免疫蚁群算法在电力系统无功优化中的应用  

Application of immune ant colony algorithm in power system reactive power optimization

作　　者：夏新运[1] 陈永煌[1] 张红[1] 

机构地区：[1]安徽工程大学电气工程学院,安徽芜湖241000

出　　处：《安徽工程大学学报》2011年第1期66-68,共3页Journal of Anhui Polytechnic University

基　　金：安徽省高校自然科学资金资助项目(KJ2010B013)

摘　　要：将人工免疫算法和蚁群算法相结合形成免疫蚁群算法,运用免疫机理提取疫苗获得初始解,通过免疫操作加快算法收敛速度,并用基于浓度的选择机制抑制算法的"早熟".将该算法用于求解电力系统无功优化问题进行仿真,结果表明它的收敛速度和计算精度都有较大提高.This paper presents an algorithm for power system reactive power optimization using Immune Ant Colony Algorithm.The hybrid algorithm gains the initial solution using the immune mechanism for extraction vaccine,accelerates its convergence speed through the immunity operation,and avoids its precocity based on mechanism of concentration choice.The simulation results show that its convergence speed and ability of searching for approximate global optimal solution are greatly improved.

关 键 词：蚁群算法 人工免疫算法 免疫蚁群算法 疫苗 无功优化 

分 类 号：TM734[电气工程—电力系统及自动化]