混沌粒子群優化算法在配電網無功優化中的應用
鐘旭，康積濤，趙丹陽
西南交通大學 電氣工程學院，四川 成都 610031
摘 要：針對電力系統無功優化的特點，提出了一種基于傳統粒子群優化(PSO) 算法的改進型智能算法——混沌粒子群優化(CPSO) 算法。CPSO 算法采用混沌初始化進行改善個體質量和利用混沌擾動避免搜索過程陷入局部極值，利用該算法分別對IEEE14 和IEEE30 節點系統進行仿真測試。仿真結果表明，CPSO 算法相對于PSO 算法，優化效果理想，收斂速度快。
關鍵詞：無功優化；粒子群優化算法；混沌粒子群優化算法
中圖分類號：TM714.3 文獻標識碼：A 文章編號：1007-3175(2013)10-0031-03
Application of Chaotic Particle Swarm Optimization Algorithm in Power Distribution Network Reactive Optimization
ZHONG Xu, KANG Ji-tao, ZHAO Dan-yang
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract: Aiming at features of power system reactive optimization, this paper raised an improved intelligent type algorithm based on traditional particle swarm optimization (PSO) algorithm, chaotic particle swarm optimization (CPSO) algorithm. The CPSO algorithm adopted chaotic initialization to carry out improving individual quality, using chaotic disturbance to avoid getting into local extremum in searching process. The algorithm was used to carry out simulation tests respectively for IEEE 14 and IEEE30 node systems. Simulation result shows that compared with the PSO algorithm, the CPSO algorithm has ideal optimization effect with fast convergence.
Key words: reactive optimization; particle swarm optimization algorithm; chaotic particle swarm optimization algorithm
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