### Literature Review
Additionally, optimal behavior of several aggregated HESs is analyzed by means of a day-ahead stochastic economic dispatch (ED) and UC model based on MILP. [PERSON] and [PERSON] [21] presented a scheduling model of a system enrolled in a RTP program composed of wind and photovoltaic generation, as well as a microturbine and a fuel cell, based on anti-predatory PSO. [PERSON] et al. [22] proposed a methodology to solve ED and UC problems using the time-scaling transformation combined with an auxiliary continuous vector. [PERSON] et al. [23] proposed a two-stage scheduling methodology for BESS performance evaluation. In the first step, UC problem including the effects of thermal and wind generators is solved by means of second-order cone programming. Then, in the second step, the management strategy for BESS is designed and evaluated using a genetic algorithm (GA). [PERSON] et al. [24] investigated the operation of HESs using a MILP. BESS sizing is deeply discussed, concluding that this element is a key device for the provision of fast energy reserve. The same author in [25] proposed a model able to consider different time resolutions, based on the combination of model predictive control and MILP. [PERSON] et al. [26] presented a model for the solution of SCUC including BESS. Aging cost related to BESS operation is incorporated to the objective function. Then, MILP is combined with information-gap decision theory so that the conservatism of the strategy to be implemented can be adjusted by the system operator. [PERSON] [27] created and experimentally tested the performance of an energy management system (EMS) based on the solution of UC by Lagrangian relaxation. Thus, control values of permanent magnet generator of the wind turbine and the power-electronic converter are obtained. [PERSON] et al. [28] formulated a SCUC model including the effects of BESS in order to compensate the variability of renewable power sources. The mathematical problem is solved by using Bendersdecomposition, determining the locational marginal price, wind power curtailment, as well as the line contingency. [PERSON] et al. [29] proposed a general purpose ESS model inspired by the behavior of hydraulic reservoirs. Using the results obtained from stochastic dual DP, carried out to determine the long-term energy schedule, the linear model of ESS cost is derived. Finally, stochastic UC, including the aforementioned ESS model, was formulated. [PERSON] et al. [30] developed a scheduling model based on multi-agent system for the coordination of multiple MGs. Such coordination is carried out by means of the alternating direction method of multipliers, obtaining the optimal energy management of the multiple MGs. Additionally, the negative effects of uncertainty sources are compensated by using day-in rolling. [PERSON] et al. [31] proposed a dispatch model able to incorporate different operating perspectives related to fuel savings, carbon emissions, power generation costs, amount of renewable energy integrated, and power generation efficiency. Uncertainty of renewable generation and forecasting of carbon-trading price were included by using Monte Carlo simulations, while the associated optimization model was solved by implementing the technique for order preference by similarity to ideal solution combined with Grey relational analysis. [PERSON] et al. [32] presented a scheduling model for a HES based on renewable and thermal generation, as well as cascade hydropower and pumped ESS. The model focuses on the economy and security aspects of system operation. The optimization strategy is divided into three main stages. During the first stage, integer variables are preprocessed using heuristic rules. Then, during the second stage, ED and UC are solved. Finally, during stage three, power system feasibility was evaluated. Once the literature review has been exposed, describing the state-of-the-art techniques used for day-ahead scheduling, the main contribution and novelty of this work are carefully explained in the next section.