摘要
提出了一种新的用于舰船电力系统的模糊多目标故障恢复模型。在该模型中,不同量纲的目标函数被归一化到[0,1]区间,并且通过层次分析法把这些目标函数整合到一起,同时考虑了负荷和开关的优先级。运用广义负荷支路矩阵法实现了负荷投切替代开关操作的启发式规则,且考虑了发电机容量、支路电流、连通性和辐射状约束。通过运用基于云理论的自适应遗传算法使系统收敛性能得到了较好的改善。一个典型舰船电力系统的仿真结果证实了该模糊多目标模型的有效性和相关特性。
A novel fuzzy multiobjective model is proposed for service restoration of shipboard power systems. In this model, the objective functions of different dimensions are normalized to interval [0, 1], and these objective functions are integrated by using analytic hierarchy process. Meanwhile, the priorities of load and switch are taken into account. The heuristic rule of replacing switch operation with load switching is implemented by using a generalized load-branch matrix method, and generator capacity bound, branch current limit, connectivity and radial configuration constraints are all considered. The convergence performance can be well improved by utilizing a cloud-theory-based adaptive genetic algorithm. Numerical results based on a typical shipboard power system are used to demonstrate the effectiveness and performance of the fuzzy multiobjective model.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第22期108-116,121,共10页
Power System Protection and Control
基金
国家重点基础研究发展计划项目(973项目)(2009CB219703)~~
关键词
故障恢复
舰船电力系统
建模
模糊集
多目标
云理论自适应遗传算法
service restoration： shipboard power system
modeling： fuzzy set
multiobjective
cloud-theory-based adaptive geneticalgorithm （CAGA）
