电力系统无功优化的改进遗传算法研究  

Study on Improved Genetic Algorithm of Reactive Power Optimization in Power System

作　　者：朱鹰屏[1] 张绪红[1] 董湘君[1] 

机构地区：[1]广东技术师范学院,广东广州510635

出　　处：《广东技术师范学院学报》2010年第12期1-4,共4页Journal of Guangdong Polytechnic Normal University

摘　　要：针对传统遗传算法在无功功率优化中不能收敛的情况,选用了混合整数编码、锦标赛选择机制和临近变异等措施对遗传算法进行改进.这些改进符合电力系统运行的实际,具有较好的收敛精度和收敛速度.IEEE14节点系统的优化结果表明该方法优化性能较好,能较快地搜索到最优解.Because basic genetic algorithm（GE） can not resolve the divergence in reactive power optimization in power system,an improved GE is discussed from integer coding,tournament selection and neighbourhood mutation.These measures are consistent with power system＇s running fact,providing better accuracy and fast convergence.The simulation of IEEE14 nodes shows this algorithm has superiority and feasibility to finding optimal value.

关 键 词：无功优化 遗传算法 临近变异 选择 编码 

分 类 号：O224[理学—运筹学与控制论]