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

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

摘 要：針對電力系統(tǒng)無功優(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)行改善個體質(zhì)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(jié)點(diǎn)系統(tǒng)進(jìn)行仿真測試。仿真結(jié)果表明，CPSO 算法相對于PSO 算法，優(yōu)化效果理想，收斂速度快。
關(guān)鍵詞：無功優(yōu)化；粒子群優(yōu)化算法；混沌粒子群優(yōu)化算法
中圖分類號：TM714.3 文獻(xiàn)標(biāo)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

參考文獻(xiàn)
[1] 劉自發(fā)，葛少云，余貽鑫. 基于混沌粒子群優(yōu)化方法的電力系統(tǒng)無功最優(yōu)潮流[ J ] . 電力系統(tǒng)自動化，2005，29(7)：53-57.
[2] Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed.Power system stabilizer design using hybrid multi-objective particle swarm optimization with chaos[J].Journal of Central South University，2011(5)：875-877.
[3] 柳賀，黃猛，黃道. 基于混沌搜索的優(yōu)化方法的研究進(jìn)展[ J ] . 南京理工大學(xué)學(xué)報(bào)：自然科學(xué)版，2005，29(z1)：124-128.
[4] 張江維，王翠茹，袁和金，等.基于改進(jìn)粒子群算法的電力系統(tǒng)無功優(yōu)化[J].中國電力，2006，39(2)：14-18.
[5] Wu Q H, Cao Y J, Wen J Y.Optimal reactive power dispatch using an adaptive genetic algorithm[J].Electrical Power & Energy System, 1998，20(8)：563-569.