电网技术2013，Vol.37Issue(3)：814-820,7.
电力系统大停电后机组恢复的多目标优化方法
A Multi-Objective Optimization Method for Post-Blackout Unit Restoration
摘要
Abstract
Most post-blackout unit restoration strategies are based on single-objective optimization and factors influencing the starting sequence of units are neglected.A multi-objective optimization strategy for post-blackout unit restoration is proposed and a multi-objective optimization model for unit restoration,in which following items are taken as optimization objectives:the generating capacity of restored units should be as much as possible,the restored units should be distributed in the network frame level as possible and the restored units are favorable to the restoration of important loads and follow-up units to be restored in power plant level,is built.Firstly,the restoration process is divided into a series of restoration steps to be executed sequentially; secondly,the optimization of each restoration step is turned into multi-objective 0/1 knapsack problem and combining with the shortest path method the restoration paths for unit restoration scheme are searched,and then the restoration paths are solved by.fast and elitist non-dominated sorting genetic algorithm and classic Dijkstra algorithm is employed to select restoration paths; finally,the Pareto optimal solutions are sorted to determine the optimal solution.The effectiveness of the proposed method is verified by simulation results of New England 10-machine 39-bus system.关键词
电力系统恢复/黑启动/机组恢复优化/多目标优化/遗传算法Key words
power system restoration/ black start/ unit restoration optimization/ multi-objective optimization/ genetic algorithm分类
信息技术与安全科学引用本文复制引用
朱冬雪,顾雪平,钟慧荣..电力系统大停电后机组恢复的多目标优化方法[J].电网技术,2013,37(3):814-820,7.基金项目
高等学校博士学科点专项科研基金资助课题(20110036110007) （20110036110007）
河北省自然科学基金项目(E2011502025). （E2011502025）
Project Supported by Specialized Research Fund for the Doctoral Program of Higher Education (20110036110007). （20110036110007）
