Non-cooperative game theory based active distribution network recovery strategy

Qing Liu; Yizhou Sun; Tianxiang Ma

doi:10.1117/12.2639713

19 October 2022 Non-cooperative game theory based active distribution network recovery strategy

Qing Liu, Yizhou Sun, Tianxiang Ma

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 1229432 (2022) https://doi.org/10.1117/12.2639713
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

With the development of distribution network, load importance is sometimes different from load demand, the load shedding strategy made during fault recovery often results in the reduction of user satisfaction. Therefore, this paper proposes the idea of introducing non-cooperative game into the distribution system fault recovery model, and regards the fault recovery problem as a two-players game between grid and user. Firstly, the improved adaptive genetic algorithm is used to solve the fault recovery model to obtain the initial recovery strategy. Then, the user satisfaction is calculated and used as the condition for the user to initiate the game to the grid, then the recovery strategy is dynamically adjusted. Moreover, all the strategies that satisfy the conditions are selected to construct the recovery strategy set. Finally, the Nash equilibrium solution which balanced the participants’ interests is solved from the strategy set according to the game criteria. The proposed strategy which finds the optimal recovery strategy that meets the minimum total payment value and the highest user satisfaction is verified based on the modified IEEE33 node model.

Citation Download Citation

Qing Liu, Yizhou Sun, and Tianxiang Ma "Non-cooperative game theory based active distribution network recovery strategy", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 1229432 (19 October 2022); https://doi.org/10.1117/12.2639713

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