Multi-objective reactive power optimization in power system based on improved PSO-OSA algorithm

摘要

With the rapid development of Chinese economy, the power industry is playing a more and more important role in the development of Chinese economy. The optimal reactive power in the power system plays an important role in the voltage stability of the power system and reducing the loss of active power. The calculation results of particle swarm optimization algorithm, oriented search algorithm and PSO-OSA hybrid algorithm in reactive power optimization of power system is compared, and the performance of the proposed method has been tested on the IEEE 30-bus systems in this paper. The simulation results show that the proposed method is able to produce well distributed Pareto optimal solutions for the optimal reactive power problem.