Double-Level Multi-Objective Optimal Scheduling of Microgrid Considering Customer Satisfaction of Electric Vehicles

LIU Minghang, TIAN Shu, LIANG Yingda

Distributed Energy ›› 2022, Vol. 7 ›› Issue (2) : 18-25.

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Distributed Energy ›› 2022, Vol. 7 ›› Issue (2) : 18-25. DOI: 10.16513/j.2096-2185.DE.2207203
Basic Research

Double-Level Multi-Objective Optimal Scheduling of Microgrid Considering Customer Satisfaction of Electric Vehicles

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Abstract

In order to solve the problems of daily load fluctuation and operation cost increase caused by disordered charging of electric vehicle (EV) after large-scale connection to microgrid, a double-layer multi-objective optimal scheduling scheme of microgrid considering user satisfaction was proposed. In the scheme, the day-ahead optimization scheduling process of microgrid is divided into distribution network layer and load layer. In the distribution network layer, the scheduling strategy of electric vehicle aggregator (EVA) is formulated to minimize daily load variance and system operating cost. The load layer formulates the charging strategy of each EV, and maximizes the comprehensive satisfaction of users according to the requirements of the distribution network system layer under the scheduling plan of EVA. Through the comparison and analysis of multiple scenarios, the results show that the proposed optimization model not only reduces the variance of daily load and improves the economy of the system, but also improves the comprehensive satisfaction of users and the enthusiasm of users to participate in scheduling.

Key words

electric vehicle (EV) / double-layer optimization / comprehensive user satisfaction / NSGA-Ⅱ algorithm / optimal scheduling

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LIU Minghang , TIAN Shu , LIANG Yingda. Double-Level Multi-Objective Optimal Scheduling of Microgrid Considering Customer Satisfaction of Electric Vehicles[J]. Distributed Energy, 2022, 7(2): 18-25 https://doi.org/10.16513/j.2096-2185.DE.2207203.

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Funding

Project supported by National Natural Science Foundation of China(61703144)
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