Analysis of the Reactive Power Control Strategy based on Improved Particle Swarm Algorithm

摘要

According to the number of constraints of the reactive power control equipment, this paper considers the constraints of the voltage in the load of extreme points of the segmentation program period, and uses dynamic optimization of sub-segmentation in the load curve. It solves the optimization based on applying improved particle swarm optimization into load curve segments, and uses particle swarm optimization through adaptive inertia weight and acceleration factor, phase initialization and mutation operations in order to improve the ability of global optimization.