基于改进免疫算法的电力系统最优潮流计算  

Based on improvement immunity algorithm electrical power system optimal power flow computation

作　　者：肖力[1] 

机构地区：[1]鄂州大学计算机系,湖北鄂州436000

出　　处：《继电器》2007年第18期21-24,共4页Relay

基　　金：鄂州大学科学研究基金资助(2006005)

摘　　要：提出了一种改进的人工免疫算法来计算电力系统最优潮流,免疫算法是根据人或其它高等动物免疫系统的机理而设计的,将目标函数和不等式约束条件作为抗原,将搜索空间的解作为抗体,依据抗原与抗体的结合力以及抗体之间的结合力对解进行评价和选择,该算法在保持了基本免疫算法的全面搜索能力基础之上,又通过引入矢量距等概念及使得免疫算法在理论上保证了解的多样性。通过IEEE-30节点系统的计算结果表明该算法是可行的。与遗传算法等模拟进化算法相比,该算法全局搜索能力强,收敛速度快。This paper proposes a kind of improvement artificial immunization algorithm to calculate the electrical power system optimal tidal current. The algorithm, inspired by the immune system of human and other mammals, simulates the process of the interaction between antigens, antibodies and lymphocytes. The implement of artificial immune algorithm on ＇OPP＇ problem is described in the paper. The object function and part of inequality constrains serve as antigen and solution serves as antibody, this algorithm maintains the basic immunity algorithm comprehensive search ability, also the concept which is apart from through the introduction vector causes the immunity algorithm theoretically to guarantee the understanding the multiplicity. Through the IEEE-30pitch point system, computed result indicates this algorithm is feasible. And compared with the heredity algorithm, this algorithm overall situation search ability is strong, the convergence rate is quick.

关 键 词：最优潮流 人工免疫算法 模拟进化算法 

分 类 号：TM744[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]