电力系统保护与控制2017，Vol.45Issue(15)：77-84,8.DOI:10.7667/PSPC170542
基于多目标粒子群算法的高维多目标无功优化
Multi-objective reactive power optimization based on the multi-objective particle swarm optimization algorithm
摘要
Abstract
The paper proposes a high-dimensional multi-objective reactive power optimization model of power system.Compared with the traditional power system reactive power optimization model,the proposed model can balance the active loss,voltage level,static voltage stability and power supply capacity in reactive optimization.Owing to the limitations of the existing algorithm for solving the multi-objective reactive power optimization model,a new high-dimensional multi-objective particle swarm optimization algorithm based on Pareto entropy is introduced and improved further in this paper to effectively solve the high-dimensional multi-objective optimization problem.Finally,the correctness and validity of the proposed model and the algorithm are verified by IEEE-39 node system.In addition,the simulation results show that the introduction of power supply capacity into traditional multi-objective reactive power optimization model can improve system's power supply capacity with no deterioration in optimization of other objective functions.关键词
无功优化/高维多目标优化/供电能力/粒子群算法Key words
reactive power optimization/high-dimensional multi-objective optimization/power supply capacity/particle swarm optimization algorithm引用本文复制引用
蔡博,黄少锋..基于多目标粒子群算法的高维多目标无功优化[J].电力系统保护与控制,2017,45(15):77-84,8.基金项目
This work is supported by National Natural Science Foundation of China (No.51677069).国家自然科学基金项目(51677069) （No.51677069）
