Operation Optimization Strategy of Multi-microgrids Energy Sharing Based on Asymmetric Nash Bargaining

作者：Ch. Kang, Zhicai Zhang, S. Kudashev, Ming Liu, Qingfu Zhang, Jing Pan · 发表于：Bulletin of Science and Practice · 年份：2022 · DOI：10.33619/2414-2948/81/36 · 被引用次数：23 · 研究领域：Microgrid Control and Optimization、Smart Grid Energy Management

The accommodation of renewable energy is driving the development of energy storage technology, and shared energy storage has gained widespread attention because of its decentralized nature. In the optimal scheduling of shared energy storage, the problem of benefit distribution among multiple subjects is faced, so a shared energy storage plant operation optimization method based on Nash bargaining theory is proposed. The article constructs a joint model of shared energy storage plants and industrial users, establishes the cooperative operation model of each operator based on Nash bargaining theory, equates this nonconvex nonlinear problem into two subproblems of system revenue maximization and power transaction payment bargaining according to the mean value inequality, and uses the alternating direction multiplier method to solve them in a distributed manner. The algorithm selects three typical industrial users to participate in the joint system of shared energy storage, and through comparative analysis before and after cooperative bargaining, it is concluded that the proposed optimization method can effectively improve the benefits of each subject, while promoting the accommodation of new energy. Размещение возобновляемых источников энергии стимулирует развитие технологий хранения энергии, а совместное хранение энергии получило широкое распространение благодаря своей децентрализованной природе. При оптимальном планировании совместного использования накопителей энергии возника...