基于改进细菌群体趋药性算法的无功优化  

Reactive power optimization based on the improved bacterial colony chemotaxis algorithm

作　　者：李秀卿[1] 孙守鑫[1] 张超[1] 刘文祥 徐剑锋 倪晶[4] 

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012 [2]鹤岗电业局,黑龙江鹤岗154200 [3]黑龙江省电力科学研究院系统室,黑龙江哈尔滨150036 [4]东北农业大学工程学院电气工程系,黑龙江哈尔滨150030

出　　处：《电力系统保护与控制》2011年第8期56-59,共4页Power System Protection and Control

摘　　要：基于细菌群体趋药性(Bacterial Colony Chemotaxis,BCC)算法提出变速菌群趋药性(Gear Bacterial Colony Chemotaxis,GBCC)算法,将其应用于电力系统无功优化。GBCC算法引入带有权重系数的变速公式,使得GBCC算法前期能够较快地收敛于几个最优解的周围,后期能够在最优解周围进行细致搜索,克服了BCC算法易于收敛于局部最优解的缺点。建立基于GBCC算法的无功优化数学模型,给出GBCC算法的具体步骤。通过对IEEE30节点算例的测试,得到GBCC算法在无功优化问题上的收敛速度和优化效果。A Gear Bacterial Colony Chemotaxis（GBCC） algorithm is presented based on Bacterial Colony Chemotaxis algorithm to deal with reactive power optimization problem in power system.GBCC algorithm introduces a gear formula with a weight coefficient,which makes GBCC algorithm converge around a few of the optimal solutions quickly at early stage and later search carefully around the optimal solutions.The BCC algorithm＇s shortcoming of easily converging to local optimal solution is overcome.This paper establishes a mathematical model of reactive power optimization which is based on GBCC algorithm and gives specific steps of GBCC algorithm.Through the test of IEEE-30 bus examples,the convergence speed and optimization results of GBCC algorithm in dealing with reactive power optimization problem are obtained.

关 键 词：菌群趋药性算法 变速菌群趋药性算法 无功优化 变速思想 收敛性 收敛速度 

分 类 号：TM714[电气工程—电力系统及自动化]