Bi-level Optimization Scheduling of Source Load Storage in Park Grids Based on niche APSO Algorithm

Since a large amount of new energy generation is connected to the active distribution network, the volatility and randomness of photovoltaic and wind power pose great challenges to the economic and reliability of grid operation. Based on this background, with the objective of minimizing the comprehensive operating cost of the park level power grid, a bi-level optimization scheduling model for source load storage in the park level power grid was established, and an adaptive particle swarm optimization algorithm based on niche technology was proposed to solve the construction model. The simulation results show that the proposed model has better regional search ability and convergence speed, meeting the economic and reliability requirements of active distribution network operation.