Two-stage real-time optimal electricity dispatch strategy for urban residential quarter with electric vehicles’ charging load

Yipu Li, Hao Su, Yun Zhou, Lixia Chen, Yiwei Shi, Hengjie Li and Donghan Feng

Energy, 2023, vol. 268, issue C

Abstract: The potential of demand-side management and the schedulable ability of electric vehicles (EVs) encourage demand-side management operators such as residential load aggregators to dispatch the electricity demand and supply of the residential quarter and enhance the economics and security of energy use. Considering the uncertainties in the arrival time, departure time, and charging amount of EVs, a two-stage real-time optimal electricity dispatch strategy for residential quarters with EVs' charging load is proposed here. First, a real-time optimal approach is proposed based on the receding horizon optimization process to decompose the day-ahead optimal period into sequential advanced optimization horizons. Second, considering the dual optimization goals of economics and security, a two-stage optimization procedure is proposed for the residential quarter's electricity dispatch in the advanced optimization horizon. Specifically, the first-stage optimization model aims to minimize the total cost of electricity of the residential quarter. And the second-stage optimization model is to minimize the peak-valley load difference of the residential quarter. Based on these models, a solving timeline with detailed steps for the proposed two-stage real-time optimal electricity dispatch strategy is presented. Finally, case studies on the data of a real residential quarter located in Shanghai demonstrate the effectiveness of the proposed methodology.

Keywords: Optimal electricity dispatch; Electric vehicle; Residential quarter; Two-stage; Real-time (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:268:y:2023:i:c:s0360544223000968

DOI: 10.1016/j.energy.2023.126702

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