Research on Active and Reactive Power Coordination Optimization of Active Distribution Network Based on Shared Energy Storage

Aiming at the coordinated optimization of active and reactive power in Active Distribution Network (ADN), this study establishes a coordinated optimization model based on shared energy storage in ADN. The improved NSGA-II algorithm and forward-backward method are integrated for solving, and comparative experiments are conducted with predefined scenarios, analyzed using the Hypervolume metric. Simulation results validate the effectiveness of the proposed strategy and method. Shared energy storage and optimization algorithms not only optimize network losses, improve voltage levels, and enhance power quality but also further optimize electricity costs, providing new insights for the optimization of ADN.