Reactive Power Optimization of Power System Based on Particle Swarm Optimization Algorithm

Abstract

With the popularization and development of the Power System (PS), the power factor and stability issues of the PS are becoming increasingly prominent. The Reactive Power (RP) in the PS has a significant impact on system stability and efficiency. Therefore, how to optimize the RP in the PS, improve power factor and stability, has become one of the research hotspots in the field of power. This paper aims to solve the problem of RP Optimization (OPT) in PS, and optimize the size and distribution of RP by using particle swarm OPT, so as to improve the stability and efficiency of PS. Through experimental testing, it was found that the Algorithm (ALG) has good performance in RP OPT problems and has great potential for application in PS OPT. The experimental results show that among these five sets of results, the value range of objective function 1 ranges from 156.75 kW^2 to 162.46 kW^2, indicating that different RP compensation capacities have different effects on the magnitude of RP loss.