基于改进BCC算法的电力系统无功优化研究  

Reactive power optimization in power system based on improved bacterial colony chemotaxis arithmetic

作　　者：魏志连[1] 熊春友[2] 荆易柯 黄伟[1] 张聪[1] 

机构地区：[1]华北电力大学,北京102206 [2]河南送变电建设公司,河南郑州450051 [3]郑州供电公司,河南郑州450051

出　　处：《继电器》2007年第21期18-21,27,共5页Relay

摘　　要：针对传统BCC算法中的忽略原有运动惯性而导致过早收敛的问题,提出了改进的BCC算法,并对其应用于电力系统无功优化问题进行研究。引入惯性因子,使得该算法能在考虑邻域内种群优良信息的同时计及细菌本身运动惯性,在结合电力系统无功优化特征的基础上进行惯性权重因子的动态调节,从而取得问题的全局优化解。通过对IEEE30节点的标准算例测试,验证了改进BCC算法在提高电网无功优化的收敛速度和优化效果上有令人满意的性能。The original BCC algorithm neglects the inertia of bacteria and lead to early convergence. For this reason, this paper proposes a method to improve the algorithm and apply it to solve the reactive power optimization of power system. By the introduction of inertia factor, the algorithm not only considers the influence of fellows around it but also the inertia of itself. At the same time, by optimizing the parameters and combined with reactive power optimization of power system, this paper proposes the improved BCC algorithm to achieve the global optimization. This method applies to the IEEE-30-bus system, and the result shows that the algorithm can improve the convergence speed and optimized result.

关 键 词：无功优化 进化算法 细菌群体趋药性算法 细菌个体BI(bacteria individual) 收敛性 局部收敛 

分 类 号：TM714[电气工程—电力系统及自动化]