A reconfiguration method of robust game for distribution-microgrid coordination considering battery aging cost

To address the challenges brought by the uncertainty of sources and loads to the economic operation of the new power system, a robust game-based reconstruction method for distribution-microgrid coordination considering battery aging costs is proposed. Firstly, in the context of the carbon trading and electric energy trading markets, aiming at optimizing the economic operation of the distribution grid and MG, and taking into account the battery aging costs in the battery energy storage model, a two-level Stackelberg game-based reconstruction model for distribution-MG coordination is put forward. Then, driven by the historical data sets of distributed photovoltaic output and loads, the improved K-means clustering algorithm is adopted to conduct scenario clustering, and a distribution-MG coordination robust game-based reconstruction model based on the KL divergence is established. Finally, combined with the KKT condition and the C&CG algorithm, the two-level robust game-based reconstruction model for distribution-MG coordination is transformed into a single-level model for iterative solution. The numerical results of the simulation based on the improved 69-bus system example show that the total operating cost of the proposed method can be reduced by 2.14 % compared with other MG reconstruction strategies, and can be reduced by 10.55 % and 19.08 % respectively compared with the strategies that do not consider P2P energy exchange and the strategies that do not consider reactive power compensation services. Further analysis shows that the proposed coordinated distribution-microgrid robust game reconstruction method considering the battery aging cost can effectively improve the economic efficiency and robustness of the system operation.