混沌粒子群優(yōu)化算法在配電網(wǎng)無(wú)功優(yōu)化中的應(yīng)用 

鐘旭，康積濤，趙丹陽(yáng) 
西南交通大學(xué) 電氣工程學(xué)院，四川 成都 610031 
 

摘 要：針對(duì)電力系統(tǒng)無(wú)功優(yōu)化的特點(diǎn)，提出了一種基于傳統(tǒng)粒子群優(yōu)化(PSO) 算法的改進(jìn)型智能算法——混沌粒子群優(yōu)化(CPSO) 算法。CPSO 算法采用混沌初始化進(jìn)行改善個(gè)體質(zhì)量和利用混沌擾動(dòng)避免搜索過(guò)程陷入局部極值，利用該算法分別對(duì)IEEE14 和IEEE30 節(jié)點(diǎn)系統(tǒng)進(jìn)行仿真測(cè)試。仿真結(jié)果表明，CPSO 算法相對(duì)于PSO 算法，優(yōu)化效果理想，收斂速度快。
關(guān)鍵詞：無(wú)功優(yōu)化；粒子群優(yōu)化算法；混沌粒子群優(yōu)化算法
中圖分類(lèi)號(hào)：TM714.3 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：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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