基于改进克隆选择算法的无功优化  

Reactive Power Optimization of Power System Based on Improved Colonial Selection Algorithm

作　　者：任静 范彩云 张志刚 刘堃 李旭升 洪波 王宇丁 李凯 

机构地区：[1]许继电气股份公司,河南许昌461000

出　　处：《电网与清洁能源》2015年第3期62-68,共7页Power System and Clean Energy

摘　　要：提出一种改进克隆选择算法解决无功优化问题。该算法采用分级的变异策略,对每一代种群中的抗体按亲和力进行分级,根据等级确定变异范围和变异率:较低等级中的抗体(较优秀抗体)采用小范围、小变异率进行变异,较高等级中的抗体(相对较差的抗体)采用大范围、大变异率进行变异,兼顾算法的局部和全局搜索能力;结合均匀设计原理构造初始种群,与随机分布相比,在同样规模下,具有更好的种群多样性,且以较大的概率在全局最优解附近存在抗体,避免陷入局部最优解,提高算法的收敛速度;对IEEE 30节点系统进行仿真,结果表明:该算法具有解的质量高、收敛性能好等优点。This paper presents an improved colonial selec-tion algorithm (ICSA) for reactive power optimization. The proposed method employs hierarchic mutation strategy, in which anti-bodies go into the appropriate levels according to the affinity. Superior antibodies in lower-level have smaller mutation range and mutation rate while inferior antibodies in topper-level have larger ones,which can improve the local and global search capabilities simultaneously. A uniform design method adopted to make initial population has more diversity population compared to that produced by random,and it is highly probable that antibodies distribute around the optimal solution. Therefore,it is favorable to avoid only local solutions to be solved and the computation speed can be effectively improved. ICSA applied for reactive power is evaluated on an IEEE-30 bus power system. It is shown that the proposed algorithm has better efficiency,accuracy and stability.

关 键 词：电力系统 无功优化 克隆选择算法 分级变异 均匀设计 

分 类 号：TM714.3[电气工程—电力系统及自动化]