Optimal Configuration of Multi-microgrid System with Multi-agent Joint Investment Based on Stackelberg Game

doi:10.11930/j.issn.1004-9649.202107162

Abstract

Abstract: With more and more microgrids operate in coordination, the process of power interaction between microgrids and between microgrids and distribution networks has become increasingly complicated, which also affects the investment interests of microgrid and distribution network operators. To explore the best planning strategy for joint investment between the two, this paper proposes a method for optimal configuration of the multi-microgrid system with multi-agent investment based on the Stackelberg game. Firstly, on the basis of the multi-microgrid system model, a function model is constructed, which considering the operating costs and economic benefits of microgrid operators, investment costs of distribution network operators in microgrids, as well as interests of delays in grid upgrades and electricity sales and purchases. Then, a Stackelberg game model is built to minimize the payoff function of the multi-microgrid system and maximize the revenue of distribution networks separately. In addition, an algorithm combining the adaptive genetic algorithm and particle swarm optimization is proposed to solve the optimal configuration of distributed power in the multi-microgrid system. Finally, a comparative experiment with four sets of plans proves that the proposed planning method can better balance the revenue between multi-microgrid operators and distribution network operators.

Key words: multi-microgrid system, joint investment, optimal configuration, Stackelberg game, adaptive genetic algorithm

PAN Ruiyuan, TANG Zhong, SHI Chenhao, WEI Minjie, LI An, DAI Weiyang. Optimal Configuration of Multi-microgrid System with Multi-agent Joint Investment Based on Stackelberg Game[J]. Electric Power, 2022, 55(6): 65-73,127.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202107162

https://www.electricpower.com.cn/EN/Y2022/V55/I6/65

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