基于改進禁忌搜索法的IEEE30節點系統無功優化
沈天時1，劉崇新1，岳青2，王李娟1，2
(1 西安交通大學 電氣工程學院，陜西 西安 710049；
2 陜西省地方電力(集團)有限公司，陜西 西安 710061)
摘 要： 介紹了電網無功優化的基本原則及方法，分析了電力系統無功優化多變量、多約束、非凸非線性的特性，建立了網損最小、兼顧電壓穩定性和設備費用的目標函數。采用人工智能方法中的禁忌搜索法及其改進算法，利用IEEE30 節點模型編制程序，針對某一確定時刻的系統進行無功優化，結果表明，該方法明顯提升了電網的經濟效益。
關鍵詞： 無功優化；禁忌搜索法；電壓質量；有功網損
中圖分類號：TM711；TM715 文獻標識碼：A 文章編號：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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