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基于细菌群体趋药性算法的电力系统无功优化
引用本文:许秀丽,王震宇,王洪军,孙毅,李欣.基于细菌群体趋药性算法的电力系统无功优化[J].东北电力学院学报,2009,29(4):1-6.
作者姓名:许秀丽  王震宇  王洪军  孙毅  李欣
作者单位:许秀丽(东北电力大学,电气工程学院,吉林,吉林,132012);王震宇(烟台龙源电力技术股份有限公司,山东,烟台,264003);王洪军,孙毅(齐齐哈尔电业局,黑龙江,齐齐哈尔,161005);李欣(德恩电力集团有限公司,黑龙江,齐齐哈尔,161005) 
摘    要:采用细菌群体趋药性算法求解电力系统无功优化问题.针对n维变量寻优问题,提出将n维空间的求解问题化简为(n-1)个二维空间求解,并给出了新的求解此二维空间的表达式;针对细菌个体与群体的搜索特点,引入自适应步长,对细菌每次移动过程中的移动步长和方向进行自适应调整;针对细菌迭代过程中寻找到的最优值,引入最优状态板,使最优值不被随机抛弃.这些策略提高了算法运算速度,同时保证算法全局搜索的能力.对IEEE30节点测试,证实该法在无功优化计算中的有效性.

关 键 词:无功优化  细菌群体趋药性算法  自适应步长

Reactive Power Optimization of Power System Based on the Bacter Colony Chemotaxis Algorithm
XU Xiu-li,WANG Zhen-yu,WANG Hong-jun,SUN Yi,LI Xin.Reactive Power Optimization of Power System Based on the Bacter Colony Chemotaxis Algorithm[J].Journal of Northeast China Institute of Electric Power Engineering,2009,29(4):1-6.
Authors:XU Xiu-li  WANG Zhen-yu  WANG Hong-jun  SUN Yi  LI Xin
Affiliation:XU Xiu-li~1,WANG Zhen-yu~2,WANG Hong-jun~3,SUN Yi~3,LI Xin~4 (1.Electrical Engineering College of Northeast Dianli University,Jilin City,Jilin Province,132012,2.Longyuan Electric Power Technology Co.,Ltd,Yantai City,Sh,ong Province,264003,3.Qiqihaer Electric Power Bureau,Qiqihaer City,Heilongjiang Province,161003,4.Deen Electricity Group Co.,161003)
Abstract:The BCC algorithm is employed to solve the problems of reactive power optimization.The optimization of n-dimensional problem was simplified as the optimization of n -1 sub-problems of 2-dimension by presenting the new formulation.As for the searching characteristic of a cell and colony,the author introduces self-adaptive step strategy,which automatically adjusts the step length and the direction of bacterium.The bullitn can remain the best direction of bacter which may be abandened at randen.These strategie...
Keywords:reactive power optimization  bacter colony Chemotaxis  self-adaptive step  
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