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采用本质多目标进化算法的舰船电网故障智能恢复决策
引用本文:蒋燕君,姜建国,乔树通. 采用本质多目标进化算法的舰船电网故障智能恢复决策[J]. 中国电机工程学报, 2011, 31(31)
作者姓名:蒋燕君  姜建国  乔树通
作者单位:电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市闵行区,200240
基金项目:国家重点基础研究发展计划项目(973项目)(2009CB219703)~~
摘    要:经典多目标决策方法通过直接或利用层次分析法给定各目标权因子,再进行多目标综合。这种算法存在局限性,如缩放因子或模糊集参数实时调整难、获取最优解效率低等。现有舰船电网故障恢复方法仅给出负荷投切方案,且不考虑舰船线损。在严格定义"支配"、"目标支配"和"约束支配"3个概念的基础上,利用解的非支配关系,提出采用本质多目标进化算法并面向开关的故障智能恢复决策,该方法毋需权因子、缩放因子和模糊集参数,并实现了故障恢复后线损最小,在获得Pareto解集后,再作目标偏好选择,给出最优开关动作序列,提高了获取最优解的效率,解决了多约束条件下解的支配关系判别难题。算例分析证实了该方法可行、有效,且优于经典多目标方法。

关 键 词:故障恢复  网络重构  多目标进化算法  Pareto前沿  舰船电力网络

Intelligent Service Restoration of Shipboard Power Network Using Nature Multiobjective Evolutionary Algorithm
JIANG Yanjun,JIANG Jianguo,QIAO Shutong,Ministry of Education,Minhang District,Shanghai ,China). Intelligent Service Restoration of Shipboard Power Network Using Nature Multiobjective Evolutionary Algorithm[J]. Proceedings of the CSEE, 2011, 31(31)
Authors:JIANG Yanjun  JIANG Jianguo  QIAO Shutong  Ministry of Education  Minhang District  Shanghai   China)
Affiliation:JIANG Yanjun,JIANG Jianguo,QIAO Shutong(Key Laboratory of Control of Power Transmission and Transformation(Shanghai Jiao Tong University),Ministry of Education,Minhang District,Shanghai 200240,China)
Abstract:In the classical multiobjective decision-making method,the multiple objectives are integrated by using their weighting factors given directly or through the analytic hierarchy process(AHP).There are some limitations in adjusting the scaling factors or fuzzy set parameters in real time and in obtaining the optimal solutions efficiently.In the present service restoration methods of shipboard power network,the load switching scheme is only given and the line losses are not being considered.Based on strict defi...
Keywords:service restoration  network reconfiguration  multiobjective evolutionary algorithm  Pareto front  shipboard power network  
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