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基于改进Tabu搜索算法的电力系统无功优化
引用本文:王洪章,熊信艮,吴耀武.基于改进Tabu搜索算法的电力系统无功优化[J].电网技术,2002,26(1):15-18.
作者姓名:王洪章  熊信艮  吴耀武
作者单位:华中科技大学电力工程系,湖北省武汉市,430074
摘    要:本文将一种改进的Tabu搜索算法(MTSA)用于电力系统无功优化,建立了相应的数学模型,考虑了有功损耗费用和补偿费用,使得总费用最小。在一般Tabu搜索算法的基础上,对搜索步长、禁忌表、不同循环起始点的选择以及算法终止判据等问题做了分析、讨论,并做了一些改进,使得更容易朱出局部最优解,保证可以搜索整个可行域,从而得到全局最优解的可能性更。应用MTSA对IEEE6节点系统行了无功优化计算,与线性规划算法、Box算法进行了比较,结果表明MTSA与Box算法一类的随机搜索算法的优化结果相近,而较之浅性规划算法具有更强的全局寻优能力。

关 键 词:电力系统  无功优化  Tabu搜索算法  随机搜索  无功功率补偿
文章编号:1000-3673(2002)01-0015-04
修稿时间:2001年3月5日

POWER SYSTEM REACTIVE POWER OPTIMIZATION BASED ON MODIFIED TABU SEARCH ALGORITHM
WANG Hong zhang,XIONG Xin yin,WU Yao wu.POWER SYSTEM REACTIVE POWER OPTIMIZATION BASED ON MODIFIED TABU SEARCH ALGORITHM[J].Power System Technology,2002,26(1):15-18.
Authors:WANG Hong zhang  XIONG Xin yin  WU Yao wu
Abstract:A modified Tabu search algorithm (MTSA) is applied to power system reactive power optimization and a corresponding mathematical model is established in this paper in which the cost for line losses and its compensation devices are considered to be minimum. On the basis of general Tabu search algorithm, the step size, Tabu list, selection of different iteration start point and termination criterion of the algorithm are analyzed and some corresponding improvements are made, thus, it is easily to stop the iteration of partial optimization and it is more probable to achieve the global optimization by use of MTSA. Comparing the optimized result for IEEE6 system by MTSA with that by LP algorithm and Box algorithm it shows that the optimization result of MTSA is similar to random search algorithms, but the former performs better in global optimization.
Keywords:power system  reactive power optimization  modified Tabu search algorithm  self  adapting step size  random search
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