摘要
间歇性可再生能源和以电动汽车为代表的主动负荷广泛接入对电力系统恢复问题提出了新的挑战。现有电力系统恢复方面的研究工作尚未系统考虑电动汽车等主动负荷接入所带来的影响。在此背景下,构建了考虑电动汽车作用的多目标系统恢复方案优化模型。首先,以电动汽车充换电站为单位,分析了电动汽车在系统恢复过程中可能提供的辅助作用。其次,结合系统停电恢复需求,提出了恢复线路最少、恢复速度最快和网架电压最均衡3个系统恢复优化目标,构建了计及电动汽车辅助作用的多目标系统恢复方案优化模型。最后,以IEEE 30节点系统为例对所建立的多目标优化模型进行了验证,并分析了电动汽车对优化系统恢复方案的作用和效果。
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.
出处
《电力系统自动化》
EI
CSCD
北大核心
2015年第20期32-40,共9页
Automation of Electric Power Systems
基金
国家重点基础研究发展计划(973计划)资助项目(2013CB228202)
国家自然科学基金资助项目(51361130152
51377005)~~
关键词
电力系统恢复
电动汽车
多目标优化
网架重构
遗传算法
power system restoration
electric vehicle
multi-objective optimization
network reconfiguration
genetic algorithm