摘要
提出一种基于遗传算法和启发式算法的方法来解决多目标配电网重构问题。应用模糊数学中隶属函数对多目标分别进行建模,并评估重构效果。利用同胚图将重构求解空间分解为若干个子空间。所提方法结合了遗传算法全局搜索能力和启发式算法高效的子空间求解能力。一个典型的三馈线系统在不同负荷条件下重构结果,验证了所提方法是实用有效的。
This paper presents a multi-objective method for reconfiguration of distribution network, which is based on Genetic Algorithm （GA） and Heuristics Algorithm. Membership function in fuzzy mathematics field is employed to model the multi-objective respectively, and evaluate the effect of network reconfiguration. The solution space of network reconfiguration is divided into several subspaces using homeomorphism graph. The proposed method could incorporate GA＇s efficient ability in searching globe space into Heuristics Algorithm＇s excellent ability in solving the subspaces problem. A typical three-feeder system is reconfigured under different load conditions and results show that the proposed method is feasible and effective
出处
《浙江电力》
2006年第4期1-5,共5页
Zhejiang Electric Power
关键词
重构
遗传算法
启发式规则
隶属函数
reconfiguration
genetic algorithm
heuristics algorithm
membership function
