consistent and robust delimitation of price zones under uncertainty with an application to central western europe abstract new and alternative delimitations of price zones for central western europe cwe might constitute a mid term solution to cope with the increasing congestion in the electricity transmission grids the significantly growing infeed from renewable energy sources puts more and more pressure on the grid and emphasizes the need for improved congestion management thus a new delimitation of price zones is frequently considered in current discussions and research the present paper applies a novel hierarchical cluster algorithm that clusters locational marginal prices and weights nodes depending on their demand and supply situation to identify possible new price zone configurations pzcs the algorithm is applied in a scenario analysis of six scenarios reflecting main drivers that influence the future development of european electricity markets in line with the trilemma of energy policy targets robustness of the new configuration is an important criterion for price zone configurations according to the european guideline on capacity allocation and congestion management cacm therefore a robust price zone configuration is computed taking into account all the six individual scenarios results show that shape size and price variations of price zones on the one hand strongly depend on the individual scenario on the other hand the identified robust configuration is shown to outperform other configurations particularly also the current price zone configuration in cwe

farm productivity and rural poverty in india armed with new data we return to an old question from the pages of this journal to what extent do india s rural poor share in agricultural growth combining data from 24 household sample surveys spanning 35 years with other sources we estimate a model of the joint determination of consumption poverty measures agricultural wages and food prices we find that higher farm productivity brought both absolute and relative gains to poor rural households a large share of the gains was via wages and prices though these effects took time the benefits to the poor were not confined to those near the poverty line

an aggregate weibull approach for modeling short term system generating capacity deregulation of electricity markets is occurring all over the world this trend introduces new risks and uncertainties into the electricity industry the most significant being price risk the spot price of electricity is highly volatile and the ability to price risk management contracts on this commodity is contingent on a robust and realistic model of the underlying price process one key driver of electricity spot price is the forced outages of generating plants in the system the current paper describes a system aggregate model of short term generating capacity that can be adapted to any generating system of interest after describing the model we test it using the ieee reliability test system rts

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

modeling agricultural growth multipliers agriculture s potential as an engine of third world growth depends in large part on the size of the production and consumption linkages it stimulates in rural regions current estimates of agricultural growth multipliers within rural regions vary widely not only because economic structures differ across regions but also because the array of fixed price models most commonly used embody widely differing basic assumptions among fixed price models the semi input output formulation projects the most plausible multipliers but even they overstate the magnitude of growth multipliers by 10 to 25 according to the price endogenous model developed here

establishing the role that wind generation may have in future generation portfolios assessing the correct future mix in generation portfolios has become more difficult given the introduction of emission trading schemes the recent fuel price rises and the increasing competitiveness of wind energy this paper combines analysis of generation economics load and wind generation characteristics generation adequacy and plant utilization to gain insight into the role of wind generation in desirable generation portfolios the unique characteristics of wind generation are accounted for in the analysis and sensitivity analysis is carried out with respect to discount rates carbon taxes and various fuel price scenarios results show that for a large range of future scenarios wind generation has a significant role to play in future generation portfolios in ireland mean variance portfolio theory is applied to examine the benefits of portfolio diversification in terms of avoiding exposure to volatile fuel prices analysis shows that wind generation has a further role to play in generation portfolios in this respect

stochastic joint optimization of wind generation and pumped storage units in an electricity market one of the main characteristics of wind power is the inherent variability and unpredictability of the generation source even in the short term to cope with this drawback hydro pumped storage units have been proposed in the literature as a good complement to wind generation due to their ability to manage positive and negative energy imbalances over time this paper investigates the combined optimization of a wind farm and a pumped storage facility from the point of view of a generation company in a market environment the optimization model is formulated as a two stage stochastic programming problem with two random parameters market prices and wind generation the optimal bids for the day ahead spot market are the ldquohere and nowrdquo decisions while the optimal operation of the facilities are the recourse variables a joint configuration is modeled and compared with an uncoordinated operation a realistic example case is presented where the developed models are tested with satisfactory results

stochastic optimization model to study the operational impacts of high wind penetrations in ireland a stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastic inputs is presented the schedules are updated in a rolling manner as more up to date information becomes available this is a fundamental change relative to day ahead unit commitment approaches the need for reserves dependent on forecast horizon and share of wind power has been estimated with a statistical model combining load and wind power forecast errors with scenarios of forced outages the model is used to study operational impacts of future high wind penetrations for the island of ireland results show that at least 6000 mw of wind 34 of energy demand can be integrated into the island of ireland without significant curtailment and reliability problems

productivity shocks budget deficits and the current account abstract productivity shocks and budget deficits are considered to be two key determinants of the current account in order to assess formally the role of both factors in driving current account movements the present paper extends the standard intertemporal model of the current account to allow for non ricardian household behavior testable cross equation restrictions for the current account and investment are derived by drawing on the distinction between country specific and global innovations to productivity as well as to the government budget we test the restrictions of the model against time series data for 21 oecd countries and find evidence in support of the model

a stochastic two settlement equilibrium model for electricity markets with wind generation incentives to encourage the uptake of renewable energy generation have fostered wind energy in many power systems these incentives usually take the form of market instruments e g feed in tariff or premium that are not directly amenable to optimization representations of the market in this paper we propose an equilibrium model of the short term market to address the impact of wind operation under different structural assumptions the model is formulated for several price taking risk averse firms in competition it accounts for wind generation uncertainty and embeds a representation of the day ahead and balancing mechanisms the consumer is modeled by a linear inverse demand function we focus on feed in premium as the incentive to wind as this is the instrument most favored today in european discussions the model is formulated as a stochastic equilibrium problem where the karush kuhn tucker kkt conditions from the optimization problem of each firm are simultaneously solved together with market clearing conditions on energy capacity for reserve and energy for reserve the problem for each firm consists of a two stage stochastic optimization problem with a recourse function based on the conditional value at risk cvar as a risk measure due to price taking assumptions the model is a single stage complementarity problem it is implemented and solved using the software gams an example based on a stylized simplification of the spanish power market and motivated by the impact of wind penetration on the revenue of conventional plants is used to illustrate the proposed approach

short term uncertainty in long term energy system models a case study of wind power in denmark when wind power constitutes a larger share of the electricity production mix credible and reliable modelling of its operation in long term investment models becomes increasingly important in this paper the intermittent characteristics of wind power are modelled as a stochastic parameter in a long term times model of the danish heat and electricity sector to our knowledge this is not a common approach in long term investment models and has not been done previously in times where the short term uncertainty of wind power is normally taken into account by a deterministic constraint that ensures excess back up capacity in our model the stochasticity gives lower total energy system costs significant lower investments in wind power less expected electricity export and higher expected biomass consumption compared to using the traditional deterministic approach also the deterministic investment strategy can be insufficient in periods with poor wind conditions based on our findings we recommend using a stochastic representation of intermittent renewables in long term investment models to provide more solid results for decision makers

monte carlo computation of power generation production costs under operating constraints this paper highlights the need for considering the stochastic processes associated with the frequency and duration of generating unit outages for assessing the mean and variance of production costs under operating constraints a numerical example based on a markov model is given to show that monte carlo estimates of these quantities may be incorrect if only the forced outage rates are used in place of the stochastic parameters underlying the outage frequency and duration additionally it describes a variance reduction procedure whereby the monte carlo estimates can be obtained with a much smaller sample size than would be required otherwise a numerical example is given for a small system

the value of intra day markets in power systems with high wind power penetration in this paper the value of intra day markets in managing wind power uncertainty in competitive electricity markets is analyzed a competitive electricity market model consisting of a day ahead market and a number of intra day markets is considered real time operation adjustment is also taken into account stochastic programming is used to model decision making under wind power uncertainty numerical simulations based on two test systems are presented

scheduling and pricing for expected ramp capability in real time power markets higher variable renewable generation penetrations are occurring throughout the world on different power systems these resources increase the variability and uncertainty on the system which must be accommodated by an increase in the flexibility of the system resources in order to maintain reliability many scheduling strategies have been discussed and introduced to ensure that this flexibility is available at multiple timescales to meet variability that is the expected changes in system conditions two recent strategies have been introduced time coupled multi period market clearing models and the incorporation of ramp capability constraints to appropriately evaluate these methods it is important to assess both efficiency and reliability but it is also important to assess the incentive structure to ensure that resources asked to perform in different ways have the proper incentives to follow these directions which is a step often ignored in simulation studies we find that there are advantages and disadvantages to both approaches we also find that look ahead horizon length in multi period market models can impact incentives this paper proposes scheduling and pricing methods that ensure expected ramps are met reliably efficiently and with associated prices based on true marginal costs that incentivize resources to do as directed by the market case studies show improvements of the new method

performance of wholesale electricity markets with high wind penetration abstract this paper examines the impact of progressively deeper levels of wind generation and or abatement on the performance of a wholesale market and its incumbent thermal generators with non convex unit commitment constraints comparison is made to the result that marginal cost pricing should induce investors to build the least cost capacity mix since it is not clear that this will hold in renewable rich systems it is first found that unit commitment and forecast uncertainty do not cause significant departure from this result when the generator fleet is optimal optimality in this sense is determined in a capacity expansion problem that does not feature unit commitment and which allows thermal generators to be built or retired as greater renewable generation or abatement is mandated in contrast the wholesale market with no retirement of thermal generation experiences progressively greater disparity between total system prices and costs and lower returns to generators simply due to over capacity rather than any form of variability related market failure a carbon price is observed to be far superior to a renewable portfolio standard when the existing set of thermal generators do not retire but this difference is less stark when the generation mix is optimal the implications of these results for market design and system planning are then discussed

the effects of location and sectoral components of economic growth on poverty evidence from indonesia abstract in this paper we investigate the relationship between economic growth and poverty reduction by differentiating growth and poverty into their sectoral composition and urban rural location using data from indonesia we find that rural services growth reduces poverty in all sectors and locations however urban services growth has the largest effect on poverty in most sectors finally we also find that rural agriculture growth strongly reduces poverty in rural areas the largest contributor to poverty in indonesia this implies that while agriculture growth in rural areas still plays a major role in reducing poverty policies that enable strong growth in the services sector in both urban and rural areas would expedite poverty reduction

why has economic growth been more pro poor in some states of india than others abstract we use 20 household surveys for india s 15 major states spanning 1960 1994 to study how the sectoral composition of economic growth and initial conditions interact to influence how much growth reduced consumption poverty the elasticities of measured poverty to farm yields and development spending did not differ significantly across states but the elasticities of poverty to urban and rural non farm output varied appreciably and the differences were quantitatively important to the overall rate of poverty reduction states with higher elasticities did not experience higher rates of non farm growth the non farm growth process was more pro poor in states with initially higher literacy higher farm productivity higher rural living standards relative to urban areas lower landlessness and lower infant mortality

estimating the relative benefits of agricultural growth on the distribution of expenditures does the sectoral composition of aggregate economic growth affect poverty we ask whether agricultural growth in developing countries increases the expenditures of poorer households more than growth in other sectors while some reduced form analyses have tackled this question using either country level time series data regional panel data for one country or cross sectional country data this paper is unusual in using panel data for many countries we improve on much of the existing literature by devising an instrumental variables strategy to correct for the endogeneity of sectoral gdp growth involving averaging over sectoral income growth rates for neighboring countries our principal finding from our instrumental variable estimator is that the estimated elasticities associated with growth in agricultural income are significantly greater than for non agricultural income for all but the extreme top and bottom deciles in the middle range of the income distribution the effect of a given gdp growth due to agriculture is 3 4 times larger than if it was due to non agricultural activities having established that on average growth in gdp originating in agriculture is more beneficial for poorer deciles we finally explore whether this is a pattern which holds across different groupings of countries a second important finding is that there is heterogeneity across some groupings most particularly we find that it is the poorest people in the poorest countries for whom agricultural income growth is the most beneficial

load following reserves procurement considering flexible demand side resources under high wind power penetration the variable and uncertain nature of the leading renewable energy resources such as wind power generation imposes the development of a sophisticated balance mechanism between supply and demand to maintain the consistency of a power system in this study a two stage stochastic programming model is proposed to procure the required load following reserves from both generation and demand side resources under high wind power penetration besides a novel load model is introduced to procure flexible reserves from industrial clients load following reserves from load serving entities lse are also taken into account as well as network constraints load shedding and wind spillage the proposed methodology is applied to an illustrative test system as well as to a 24 node system

optimal interconnection and renewable targets for north west europe we present a mixed integer linear programming model for determining optimal interconnection for a given level of renewable generation using a cost minimisation approach optimal interconnection and capacity investment decisions are determined under various targets for renewable penetration the model is applied to a test system for eight regions in northern europe it is found that considerations on the supply side dominate demand side considerations when determining optimal interconnection investment interconnection is found to decrease generation capacity investment and total costs only when there is a target for renewable generation higher wind integration costs see a concentration of wind in high wind regions with interconnection to other regions

wind storage interconnection and the cost of electricity generation abstract we evaluate how increasing wind generation affects wholesale electricity prices balancing payments and the cost of subsidies using the irish single electricity market sem as a test system with hourly data from 1 january 2008 to 28 august 2012 we model the spot market using a system of seemingly unrelated regressions sur where the regressions are the 24 hours of the day wind has a negative impact on the system marginal price with every mwh increase in wind generation equal to about 0 2 of the average wind generation in our sample leading to a decrease of the system marginal price of 0 018 mwh or about 0 3 of its average value we use time series models to analyse the balancing market and show that wind generation increases balancing payments as do the forecast errors of demand and wind every mwh of additional wind generation is associated with an increase in constraint payments of 3 2 or about 0 01 lack of storage increases the impact of wind on balancing payments whereas the lack of interconnection has no effect overall wind decreases costs through its effect on the electricity price more than it increases constraint payments even when storage is on outage the effect of wind remains positive after including the cost of subsidies given to wind generation

modeling the impact of a wind power producer as a price maker wind energy is present in many countries throughout the world the main types of wind sales in electricity markets are via regulated tariffs or pool based markets production companies choose cost effective options for selling wind energy and some markets like the irish electricity market use regulated tariffs to remunerate wind production this paper aims to provide some answers to explain what effect wind offers may have in an electricity market if wind power producers participated in the day ahead market without receiving any premium or aid a price maker optimization model is used to detect its effect on prices the model encompasses energy offers by other technologies using residual demand curves and detailed modeling of wind imbalances it is observed that wind acting as price maker reduces electricity prices and the imbalance penalties help the system operator to reduce imbalances a realistic case study using data from the irish electricity market illustrates the methodology used comparing the effect of imbalance penalties in the models in terms of profit and total imbalance of the system

global income inequality this paper presents a non technical summary of the current state of debate on the measurement and implications of global inequality inequality between citizens of the world it discusses the relationship between globalization and global inequality it shows why global inequality matters and proposes a scheme for global redistribution