基于改进免疫遗传算法的电力系统无功优化  

Reactive power optimization of power system based on the improved immune genetic algorithm

作　　者：王秀云[1] 邹磊[1] 张迎新[1] 李辉[1] 潘文明[1] 

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012

出　　处：《电力系统保护与控制》2010年第1期1-5,共5页Power System Protection and Control

摘　　要：针对无功优化问题的特点,在现有免疫遗传算法基础之上,提出一系列改进措施,形成了一种新的解决无功优化问题的改进免疫遗传算法。该算法将免疫遗传算法中常用的二进制编码改进为整、实数混合编码,提高了计算速度与精度;将通常的选择、变异操作与进化代数相联系,形成具有动态调整功能的改进Boltzmann退火选择、非均匀变异算子,提高了算法的全局收敛性,加快了计算速度;引入疫苗接种概念,有效地抑制了算法在进化过程中出现的退化现象,进一步加快了算法的收敛速度。以IEEE30节点系统为例对该改进算法的性能进行了测试,结果表明了该算法的有效性和可行性。According to the reactive power optimization characteristics, this paper proposes a series ot Improvements basea on me existing immune genetic algorithm, and forms a new kind of improved immune genetic algorithm, which is applied to solve the problems of reactive power optimization. In the improved algorithm, the binary code mode is substituted by the whole and real number of mixed code mode, which improves the computing speed and precision. The common operations of selection and mutation are connected with the evolution generations to form improved Boltzmann annealing selection and non-uniform mutation, which have the dynamic alignment function. All these improvements enable the algorithm to have a better global convergence, simultaneously accelerate the computation speed. The introduction of vaccine inoculation concept has effectively suppressed the degenerated phenomenon which appears in the evolution process to furtherly speed up the algorithm convergence rate. IEEE 30-bus system is used to test the performance of the improved algorithm, and the results show its validity and feasibility.

关 键 词：无功优化 免疫遗传算法 改进免疫遗传算法 非均匀变异算子 免疫疫苗 

分 类 号：TM714[电气工程—电力系统及自动化]