en Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers قدرت Power پژوهشي Research <div dir="ltr">In this paper, the short-term scheduling for demand response program (DRP) with retail electricity providers (REPs) with light physical assets is proposed. The main contribution is to determine an optimal multi-objective model for these REPs to integrate them into design-model of the incentive-based DRP for retail markets, considering load uncertainties on the locational marginal prices (LMP). Fuzzy logic modeling is used for simulating load uncertainty. Non-dominated sorting genetic algorithm (NSGA-II) is used, due to non-linearity and thus the complexity of the proposed model. A non-linear sorting system based on fuzzy logic is also utilized to find the best compromise among the set of solutions generated by the Pareto-front space. IEEE 24 bus reliability test system is utilized to explain the optimal performance of the proposed approach.<strong><span dir="RTL"><span style="font-family:B Nazanin;"><span style="font-size:11.0pt;"></span></span></span></strong></div> In this paper, the short-term scheduling for demand response program (DRP) with retail electricity providers (REPs) with light physical assets is proposed. The main contribution is to determine an optimal multi-objective model for these REPs to integrate them into design-model of the incentive-based DRP for retail markets, considering load uncertainties on the locational marginal prices (LMP). Fuzzy logic modeling is used for simulating load uncertainty. Non-dominated sorting genetic algorithm (NSGA-II) is used, due to non-linearity and thus the complexity of the proposed model. A non-linear sorting system based on fuzzy logic is also utilized to find the best compromise among the set of solutions generated by the Pareto-front space. IEEE 24 bus reliability test system is utilized to explain the optimal performance of the proposed approach.<strong><span dir="RTL"></span></strong> Demand Response Program, Retail Electricity Providers, Locational Marginal Prices, Uncertainty, NSGA-II Demand Response Program, Retail Electricity Providers, Locational Marginal Prices, Uncertainty, NSGA-II. 1 10 http://jiaeee.com/browse.php?a_code=A-10-1587-1&slc_lang=en&sid=1 ّFaramarz Separi ّFaramarz Separi Fa_separi@yahoo.com 10031947532846007305 10031947532846007305 No Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology Abdolreza Sheikholeslami Abdolreza Sheikholeslami asheikh@nit.ac.ir 10031947532846007306 10031947532846007306 Yes Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology Taghi Barforoshi Taghi Barforoshi barforoshi@nit.ac.ir 10031947532846007307 10031947532846007307 No Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology