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.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第8期56-59,共4页
Power System Protection and Control
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
bacterial colony chemotaxis algorithm
gear bacterial colony chemotaxis algorithm
reactive power optimization
changing-speed thought
convergency
convergency speed
