies against the benefits of relative performance incentives when choosing between integrated and decentralized organizations unless the marginal costs of the two products are sufficiently positively correlated the optimal ex ante policy gives control of both markets to a single firm journal of economic literature classification number s d82 l22 l51

market implications and pricing of dynamic reserve policies for systems with renewables static reserve policies are used within security constrained unit commitment scuc and security constrained economic dispatch sced to ensure reliability a common policy is that 10 min reserve must exceed the largest contingency however this condition does not guarantee reliability because voltage and thermal limits can hinder reserve deliverability many operators use zonal reserve markets to ensure reserves are dispersed across the grid such zonal models attempt to anticipate transmission bottlenecks which is a difficult task when the future system state is uncertain this paper examines the market implications of dynamic reserve policies used to mitigate uncertainty from renewable resources and contingencies we study the market implications of policies recently proposed in the literature such as hourly zones within day ahead scuc and an algorithm that formally disqualifies reserves that are expected to be undeliverable a locational reserve pricing scheme is also proposed in connection with scenario based reserve disqualification analysis on the rts 96 test case shows that dynamic zones and reserve disqualification along with the proposed compensation scheme help direct reserve payments toward resources that more effectively respond to contingencies

optimal dispatch of a system based on offers and bids a mixed integer lp formulation the federal energy regulatory commission s ferc orders 888 and 889 will have far reaching consequences on the operation and dispatch of electric power systems a common element of the change is that of dispatching the system based on offers and bids to sell and buy unbundled commodities this paper formulates and solves the optimal dispatch problem as a mixed integer linear program such a formulation allows the acceptance of offers with minimum takes arising from generator characteristics

a reactive power capacity market using annual auctions this paper presents a new approach to design reactive power capacity markets under this approach annual auctions to procure reactive power capacity are conducted by the system operator two products are defined reactive power generation and absorption capacity which can be supplied by different independent var sources such as generators svcs capacitor banks and shunt reactors reactive power capacity is allocated using an optimization algorithm that matches capacity bids and system reactive power needs for peak and low demand hours the reactive power requirements are calculated taking into account system contingencies and the dynamic performance of the var sources under these situations another key proposal of the paper is the distribution of costs of the reactive power capacity market to the agents responsible for contingencies according to the use of the service by each market participant this remuneration approach provides fair and efficient economic signals to all market participants the applicability of the approach is illustrated with two case studies

incorporating post zonal reserve deployment transmission constraints into energy and ancillary service co optimization this paper presents a new approach implemented in miso day ahead and real time energy and ancillary service market clearing processes to address the reserve deliverability issue in this approach miso enhanced the co optimization process to incorporate post zonal reserve deployment transmission constraints reserves are procured within the co optimization to meet both market wide reserve requirements and ensure their deliverability on a zonal basis as a result zonal market clearing prices mcps for reserves can properly reflect the effects of zonal reserve deployment on transmission constraints under consideration

transmission analysis by nash game method this paper describes an open access transmission method for maximizing profits in a power system the proposed method is based on the nash bargaining game for power flow analysis in which each transaction and its optimal price are determined to optimize the interests of individual parties transmission losses are considered by the proposed method and test cases and results are discussed to present the merits of the proposed method

informative externalities and pricing in regulated multiproduct industries this paper addresses the issue of how to organise a two product industry with interdependent demands when the regulator cannot observe the demand level of the goods produced two industry structures are compared a multiproduct monopoly in which an informed firm produces both goods and a differentiated duopoly where two firms control one good each but the level of demand is known by one firm only focusing on the informative costs of regulation the paper shows that if goods are substitutes the regulator may achieve a better performance through integration of production with complements instead decentralisation tends to be preferred

pricing for system security power tariffs security in power systems refers to the ability of the system to withstand imminent disturbances contingencies maintaining security is an issue which must be addressed at the system level it is shown in this paper however that it is possible to maintain power system security in an operating environment with many participants power companies independent power producers co generators consumers each attempting to optimize their own benefit through pricing incentives and appropriate information exchange rates for power generation consumption and for an offer to use during a contingency as well as information on the probability distribution of contingency need for each participant are derived so that individual optimization will lead to the socially optimal solution in which power system security is optimized and the aggregate benefit is maximized

distributed stochastic market clearing with high penetration wind power integrating renewable energy into the modern power grid requires risk cognizant dispatch of resources to account for the stochastic availability of renewables toward this goal day ahead stochastic market clearing with high penetration wind energy is pursued in this paper based on the dc optimal power flow opf the objective is to minimize the social cost which consists of conventional generation costs end user disutility as well as a risk measure of the system re dispatching cost capitalizing on the conditional value at risk cvar the novel model is able to mitigate the potentially high risk of the recourse actions to compensate wind forecast errors the resulting convex optimization task is tackled via a distribution free sample average based approximation to bypass the prohibitively complex high dimensional integration furthermore to cope with possibly large scale dispatchable loads a fast distributed solver is developed with guaranteed convergence using the alternating direction method of multipliers admm numerical results tested on a modified benchmark system are reported to corroborate the merits of the novel framework and proposed approaches

optimal response of a power generator to energy agc and reserve pool based markets the electric power industry all over the world is undertaking major regulatory and operational changes the understanding of power supply as a public service is being replaced by the notion that competitive markets constitute a more appropriate framework to supply reliable and cheap electric energy to consumers as mandated by ferc orders 888 and 889 this paper considers simultaneously energy agc and reserve markets in a pool framework it provides a tool to enable a power generator to determine optimally its degree of involvement in each one of these markets a real world case study is analyzed and results are presented

evolution toward standardized market design the evolution toward the standardized market design smd is presented in this paper with references to the market developments in new zealand australia pjm iso ne and ercot in the development of market designs two main objectives market liquidity facilitating bilateral trading and pricing efficiency facilitating congestion management have been pursued the efforts to balance the seemingly conflicting objectives led to most markets designed with a uniform or zonal pricing model introduction of locational marginal pricing and evolution of transmission rights from physical to financial form made it possible to harmonize the potentially conflicting goals in a market design the close coupling between energy and ancillary services requires that markets for these commodities be carefully coordinated different operational practices and reliability standard requirements have led to major differences in ancillary service market designs

information revelation in the property right theory of the firms abstract i incorporate revelation of asymmetric information through shared ownership partnership into the property right theory of the firms shared ownership is optimal as a joint result of mitigating hold up and inducing truthful information revelation due to the incomplete contracting nature shared ownership is incentive compatible if it induces truthful information revelation within the relationship as well as when the relationship breaks off the equilibrium path incentive compatibility results in the optimality of partnership even for the most efficient type of the informed party inefficient investment thus arises the level of shared ownership depends on the relative magnitude of the information rent effect and the hold up effect shared ownership is robust to semi truthful information revelation under which hold up occurs in equilibrium with an endogenously determined probability related to the revelation strategy

a single settlement energy only electric power market for unpredictable and intermittent participants we discuss a stochastic programming based method for scheduling electric power generation subject to uncertainty such uncertainty may arise from either imperfect forecasting or moment to moment fluctuations and on either the supply or the demand side the method gives a system of locational marginal prices that reflect the uncertainty and these may be used in a market settlement scheme in which payment is for energy only we show that this scheme is revenue adequate in expectation

electricity retail contracting under risk aversion abstract risk has always been a dominant part of financial decision making in any industry recently models tools and computational techniques have been developed so that we can effectively incorporate risk in optimal decision policies the focus of this paper is on electricity markets where much of the inherent risk falls on the retail sector we introduce a three stage model of an electricity market where firms can choose to enter the retail market then enter into retail contracts and finally purchase electricity in a wholesale market to satisfy their contracts we explicitly assume that firms are risk averse in this model we demonstrate how the behaviour of firms change with risk aversion and use the example of an asset swap policy over a transmission network to demonstrate the importance of modeling risk aversion in determining policy outcomes

perspiration versus inspiration in asian industrialisation indonesia before the crisis this article examines trends in and determinants of total factor productivity tfp in 28 manufacturing industries in indonesia over the period 1975 93 the reforms of the mid 1980s appeared to have resulted in a significant acceleration of tfp growth among the inter industry determinants of tfp growth trade policy and orientation domestic competitive pressures and ownership factors are singled out for scrutiny the trade regime and one measure of domestic competition emerge as consistently important explanatory factors

inversion of real time spot prices in the direction of real power flow in a transmission line an increasing number of electricity markets employing some form of spot pricing however limited experience of the behavior of spot prices exists this paper introduces and investigates one particular aspect of pricing behavior observed in the new zealand spot market known as price inversion spot prices are generally calculated using some form of opf or power flow software the phenomena of price inversion is investigated using the dc power flow implemented in the new zealand spot market and using a full ac power flow price inversion is shown to be dependent on the physical characteristics of the power system the economic implications of price inversion are also discussed

optimization based bidding strategies in the deregulated market with the deregulation of electric power systems market participants are facing an important task of bidding energy to an independent system operator iso this paper presents a model and a method for optimization based bidding and self scheduling where a utility bids part of its energy and self schedules the rest as in new england the model considers iso bid selections and uncertain bidding information of other market participants with appropriately simplified bidding and iso models closed form iso solutions are first obtained these solutions are then plugged into the utility s bidding and self scheduling model which is solved by using lagrangian relaxation testing results show that the method effectively solves the problem with reasonable amount of cpu time

wheeling of power under deregulated environment of power system a bibilographical survey the power industry is moving rapidly from regulated conventional setup to a deregulated environment there is an urgent need to keep a track of international experiences and activities taking place in this emerging field this paper gives a bibliographical survey and general backgrounds of research and development in the field of power system wheeling under deregulated environment based on over 170 published articles wheeling in general and the establishment of wheeling rate in particular are subjects of extensive debate today this will be very much useful for all countries especially those developing countries which are moving toward the unbundling of electricity supply industry esi the collected literature have been divided into many section so that new researchers do not face any difficulty for obtaining literature particularly in the area of wheeling of power under deregulated environment

offer stack optimization in electricity pool markets we consider a generator making offers of energy into an electricity pool market for a given time period it must submit an offer stack consisting of a fixed number of quantities of energy and prices at which it wants these quantities dispatched we assume that the generator cannot offer enough power to substantially affect the market price so the optimal response would be to offer energy at marginal cost however the market rules do not permit an arbitrary function so the problem is to find an offer stack approximating marginal cost in a way that maximizes its profit we give optimality conditions for this problem and derive an optimization procedure based on dynamic programming this procedure is illustrated by applying it to several examples with different costs of production

evaluation of wheeling and nonutility generation nug options using optimal power flows the application of optimal power flow for the evaluation of wheeling and nonutility generation nug related options is presented both wheeling and nug options affect vital attributes such as system security voltage profile losses and var reserves these options put a strain on the existing transmission system and may restrict economic utility dispatching optimal power flows may be used to determine the best control settings to accommodate wheeling or nug options so as to maintain system security while minimizing losses or production cost short term marginal wheeling costs may be derived using optimal power flows case studies involving the northeast utilities and ieee test systems are presented these cases show that optimal power flows can be used effectively to address a broad range of wheeling or nug related planning issues

risk assessment in energy trading this paper provides a state of the art summary of risk assessment in energy trading techniques from financial engineering are needed by electric energy companies to manage price risk these tools are needed by suppliers distributors and traders in a competitive electric power marketplace tools that have been adapted to the specific environment of the electric power system include portfolio analysis and hedging instruments this paper provides a comprehensive critical literature survey of what has been applied to date in the power markets and which areas continue to need additional research one example market scenario is used throughout the paper to demonstrate the usefulness of the risk assessment methods

economic valuation of reserves in power systems with high penetration of wind power this paper proposes a methodology to determine the required level of spinning and nonspinning reserves in a power system with a high penetration of wind power the computation of the required reserve levels and their costs is achieved through a stochastic programming market clearing model spanning a daily time horizon this model considers the network constraints and takes into account the cost of both the load shedding and the wind spillage the methodology proposed is illustrated using an example and a realistic case study some conclusions are finally drawn

the organization of supplier networks effects of delegation and intermediation in a one principal two agent model with adverse selection and collusion among agents we show that delegating to one agent the right to subcontract with the other agent always earns lower profit for the principal compared with centralized contracting delegation to an intermediary is also not in the principal s interest if the agents supply substitutes it can be beneficial if the agents produce complements and the intermediary is well informed

security constrained unit commitment for simultaneous clearing of energy and ancillary services markets this paper introduces a security constrained unit commitment scuc model with emphases on the simultaneous optimization of energy and ancillary services markets benders decomposition is used to decouple the scuc into a unit commitment uc master problem and hourly network security checking subproblems lagrangian relaxation is used to decouple the uc problem into individual single unit commitment problems dynamic programming is used to find the optimal commitment decision a simultaneous marginal curve algorithm is proposed to find the optimal values of energy and ancillary services a six bus system with three units and the ieee 118 bus system with 54 units are analyzed to illustrate the proposed model

spot pricing of capacities for generation and transmission of reserve in an extended poolco model the poolco model is emerging as one of the most acceptable options for organizing the spot market of electricity although the model represents a reasonable and safe transition from present industry practices to what is required in a competitive electricity market many important issues remain to be resolved in particular issues regarding reliability related services are of a special concern to the industry this paper is devoted to the issue of reserve service delivery and pricing the poolco model is extended in this paper to include spot pricing of reserve generation and transmission capacities as well as demand side bidding in the authors extended model suppliers submit bids for power as well as for reserve capacities a new formulation of the extended security constrained economic dispatch which allocates both power and reserve generation resources is presented in this paper the dispatch of the resources is constrained by limitations of system transmission capacities the proposed formulation is considered to be relevant not only in the poolco but in a more general setup an illustrative example is used to introduce concepts and present results finally some general issues regarding formats of proposals balance of payments and uniqueness of the prices that apply equally to both the original and extended poolco models are discussed

a note on the optimal structure of production abstract we analyze the advantages of centralization and decentralization in industries in which production takes place in several stages and the costs are privately observed by the agents in charge of production we demonstrate that informational diseconomies arise when uncorrelated information is concentrated in the hands of a single agent these diseconomies arise when the stages of production are different activities with different cost supports journal of economic literature classification numbers d82 l22 l51

demand side reserve offers in joint energy reserve electricity markets we propose a market model that includes demand side reserve offers and where energy and reserve are jointly dispatched generators and consumers can submit offers and bids on five distinct products energy upspinning reserve downspinning reserve and two kinds of standby reserve the resources are scheduled and dispatched in a joint auction through a mixed integer optimization program the extra scheduling flexibility introduced by demand side reserve offers can lead to significant gains in economic efficiency thus the results suggest that not only do the consumers increase their profits but in addition the market power of the generators is reduced

opf for reactive pricing studies on the ngc system retail transmission services like those being provided by the national grid company ngc in england and wales pose new challenges for the pricing of reactive power supply a reactive power market approach has been proposed by ngc and continues to be evaluated such an approach includes a novel requirement for transmission constrained economic dispatch of var a problem in the security constrained optimal power flow opf class the problem formulations handled by the opf package in use could not accommodate ngc s requirements this paper describes the reactive pricing problem being addressed the modeling requirements and the resulting extensions made to the opf formulation and package it discusses the test results obtained to date on the ngc system

determination of network rental components in a competitive electricity market the locational marginal pricing lmp based settlement results in a surplus collected by the system operator from the consumers the nonlinear transmission losses and the constrained operation of the power system due to operating limits such as power flow limits on transmission lines cause the accumulation of this surplus this accumulated revenue referred to as the network rental in this paper has two main components loss rental and constraint rental this paper develops a method to calculate these different rental components paid by each consumer by combining the power flow tracing and kkt optimality conditions this yields quantitative determination of how each consumer has overpaid in the form of loss rental and constraint rental which in turn can be used to get a better insight of how the rental is accumulated simple three and four bus systems are used to demonstrate the proposed method

marginal loss modeling in lmp calculation this paper discusses the pricing of marginal transmission network losses in the locational marginal pricing approach recently deployed in the iso new england iso ne standard market design smd project implemented by alstom s t d energy automation and information eai business the traditional loss model is studied and a new model is proposed the new model achieves more defendable and predictable market clearing results by introducing loss distribution factors to explicitly balance the consumed losses in the lossless dc power system model the distributed market slack reference is also introduced and discussed the lmp components produced by the two models are studied and compared under changes in slack reference numerical examples are presented to further compare the two models

matching users rights to available groundwater abstract the amount of available groundwater in a catchment changes quickly and the amount of water that users can take sustainably depends on where and when it is taken however rights to water tend to be fixed and obtaining rights to water incurs high transaction costs as a result water catchments are over allocated worldwide in this paper i show how a catchment manager could match users rights to the available water in near real time despite uncertain future inflows while making effective use of all available hydrological data the solution uses the framework of a smart market a smart market is a periodic auction cleared with the help of an optimization model in addition to market clearing this model allows a convenient means to adjust initial rights and the auction revenue reflects the available water relative to users rights when the auction is revenue neutral the catchment may be viewed as allocated perfectly i suggest several ways in which a catchment manager can find this revenue neutral allocation assuming the manager has authority to adjust initial rights

monopoly provision of product quality and warranties an exploration in the theory of multi dimensional screening we address the monopoly problem of designing and pricing a product line of goods distinguished by different quality and warranty levels consumers vary in their evaluations of these attributes so that the problem is one of screening it is sufficiently complex that the local approach commonly used does not work instead we use new techniques for dealing with incentive constraints between nonadjacent consumer types these techniques allow us to characterize optimal allocations that may not be monotonic in particular although the more eager types of buyer do pay higher prices and yield the monopoly higher profit they may receive lower quality or lower warranty coverage we find preference restrictions that restore monotonicity concave risk tolerance implies that warranty coverage increases in type and constant absolute risk aversion implies that quality increases in type

regulatory risk vertical integration and upstream investment abstract we investigate the impact of regulatory risk on vertical integration and upstream investment by a regulated firm that provides an essential input to downstream competitors regulatory risk reflects uncertainty about the regulator s commitment to a regulatory policy that promotes the regulated firm s noncontractible investment we show that when the regulator sets the regulatory policy after the vertical industry structure has been established some degree of regulatory risk is ex ante socially beneficial regulatory risk makes vertical integration profitable and stimulates high upstream investment at a lower social cost this occurs for moderate costs of high investment and firms small risk aversion our analysis sheds new light on some relevant empirical patterns in vertically related markets

optimal electricity supply bidding by markov decision process the bidding decision making problem is studied from a supplier s viewpoint in a spot market environment the decision making problem is formulated as a markov decision process a discrete stochastic optimization method all other suppliers are modeled by their bidding parameters with corresponding probabilities a systematic method is developed to calculate transition probabilities and rewards a simplified market clearing system is also included in the implementation a risk neutral decision maker is assumed the optimal strategy is calculated to maximize the expected reward over a planning horizon simulation cases are used to illustrate the proposed method

optimal scheduling of spinning reserve effective control of spinning reserve can provide substantial cost reductions in large power systems this paper suggests that this goal can he achieved by tightly integrating a probabilistic reserve assessment with the unit commitment uc function this enables the reliability of individual units and the uncertainty of the load forecast to be considered for short term scheduling the generation can then be scheduled to meet a given risk index it is further argued that the optimal value of this risk index should be selected on the basis of a tradeoff between the total schedule cost obtained from the uc solution and the expected cost of energy not served which can be derived from the probabilistic reserve assessment finally the problem of over commitment of reserve in lagrangian relaxation based uc is reduced by means of a new unit decommitment technique incorporating a look ahead feature

engendering social capital women workers and rural urban networks in indonesia s crisis recent approaches to social capital have cautioned against the view that social networks are resources to be called upon in times of crisis we contribute a feminist perspective to this argument and call attention to the gendered power relations of social capital and social networks we draw on field studies that examine women migrants rural urban networks in two regions of indonesia during the 1997 99 economic crisis period our findings direct attention toward the gender specific limitations of social capital as a resource for development and identify some ways in which the costs and benefits of social capital are organized by gender

the organization of regulated production complementarities correlation and collusion we analyze the choice between vertical separation vs and vertical integration vi when two regulated firms produce complementary inputs with correlated costs and are protected by ex post break even constraints first in the absence of collusion the regulator prefers vi vs for negative and weak positive respectively strong positive correlation second if the firms can collude under vs and know all costs then vs is equivalent to vi however if firms collude under asymmetric information then collusion does not affect the choice between vs and vi since the regulator takes advantage of the transaction costs created by asymmetric information

pricing energy and reserves using stochastic optimization in an alternative electricity market this paper presents a stochastic linear programming model that can be used for pricing in electrical energy and reserve markets it addresses capacity energy and reserve dispatch problems that may arise from n 1 contingency scenarios possible market solutions focusing on generator compensation using real time day ahead and hybrid schemes are enumerated along with opportunities for consumer pricing and transmission costing this model is illustrated on a 6 bus test system as well as a larger 66 bus system representing the ontario network a key difference among schemes is the degree of risk to the generators measured by variance in profit

a scenario simulation approach for market power analysis in hydrothermal systems this paper focuses on markets based on physical bilateral contracts combined with a power exchange px the main feature to be analyzed is the behavior of the hydrothermal system where one or more companies have a big reservoir with capacity for inter annual regulation in this work inter annual regulation means the ability of a reservoir to allocate water from consecutive years the use of the reservoirs in a context of a power exchange market with competition is the main objective of this study results on the chilean central interconnected system using stochastic dynamic programming are presented and discussed

multiproduct nonlinear pricing typically work on mechanism design has assumed that all private information can be captured in a single scalar variable this paper explores one way in which this assumption can be relaxed in the context of the multiproduct nonlinear pricing problem it is shown that the firm will choose to exclude some low value consumers from all markets a class of cases that allow explicit solution is derived by making use of a multivariate form of integration by parts in such cases the optimal tariff is cost based

the costs of wheeling and optimal wheeling rates wheeling is the transmission of electrical energy from a buyer to a seller through a transmission network owned by a third party this paper provides a theoretically sound yet practical to implement basis for setting wheeling rates these wheeling rates are based on marginal costs determined by losses and effects of line flow and voltage magnitude constraints adjusted up or down as necessary to account for embedded capital costs i e revenue reconciliation simple numerical examples are provided to illustrate interesting phenomena such as negative wheeling rates which yield positive net revenue comparisons with present day wheeling rates show that major differences exist the wheeling rates of this paper yield a no lose situation for the buying selling and wheeling utilities

reliability and reserve in competitive electricity market scheduling power systems are typically scheduled at least cost subject to operational and security constraints generally no account is taken of generator reliability when scheduling units also the security criteria which include reserve are usually deterministic in nature this paper proposes a method to consider generator reliability explicitly in the scheduling problem a competitive structure is proposed which includes a market for reserve this is formulated as an augmented lagrangian dual function and is solved using a new recurrent neural network the price for reserve is used along with the unit reliability to find a balance between the cost of reserve and the risk of not providing it

regulating complementary products a comparative institutional analysis optimal regulation subject to informational constraints is analyzed for industries for which production requires complementary inputs an issue for regulatory policy is whether supply in these industries should be bundled or unbundled bundled supply calls for regulation of an integrated industry unbundled supply has each component regulated separately a main result is that unbundling introduces into regulation an additional component of information cost that is similar to double marginalization in the monopoly pricing of complementary products unbundling may be advantageous if it allows sufficient competition in nonmonopoly services but the information cost can exceed the benefits of competition

stochastic multiobjective market clearing of joint energy and reserves auctions ensuring power system security in this paper a stochastic multiobjective framework is proposed for day ahead joint market clearing the proposed multiobjective framework can concurrently optimize competing objective functions including augmented generation offer cost and security indices overload index voltage drop index and voltage stability margin besides system uncertainties including generating units and branches contingencies and load uncertainty are explicitly considered in the stochastic market clearing scheme the solution methodology consists of two stages which firstly employs roulette wheel mechanism and monte carlo simulation mcs for random adaptive 24 h scenario generation wherein the stochastic multiobjective market clearing procedure is converted into its respective deterministic equivalents scenarios in the second stage for each deterministic scenario a multiobjective mathematical programming mmp formulation based on the epsiv constrained approach is implemented for provision of spinning reserve sr and nonspinning reserve nsr as well as energy the mmp formulation of the market clearing process is optimized while meeting ac power flow constraints and expected interruption cost eic the ieee 24 bus reliability test system rts 24 bus is used to demonstrate the performance of the proposed method

regulating a monopolist with unknown costs we consider the problem of how to regulate a monopolistic firm whose costs are unknown to the regulator the regulator s objective is to maximize a linear social welfare function of the consumers surplus and the firm s profit in the optimal regulatory policy prices and subsidies are designed as functions of the firm s cost report so that expected social welfare is maximized subject to the constraints that the firm has nonnegative profit and has no incentive to misrepresent its costs we explicitly derive the optimal policy and analyze its properties in their classic papers dupuit 2 and hotelling 5 considered pricing policies for a bridge that had a fixed cost of construction and zero marginal cost they demonstrated that the pricing policy that maximizes consumer well being is to set price equal to marginal cost and to provide a subsidy to the supplier equal to the fixed cost so that a firm would be willing to provide the bridge this first best solution is based on a number of informational assumptions first the demand function is assumed to be known to both the regulator and to the firm while the assumption of complete information may be too strong the assumption that information about demand is as available to the regulator as it is to the firm does not seem unnatural a second informational assumption is that the regulator has complete information about the cost of the firm or at least has the same information about cost as does the firm this assumption is unlikely to be met in reality since the firm would be expected to have better information about costs than would the regulator as weitzman has stated an essential feature of the regulatory environment i am trying to describe is uncertainty about the exact specification of each firm s cost function in most cases even the managers and engineers most closely associated with production will be unable to precisely specify beforehand the cheapest way to generate various hypothetical output levels because they are yet removed from the production process the regulators are likely to be vaguer still about a firm s cost function 12 p 684 as this observation suggests it is natural to expect that a firm would have better information regarding its costs than would a regulator the purpose of this paper is to develop an optimal regulatory policy for the case in which the regulator does not know the costs of the firm one strategy that a regulator could use in the absence of full information about costs is to give the firm the title to the total social surplus and to delegate the pricing decision to the firm in pursuing its own interests which would then be to maximize the total social surplus the firm would adopt the same marginal cost pricing strategy that the regulator would have imposed if the regulator had

strategic bidding in an energy brokerage this focus of this paper is to present a framework in which strategies may developed for the individual participants in an energy brokerage such a framework is expected to be important with the increasing interest in electricity market structures such as the energy brokerage that deregulation has produced to illustrate the process of strategic bidding a simple suboptimal bidding strategy is presented with the aid of a numerical example the bidding strategy must be suboptimal because of the amount of unknown information about the other bidders further tuning of this strategy will be required before application to realistic scenarios

a review of renewable investment and power system operational issues in bangladesh generation investments especially large scale variable renewable energy requires careful scrutiny of the state of the power system power system planning and operations in a developing country like bangladesh can often achieve significant improvements in economics and security of supply through modest and prudent investments a review of the bangladesh power sector is presented in this paper that highlights a changes to dispatch protocols to undertake fuel constrained dispatch optimization and ancillary services co optimization and pricing b issues related to the allocation of natural gas between sectors and c a technology neutral investment framework the study uses an hourly dispatch and ancillary services co optimization model that also optimizes short to medium term investment decisions the results demonstrate bangladesh can a reduce its production costs by 63 through more efficient dispatch b reduce production costs by 77 by using an additional natural gas quota of 212 mmcfd or a 23 increase and c should have invested in power import and baseload gas coal rather than expensive solar pv projects proposed in 2011 at substantially higher cost at the time when a carbon price is imposed in the model the implied break even cost to justify the solar program is very high in excess of 150 tonne

risk allocation and the costs and benefits of public private partnerships we study the agency costs of delegated public service provision focusing on the link between organizational forms and uncertainty at project implementation we consider a dynamic multitask moral hazard environment where the mapping between efiort and performance is ex ante uncertain but new information may come along during operations our analysis points out at the e ciency gains that bundling planning and implementation as under public private partnerships can bring in terms of better project design and lower operational costs bundling also results in increasingly better performance as uncertainty is reduced by growing experience in the sector bundling should instead be viewed with caution when the private sector seeks to radically innovate on public service provision or to introduce new services but lacks the knowledge and expertise to anticipate the impact of the innovative design procedure technology on the cost of operations the compounding of asymmetric information ex post plus moral hazard and renegotiation may generate diseconomies of scope in agency costs which for high operational risk can make unbundling optimal in this context the use of private flnance can help re establishing the beneflt of bundling only if lenders have su cient expertise to help assessing project risks

market clearing with stochastic security part i formulation the first of this two paper series formulates a stochastic security constrained multi period electricity market clearing problem with unit commitment the stochastic security criterion accounts for a pre selected set of random generator and line outages with known historical failure rates and involuntary load shedding as optimization variables unlike the classical deterministic reserve constrained unit commitment here the reserve services are determined by economically penalizing the operation of the market by the expected load not served the proposed formulation is a stochastic programming problem that optimizes concurrently with the pre contingency social welfare the expected operating costs associated with the deployment of the reserves following the contingencies this stochastic programming formulation is solved in the second companion paper using mixed integer linear programming methods two cases are presented a small transmission constrained three bus network scheduled over a horizon of four hours and the ieee reliability test system scheduled over 24 h the impact on the resulting generation and reserve schedules of transmission constraints and generation ramp limits of demand side reserve of the value of load not served and of the constitution of the pre selected set of contingencies are assessed

stochastic security for operations planning with significant wind power generation in their attempt to cut down on greenhouse gas emissions from electricity generation several countries are committed to install wind power generation up to and beyond the 10 20 penetration mark however the large scale integration of wind power represents a challenge for power system operations planning because wind power 1 cannot be dispatched in the classical sense and 2 its output varies as weather conditions change this warrants the investigation of alternative short term power system operations planning methods capable of better coping with the nature of wind generation while maintaining or even improving the current reliability and economic performance of power systems to this end this paper formulates a short term forward electricity market clearing problem with stochastic security capable of accounting for nondispatchable and variable wind power generation sources the principal benefit of this stochastic operation planning approach is that when compared to a deterministic worst case scenario planning philosophy it allows greater wind power penetration without sacrificing security

strategic self dispatch considering ramping costs in deregulated power markets ramp rates of generators are generally specified within elastic range of the strength of the shaft to safeguard the rotor from fatigue these limits can however be exceeded albeit at the risk of reducing the rotor life such effects on the rotor life can be compensated by incorporating appropriate ramping costs power demand and power price in deregulated power markets have shown a tendency of sudden wide excursions over short intervals of time the ability to respond to such fast change in demand and price can be quite rewarding this provides the motivation to utilize the ramping rates beyond traditional elastic limits this paper studies the strategic use of ramping rates beyond elastic limits in a power producer s self dispatch in a power market with price and demand volatility a set of ramping processes has been developed from ramping cost versus ramping time relationships to derive the total operation cost including ramping costs for various levels of ramping rates exceeding elastic limits a thorough theoretical analysis has been conducted for the selection of the optimal ramping process under different conditions a numerical example is presented to highlight the potential benefits from the optimal use of these ramping processes it is seen that the benefit from the strategic use of ramp rates beyond elastic limits not only depends on the high price in the power market but also on the initial loading of the generator which limits the capacity available for dispatch

market clearing with stochastic security part ii case studies this paper analyzes the market clearing formulation with stochastic security developed in its companion paper through two case studies solved using mixed integer linear programming techniques the generation and reserve schedules as well as the nodal prices of energy and security are assessed under various conditions such as a line flow limits b when nonspinning reserve is excluded from the formulation c demand side valuation of energy not served d generator ramping limits and e the set of pre selected contingencies

dcopf based marginal loss pricing with enhanced power flow accuracy by using matrix loss distribution on current days many of the power markets are adopting the practice of marginal loss pricing the dc optimal power flow dcopf model is still mostly used for the purpose of market clearing owing to its simplicity robustness and higher speed of convergence within the dcopf framework transmission line losses are represented as additional external loads on the system in the classical dcopf model of marginal loss pricing as implemented in the new england market the aggregated network loss is distributed over the system nodes in a fixed ratio to gain more design flexibility in the distribution of system losses a matrix loss distribution mld framework is developed in this paper maintaining compatibility with financial transmission rights in mld each individual line is considered separately for the purpose of loss distribution the ratio in which the power loss in a certain line is distributed can be different from that in which the power loss in another line is distributed the additional design flexibility thus obtained assists in making a more accurate representation of the power flow the benefit of mld is illustrated through a case study an energy reference independent application of mld is also suggested

collusion delegation and supervision with soft information this paper derives an equivalence principle between organizational forms of supervisory and productive activities we consider an organization with an agent privately informed on his productivity and a risk averse supervisor getting signals on the agent s type in a centralized organization the principal can communicate and contract with both the supervisor and the agent however these two agents can collude against the principal in a decentralized organization the principal only communicates and contracts with the supervisor who in turn sub contracts with the agent we show that the two organizations achieve the same outcome we discuss this equivalence and provide various comparative statics results to assess the e ciency of supervisory structures

optimal active reactive power dispatch under competition via bilevel programming this paper proposes an active reactive power dispatch procedure that is expressed via a bilevel optimization problem whose upper and lower level criteria are respectively the minimum opportunity cost and minimum offered price of active power it analyzes the impact of minimizing such criteria on system operation and it investigates the behavior of marginal prices and opportunity costs and their use in mechanisms to compensate generators for power provision the bilevel problem is solved using a version of interior point methods derived for mathematical programs with complementarity constraints results obtained with three test systems are analyzed

a security constrained bid clearing system for the new zealand wholesale electricity market this paper reports upon the mathematical models and implementation of the scheduling pricing and dispatch spd application for the new zealand electricity market nzem spd analyzes bids for energy offers reserve offers and energy demands and recognizes explicitly the effects on bid clearing due to transmission congestion network losses reserve requirements and ramp rate limits advanced lp solution methods are utilized to solve the large scale constrained optimization problem results on a 67 bus test system and the nzem are included

fdi and the dynamics of productivity in indonesian manufacturing this article examines productivity growth in the indonesian manufacturing sector we use a longitudinal data set to calculate the effects on aggregate manufacturing productivity growth from improvements within establishments from reallocation of market shares and from the turnover of plants productivity growth is mainly explained by reallocation of market shares and from turnover of plants moreover the foreign contribution to productivity growth is unclear and depends on the choice of productivity measure a cautious conclusion is that the foreign contribution is about the same size as the foreign share of manufacturing output finally there is a difference in the causes of productivity growth between foreign and domestic plants

value based transmission expansion planning of hydrothermal systems under uncertainty transmission planning studies in hydrothermal systems deal with complex issues two include 1 the need for a robust grid that can accommodate a large number of economic dispatch patterns caused by differing hydrological conditions in the river basins and 2 the high cost of grid reinforcements due to the large distance from hydro plants to load centers and the required n l security criterion it is thus necessary to consider the tradeoff between supply reliability and reinforcement cost the resulting planning problem is formulated as a large scale mixed integer nonlinear optimization model the objective function is to minimize the sum of investment costs and expected load shedding costs the constraints include linearized power flow equations limits on circuit flows for all combinations of economic dispatch points which capture hydrological variation and circuit contingencies which capture supply reliability this paper describes a new solution scheme for this problem that is based on two techniques 1 the extension of a binary disjunctive technique which transforms the integer nonlinear problem into a linear one and 2 screening strategies which allow a judicious choice of contingencies and candidate circuits planning studies for brazil and bolivia are presented and discussed

continuous time marginal pricing of electricity the current practice of discrete time electricity pricing starts to fall short in providing an accurate economic signal reflecting the continuous time variations of load and generation schedule in power systems this paper introduces the fundamental mathematical theory of continuous time marginal electricity pricing we first formulate the continuous time unit commitment problem as a constrained variational problem and subsequently define the continuous time economic dispatch ed problem where the binary commitment variables are fixed to their optimal values we then prove that the continuous time marginal electricity price equals to the lagrange multiplier of the variational power balance constraint in the continuous time ed problem the proposed continuous time marginal price is not only dependent to the incremental generation cost rate but also to the incremental ramping cost rate of the units thus embedding the ramping costs in calculation of the marginal electricity price the numerical results demonstrate that the continuous time marginal price manifests the behavior of the constantly varying load and generation schedule in power systems

a security constrained energy and spinning reserve markets clearing system using an interior point method a model and solution approach to a daily energy and spinning reserve electricity markets clearing system is presented in this paper the model considers offers for energy supply and spinning reserve bids for demand of energy and re schedulable bilateral contracts system security is taken into account by using a direct current model the model represents the clearing system used by an iso in charge of both the market and system security the clearing system is formulated as an optimization problem which is solved using an interior point method ipm taking advantage of the problem s special structure

the value of information and optimal organization the paper addresses the issue of optimal organization of production i compare three organizational forms centralization one agent produces difierent inputs decentralization each of the two agents produces a difierent input and contracts directly with the principal and delegation two agents produce difierent inputs the principal contracts with one of them only the optimal organizational form depends on the degree of complementarity substitutability between the inputs in the flnal use the degree of complementarity substitutability also determines whether delegation is payofi equivalent to the two agent mechanism from the point of view of the principal in the context of delegation i consider which of the two agents should serve as the primary contractor i also address the issue of collusion between the agents in a decentralized organization and characterize the conditions under which a stake of collusion exists jel fields d2 d82 l23

energy and reserve dispatch in a multi zone electricity market competitive bidding for ancillary services a s in addition to bidding for energy is increasingly recognized as an important part of electricity markets in this paper an lp based approach is presented for solving the multi product i e energy and a s products multi zone area physical market dispatch problem the approach can explicitly represent various constraints such as reserve requirement constraints network security limits and sharing of constrained resource capacity e g maximum unit generation between energy and reserve the joint dispatch method which dispatches energy and reserve market concurrently is extended to allow inter zonal reserve trading in a multi zone competitive pool numerical examples are included to demonstrate the salient characteristics of the joint dispatch solution

decomposition model and interior point methods for optimal spot pricing of electricity in deregulation environments in this paper an integrated optimal spot pricing model is presented first the proposed model includes the detailed derivation of optimal nodal specific real time prices for active and reactive powers and the method to decompose them into different components corresponding to generation loss and many selected ancillary services such as spinning reserve voltage control and security control the features of the proposed model are discussed in relationship to existing pricing models and classical economic dispatch the model is then implemented by modifying existing newton opf methods through interior point algorithms which can effectively avoid go no go gauge i e highly volatile in the calculation of spot prices case studies on 5 bus and ieee 30 bus systems are reported to illustrate the proposed method

information incentives and organizational mode we examine the choice of organizational mode for a two stage production process wherein cost realizations at each stage are observed only by the producing party when these costs are positively correlated the principal prefers to undertake second stage production herself when the correlation is negative and sufficiently small she will prefer that the agent who performs the first stage also perform the second for large negative correlation either mode might be preferred when costs are uncorrelated the principal is indifferent between modes

economic and environmental implications of different approaches to hedge against wind production uncertainty in two settlement electricity markets a pjm case study abstract this paper examines the economic and environmental outcomes of four two settlement electricity market clearing designs the first design corresponds to a deterministic market clearing dmc similar to the mechanism currently used in organized wholesale electricity markets in the united states the other three designs account for the day ahead da wind power production uncertainty into the da market mechanisms either implicitly or explicitly an augmented deterministic market clearing admc design introduces da ramp capability products these products ensure adequate and ramp feasible electricity generation capacity commitments in the da stage to cope with the real time realization of wind power generation a hybrid deterministic market clearing hdmc design augments admc by explicitly integrating a characterization of wind power production uncertainty into the residual unit commitment ruc process which is run after the da market is closed using stochastic programming the last design referred to as stochastic market clearing smc uses stochastic optimization to explicitly account for wind power production uncertainty in the da market clearing mechanisms i e da unit commitment and economic dispatch the four market clearing designs are assessed by simulating the electricity market operations of a test system and comparing their results in terms of operating costs prices costs and revenues of different types of producers consumer s payments integration of wind power and air emissions the test system has 12 of the capacity of pjm s fossil fired power generation fleet and uses data on coincident demand and wind power production from the bonneville power administration bpa system during years 2010 2014 the simulations are performed hourly for a whole year results show that smc is superior as its costs reductions are more than two times the improvements attained by admc and hdmc also smc results in electricity prices that are better aligned with operation costs cuts the spread between the day ahead and real time prices by 40 reduces out of market short term revenue sufficiency payments by 58 reduces co2 emissions by 3 52 and decreases power plants cycling hdmc is a distant second best market design relative to dmc it achieves a reduction in total costs that is less than half the reduction achieved by smc a reduction in out of market payments that is 80 of the reduction attained by smc and an increase in wind power integration that is