电力系统保护与控制Issue(20)：110-115,6.
基于改进算子的免疫遗传算法的电压无功优化
Voltage and reactive power optimization based on immune genetic algorithm of improved operator
摘要
Abstract
According to the characteristic of voltage and reactive power optimization problem and the applicability of the immune genetic algorithm in solving global optimization problems, this paper applies immune genetic algorithm for voltage reactive power optimization system. It adopts the hybrid coding form when encodes and normalizes the similarity of antibodies, and takes transformation of fitness function in the choice of operation. The reasonable choice of transform coefficient value can maintain the population diversity algorithm in the early stage of the evolution and can still have a faster convergence speed in the late evolution. And it takes different measures in real number and integer gene in crossover and mutation. Taking the standard IEEE-30 node system for example and using optimization procedures to make reactive power optimization calculation, this paper verifies the proposed method has advantages in computing and convergence capabilities compared with other algorithms.关键词
全网无功优化/免疫遗传算法/实整混合编码/无功补偿/适应度变换Key words
global reactive optimization/immunity genetic algorithm/hybrid coding/reactive power compensation/fitness transformation引用本文复制引用
周攀,范旭娟,肖潇,徐宇,曾雯,陈立,彭杰..基于改进算子的免疫遗传算法的电压无功优化[J].电力系统保护与控制,2014,(20):110-115,6.基金项目
国家自然科学基金(50807041)；武汉市科技攻关计划（2013060501010164）；武汉市青年科技晨光计划（2013070104010010）资助项目This work is supported by National Natural Science Foundation of China (No.50807041) （50807041）
