Master-slave game-based optimal operation of microgrids containing customer-owned photovoltaics

Xinyue Liu; Yuehui Ji; Shaobo Shi; Junjie Liu; Qiang Gao; Zhao Xu

doi:10.1117/12.3024316

13 May 2024 Master-slave game-based optimal operation of microgrids containing customer-owned photovoltaics

Xinyue Liu, Yuehui Ji, Shaobo Shi, Junjie Liu, Qiang Gao, Zhao Xu

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131598B (2024) https://doi.org/10.1117/12.3024316
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Due to the dispersed and disorderly feathers of distributed photovoltaic (PV) power generation on the user side, the difficulties of the low-carbon transformation of the power grid and sustainable development of large-scale distributed PV power generation is increased. Based on a master-slave game, this article proposes an optimizing scheme for the operation of microgrids, where the users-built PV and shared energy storages. Firstly, this paper introduces the operational framework of the system and the functions of Micro-Network Operator (MNO) and Load Aggregator (LA). The optimization operation models for MNO and LA are modelled in the framework of Stackelberg master-slave game. The game relationship between MNO and LA is analyzed. Yalmip tool with the CPLEX solver are introduced to solve the differential evolution algorithm. Final, the effectiveness of the proposed method is verified in numerical examples.

Citation Download Citation

Xinyue Liu, Yuehui Ji, Shaobo Shi, Junjie Liu, Qiang Gao, and Zhao Xu "Master-slave game-based optimal operation of microgrids containing customer-owned photovoltaics", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131598B (13 May 2024); https://doi.org/10.1117/12.3024316

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