基于菌群趋药性遗传算法的电压崩溃临界点计算  

Determination of Voltage Collapse Critical Point Based on Genetic Bacterial Colony Chemotaxis Algorithm

作　　者：吴蓓[1] 张焰[1] 陈闽江[1] 

机构地区：[1]上海交通大学电气工程系,上海200240

出　　处：《上海交通大学学报》2008年第2期333-336,共4页Journal of Shanghai Jiaotong University

摘　　要：针对电压崩溃临界点计算问题,提出了一种基于细菌趋药性(BC)算法和遗传算法(GA)的菌群趋药性遗传(GBCC)算法.该算法以群体搜索代替BC算法的单点搜索,以有指导意义的变异方向代替GA算法的随机变异操作,强调了群体中个体之间的信息交换,加快了算法收敛速度并提高了全局搜索能力.将该算法用于电压崩溃临界点的计算,在方便处理各种约束条件的同时,避免了传统求解方法带来的矩阵求逆等复杂运算.与连续潮流法计算结果的比较表明,该算法切实可行并具有较高的精度.Based on bacterial chemotaxis （BC） algorithm and genetic algorithm （GA）, a genetic bacterial colony chemotaxis algorithm was proposed to determine voltage collapse point. The proposed algorithm searches for optimum by bacterial colony instead of individual bacterial and guides mutation direction instead of stochastic direction. The convergence speed and the global search ability are improved due to information exchange among individuals in the group. Using the new method to find the maximum loading point is easy to deal with various constraints without the need to form any kind of matrices or getting the inverse of these. The numerical analysis and comparison with the results obtained by continuous power flow verify the accuracy of this algorithm.

关 键 词：电压崩溃临界点 随机优化 细菌趋药性 遗传算法 

分 类 号：TM712[电气工程—电力系统及自动化]