Operation optimization strategy of multi-microgrids energy sharing based on asymmetric Nash bargaining

Operation optimization strategy of multi-microgrids energy sharing based on asymmetric Nash bargaining

Автор: Kang Chuanzhi, Zhang Zongnan, Kudashev Sergei, Liu Meinan, Zhang Qianwei, Pan Jiashuang

Журнал: Бюллетень науки и практики @bulletennauki

Рубрика: Технические науки

Статья в выпуске: 8 т.8, 2022 года.

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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.

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Shared energy storage plant, nash bargaining, optimized operation, alternating direction multiplier method

Короткий адрес: https://sciup.org/14125300

IDR: 14125300   |   DOI: 10.33619/2414-2948/81/36

Список литературы Operation optimization strategy of multi-microgrids energy sharing based on asymmetric Nash bargaining

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