Research on day-ahead transactions between multi-microgrid based on cooperative game model

Weidong Chen, Junnan Wang, Guanyi Yu, Jiajia Chen and Yumeng Hu

Applied Energy, 2022, vol. 316, issue C, No S0306261922004913

Abstract: Microgrids are one of the most common forms of distributed energy participation in the electricity market. This paper discusses the lack of market competition among independent microgrids as a factor in setting up a cooperative alliance among microgrids. Independent microgrids aim to minimize the system's overall operating costs. The first principle is to maximize scenery output and consumption. We develop and solve an optimization model to obtain the interactive power with the distribution network and the charging and discharging power arrangement for the energy storage module. We then construct a cooperative game model among multiple microgrids on this basis. Nash bargaining is used to coordinate the distribution of benefits among microgrids, as well as to analyze the optimal trading power and tariffs among microgrids. The research proves that the cooperative game among microgrids can realize the flexible consumption of renewable energy in the region. Microgrids also have lower operating costs. The Nash bargaining helps the members in the coalition to get satisfactory trading power and tariff. Additionally, it effectively improves the overall operational efficiency and market competitiveness of microgrid systems.

Keywords: Multi-microgrid; Power trading; Cooperative game; Nash bargaining (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (19)

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DOI: 10.1016/j.apenergy.2022.119106

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