电网技术2012，Vol.36Issue(2)：158-162,5.
基于改进粒子群算法的中压配电网无功优化
Reactive Power Optimization for Medium Voltage Distribution Network Based on Improved Particle Swarm Optimization
摘要
Abstract
Taking minimum annual operation cost as objective fimction, a mathematical model for reactive power optimization is built, and a dividing-gregarious particle swarm algorithm that integrates fission and mutation operations is proposed to solve the built model. The search region is narrowed by partitioning the network and reasonably setting upper compensation limit to implement simultaneous solution of both compensation position and compensation capacity. Based on standard particle swarm optimization （PSO） and by means of dividing and fission, the diversity of particles is kept to avoid the premature of convergence; by means of gregariousness and mutation the search accuracy of the proposed algorithm as well as its convergence stability are improved. Simulation results of IEEE 33-bus system show that the calculation accuracy and convergence stability of the proposed algorithm is better than the calculation results by standard PSO algorithm; the proposed algorithm possesses the ability of automatically regulating the number of compensation points that reactive quadric accurate moment method does not possess, and the compensation scheme possesses better economy and can effectively solve the reactive power optimization in medium-voltage distribution network.关键词
无功优化规划/改进粒子群算法/中压配电网Key words
optimal reactive power planning/improved particle swarm optimization/medium voltage distribution network分类
信息技术与安全科学引用本文复制引用
张庭场,耿光飞..基于改进粒子群算法的中压配电网无功优化[J].电网技术,2012,36(2):158-162,5.基金项目
教育部中央高校基本科研业务费专项资金资助项目（2010JS098）. （）
