Cooperative Active-Reactive Power Optimization Strategy for Distribution Networks Based on Improved African Vultures Optimization Algorithm

In recent years, with the high proportion of distributed generation (DG) connected to the distribution network, a series of problems such as voltage overrun and network loss increase have arisen, and the difficulty of reactive power optimization has been increased. This paper establishes a reactive power optimization model for distribution networks with DG, obtains the scenic output through Monte Carlo sampling, considers the safe operation of distribution networks, takes into account the cooperative scheduling of energy storage devices and reactive power compensation devices, sets network losses and operating costs as the optimization objectives, and introduces the crossing penalty function as an index to measure the voltage stability of distribution networks, and proposes a reactive power optimization strategy for distribution networks with DG based on an improved African vultures optimization algorithm. The results show that the proposed optimization strategy can effectively reduce the network loss, improve the system voltage stability, and reduce the comprehensive operation cost of the distribution network.