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Article type: Research Article
Authors: Yang, Ying; * | Liu, Shaoshuai | Wang, Xiaolong | Guo, Xiaopeng
Affiliations: Shanxi Intelligent Transportation Institute Co., Ltd., Taiyuan, Shanxi, China
Correspondence: [*] Corresponding author. Ying Yang, Shanxi Intelligent Transportation Institute Co., Ltd., Taiyuan 030000, Shanxi, China. E-mail: [email protected].
Abstract: The optimal management of electrical energy systems is a major concern for energy providers facing uncertainties. In this work, energy demand management and dispatch in the electricity microgrid are performed using an interval optimization strategy under conditions of electricity price uncertainty. Demand dispatch is implemented through the Demand Response Program (DRP) incentive modeling. As a solution, incentive modeling based on the price of the offer to reduce electricity demand during peak periods is proposed. In order to minimize the effects of electricity price uncertainty, the interval optimization approach is used. The main goal of the proposed approach is to minimize the operational cost, and the epsilon constraint-based fuzzy method was used to solve and handle the problem. Finally, the power microgrid was used in different case studies for the results of the numeric simulations and for the positive effects of the proposed modeling under conditions of uncertainty.
Keywords: Uncertainties, interval optimization approach, demand response program (DRP), epsilon constraint method
DOI: 10.3233/JIFS-236130
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 7401-7412, 2024
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