Distributed Cooperative Scheduling Strategy for Microgrid Groups Oriented to High Proportion Renewable Energy

Under the background of global energy transition and “double carbon” goal, high proportion of renewable energy grid-connected has become an important trend in the development of power system. To solve the mismatch between load demand and output fluctuation of renewable energy sources such as wind energy and solar energy, a microgrid distributed cooperative scheduling strategy based on improved Alternating Direction Multiplier Method (ADMM) is proposed. By constructing a multi-microgrid model including wind-driven microgrid, photovoltaic microgrid and energy storage system, a two-layer optimization framework considering carbon trading mechanism is established: the upper layer aims at minimizing the total operating cost; the lower layer ensures the stability of the system through supply-demand balance constraints, interactive power constraints and energy storage operation constraints. A dynamic penalty factor adjustment mechanism is introduced to solve the convergence oscillation problem of traditional ADMM in random environment by combining residual proportion judgment with random gradient compensation. Simulation results show that the proposed strategy can reduce the total cost of the system by 13.5%, reduce carbon emissions by 12.3%, and improve the convergence speed by 22% due to the dynamic adjustment mechanism.