基于改进遗传算法的电网无功优化  

Reactive Power Optimization of Power System Based on Modified Genetic Algorithm

作　　者：韩净[1] 侯宜祥[2] 

机构地区：[1]马鞍山供电局,安徽马鞍山243000 [2]安徽电气工程职业技术学院,安徽合肥230022

出　　处：《安徽电力职工大学学报》2004年第1期14-17,共4页Journal of Anhui Electric Power College for Staff

摘　　要：无功运行优化问题的关键在于获得最优解或较好的次优解。传统的线性规划法和非线性规划法不能很好地处理整型变量问题 ,而简单遗传算法的鲁棒性不高。结合高中压配电网的特点 ,本文对简单遗传算法进行了改进 :采用十进制整型编码法和排序选择法 ,并对末位个体进行更新 ,最后采用模式法修正局部最优解。数值对比试验表明 ,本方法是合理的和可行的 。The key to the optimization of reactive power operation is to get optimum value or satisfying quasi optimum value. Traditional linear programming technique and non-linear programming technique can not deal with the problem of integer variable successfully, and the simple genetic algorithm (SGA) is not very robust. Allowing for the characteristics of high-medium voltage distribution system, the SGA is modified as follows: using decimal integer coding and ranking selection method, replacing the worst individuals with new ones, and improving the fitness of the best individual of every generation by pattern search. Numerical experiment demonstrates that, the above method is reasonable, feasible, and practical to some extent.

关 键 词：遗传算法 电网 无功优化 整型编码 排序更新 模式法 十进制整型编码 

分 类 号：TM761[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]