Volume 17, Issue 4 (JIAEEE Vol.17 No.4 2020)                   Journal of Iranian Association of Electrical and Electronics Engineers 2020, 17(4): 1-10 | Back to browse issues page

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Separi ّ, Sheikholeslami A, Barforoshi T. Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers. Journal of Iranian Association of Electrical and Electronics Engineers 2020; 17 (4) :1-10
URL: http://jiaeee.com/article-1-881-en.html
Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers
ّFaramarz Separi , Abdolreza Sheikholeslami * , Taghi Barforoshi
Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Nooshirvani University of Technology
Abstract:   (1736 Views)
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.
Keywords: Demand Response Program, Retail Electricity Providers, Locational Marginal Prices, Uncertainty, NSGA-II.
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Type of Article: Research | Subject: Power
Received: 2019/05/5 | Accepted: 2020/01/20 | Published: 2021/01/3
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