Cooperative and Integrated Operation of the Power Equipment Network Based on Main-Distribution Coordination

In order to realize the overall economic operation of the power equipment network, this manuscript proposes a hybrid algorithm based on Genetic Algorithm and Satin Bowerbird Optimizer, which is used for coordinated operation between the grids of power equipment networks. Firstly, a power grid architecture with a main-distribution coordination is constructed to ensure that the synergy between the main network and the distribution network is met. Secondly, the division of grids is introduced and a hybrid algorithm is proposed for the coordinated operation between grids. Finally, two microgrids in a region are analyzed as examples. The results show that the proposed method reduces the total system cost by 40.1% and cuts carbon emissions by 53.5% compared to independent grid operation. Additionally, the hybrid algorithm converges efficiently within 24 iterations, demonstrating strong global and local optimization capabilities. This approach significantly improves the flexibility, stability, and economic efficiency of power system operation while supporting sustainable development goals.