Active and Reactive Power Coordination Optimization of Wind-Light-Storage and Distribution Network Based on Improved Gray Wolf Algorithm

In order to achieve the goal of “double carbon”, a large number of wind, light and other new energy generation is connected to the power system, which brings great challenges to its security and stability. Equipped with certain energy storage can improve its stability. In this paper, the active and reactive power coordination optimization model of distribution network with wind-light-storage is established, which can effectively increase the consumption of renewable energy and reduce the network loss and voltage deviation. Then, an improved multi-objective gray Wolf algorithm (MPSWO) based on particle swarm niche technology is proposed. The model can be solved effectively. Finally, the simulation results of IEEE33 and IEEE69 nodes show that the model can effectively reduce the network loss and voltage deviation, and improve the operation stability of the distribution network. It also shows that the proposed algorithm is universal.