Multi-objective optimal strategies for power system restoration with support from electric vehicles

被引：0
作者：
Liu, Weijia [1 ]
Lin, Zhenzhi [1 ]
Wen, Fushuan [1 ,2 ]
Xue, Yusheng [3 ]
机构：
[1] School of Electrical Engineering, Zhejiang University, Hangzhou
[2] Department of Electrical & Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan
[3] NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2015年 / 39卷 / 20期
基金：
中国国家自然科学基金;
关键词：
Electric vehicle; Genetic algorithm; Multi-objective optimization; Network reconfiguration; Power system restoration;
D O I：
10.7500/AEPS20150415002
中图分类号：
学科分类号：
摘要：
Power system restoration is facing new challenges and opportunities in the past few years, as the increasing renewable energy sources and active loads such as electric vehicles are being integrated into the power system. On the other hand, existing research has not yet paid much attention to the impacts of dispatchable electric vehicles in the process of power system restoration. A multi-objective optimization model for developing system restoration schemes considering the support from electric vehicles is presented. The possible functions of electric vehicle charging/swapping stations in supporting power system restoration are discussed first. Then, a multi-objective optimization model is formulated with three objectives, i.e., minimizing the number of restored transmission lines, minimizing the outage durations of the non-black-start generating units and important loads, minimizing the voltage deviations of the restored power network. Finally, the IEEE 30-bus test system is employed to demonstrate the established multi-objective optimization model, and the impacts of electric vehicle charging/swapping stations on power system restoration strategies are discussed in detail. © 2015 Automation of Electric Power Systems Press.
引用
收藏
页码：32 / 40
页数：8
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