基于改進(jìn)禁忌搜索法的IEEE30節(jié)點(diǎn)系統(tǒng)無功優(yōu)化 

沈天時(shí)1，劉崇新1，岳青2，王李娟1，2 
(1 西安交通大學(xué) 電氣工程學(xué)院，陜西 西安 710049；
2 陜西省地方電力(集團(tuán))有限公司，陜西 西安 710061) 
 

摘 要： 介紹了電網(wǎng)無功優(yōu)化的基本原則及方法，分析了電力系統(tǒng)無功優(yōu)化多變量、多約束、非凸非線性的特性，建立了網(wǎng)損最小、兼顧電壓穩(wěn)定性和設(shè)備費(fèi)用的目標(biāo)函數(shù)。采用人工智能方法中的禁忌搜索法及其改進(jìn)算法，利用IEEE30 節(jié)點(diǎn)模型編制程序，針對(duì)某一確定時(shí)刻的系統(tǒng)進(jìn)行無功優(yōu)化，結(jié)果表明，該方法明顯提升了電網(wǎng)的經(jīng)濟(jì)效益。
關(guān)鍵詞： 無功優(yōu)化；禁忌搜索法；電壓質(zhì)量；有功網(wǎng)損
中圖分類號(hào)：TM711；TM715 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1007-3175(2015)07-0019-05

Reactive Power Optimization of IEEE30 Node System Based on Improved Tabu Search Method 

SHEN Tian-shi1, LIU Chong-xin1, YUE Qing2, WANG Li-juan1,2 
（1 School of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049,China;
2 Shanxi Regional Electric Power Group Co., Ltd, Xi’an 710061 , China） 
 

Abstract: Introduction was made to the basic principles and methods of reactive power optimization. Analysis was made to thefeatures of reactive power optimization, such as multi-variable, multiple-constraint, non-convex and nonlinear. This paper builtthe target function with minimum grid losses, which made a compromise between the quality of voltage and the cost of device.The tabu search method in artificial intelligence and its improved algorithm were adopted and the IEEE30 node model was used to program, so as to carry out reactive power optimization for the system at certain definitive time. The results show that this reactive power optimization method can upgrade the economic effectiveness of grid.
Key words: reactive power optimization; tabu search method; voltage quality; active power losses

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