电力系统自动化Issue(14)：68-74,7.DOI:10.7500/AEPS20141029008
基于模糊机会约束规划的电力系统网架重构优化
Optimization of Power Network Reconfiguration Based on Fuzzy Chance Constrained Programming
摘要
Abstract
In view of the uncertainty of operating time and recovery reliability of lines put into operation during network reconstruction after blackout,a fuzzy chance constrained model of optimization of power network reconfiguration is proposed based on the fuzzy chance constrained programming theory.Triangular fuzzy variables are used to represent the line”s operating time and recovery reliability,and the recovery reliability index is defined to evaluate the objective network.The target is to ensure that the possibility of a unit”s restoration in its start-up time requirements is no less than a certain level of confidence, and to obtain the optimized network that reaches the highest reliability in a shortest possible time.The fuzzy simulation based cross particle swarm optimization is used to optimize the node restoration sequence,and the Dijkstra algorithm is combined to choose the restoration path.Finally,the effectiveness of the proposed method is validated by an IEEE 30-node system and part of Yunnan power system.关键词
网架重构/操作时间/恢复可靠性/模糊机会约束/模糊模拟Key words
network reconfiguration/operating time/recovery reliability/fuzzy chance constrained/fuzzy simulation引用本文复制引用
张雪丽,梁海平,朱涛,赵川,李文云,顾雪平..基于模糊机会约束规划的电力系统网架重构优化[J].电力系统自动化,2015,(14):68-74,7.基金项目
国家自然科学基金资助项目(51277076)。@@@@ This work is supported by National Natural Science Foundation of China(No.51277076) （51277076）
