عنوان مقاله :
Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers
عنوان به زبان ديگر :
فاقد عنوان فارسي
پديد آورندگان :
Separi، Faramarz Department of Electrical Engineering - Faculty of Electrical and Computer Engineering - Babol Nooshirvani University of Technology, Babol, Iran , Sheikholeslami، Abdolreza Department of Electrical Engineering - Faculty of Electrical and Computer Engineering - Babol Nooshirvani University of Technology, Babol, Iran , Barforoshi، Taghi Department of Electrical Engineering - Faculty of Electrical and Computer Engineering - Babol Nooshirvani University of Technology, Babol, Iran
كليدواژه :
Demand Response Program , Retail Electricity Providers , Locational Marginal , Prices , Uncertainty , NSGA-II
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
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.
عنوان نشريه :
مهندسي برق و الكترونيك ايران
