一种基于改进遗传算法的最小化停电损失费用的配电网重构  

Network Reconfiguration Based on Improved Genetic Algorithm for Minimum Interruption Cost Reduction

作　　者：余健明[1] 姜明月[1] 杨文宇[1] 

机构地区：[1]西安理工大学自动化与信息工程学院,陕西西安710048

出　　处：《西安理工大学学报》2005年第4期387-390,401,共5页Journal of Xi'an University of Technology

摘　　要：提出一种基于操作簇改良策略的配电网重构遗传算法。将以操作簇为单位的遗传操作中出现的不可行解改良为可行解,建立了以停电损失费用最小为目标函数进行网络重构的数学模型,并采用IEEE RBTS配电系统进行了测试。结果表明,该优化算法可有效地降低配电系统的停电损失费用,且性能优良。This paper presents an improved genetic algorithm based on operating-duster improvement strategy in which the infeasible solutions arising out of GA operation are improved into feasible ones. Also ,a mathematical model to carry out the network reconfiguration with the minimum interruption cost as the target function in the case of interruption cost is established. The IEEE RBTS is adopted to test the power distribution system. The results indicate that this optimal algorithm can effectively reduce the interruption cost in the power distribution system and is of fine performances.

关 键 词：配电网 操作簇 改良策略 遗传算法 停电损失费用 网络重构 

分 类 号：TM715[电气工程—电力系统及自动化]