摘要
基于电池租赁的换电池模式与大规模集中型充电站配合具有商业竞争潜力,有望得到推广。在此背景下,提出了一种计及电动汽车充电站的网架重构优化策略。首先,对充电站可用电池容量建模,得到针对给定系统停电时刻充电站可提供的启动容量。建立了基于双层优化的网架重构模型,在上层模型中,以最大化系统可用发电容量为目标确定发电机组恢复时刻;在下层模型中,以线路充电电容之和最小为目标确定恢复路径。之后,采用机会约束规划处理相关的不确定性因素,并与双层优化模型相结合构建基于机会约束规划的双层网架重构优化模型,进而采用改进的粒子群算法求解该优化问题。最后,以修改的新英格兰10机39节点系统为例说明了所发展的模型与方法的基本特征。
Supported by large-scale centralized charging stations of electric vehicles (EVs),the battery swapping mode with battery leasing is a commercially competitive way for the development of EVs. Given this background, a network reconfiguration strategy taking the EV charging stations into account is presented.First,the capacity provided by the batteries in an EV charging station is modeled,and thus the capacity for restarting the non-black-start units can be obtained whenever a power outage occurs.Then,a bi-level optimization based model for the network reconfiguration is proposed.In the upper-level optimization model,the recovery time of a generating unit is determined by maximizing the restored generation capacity,while in the lower-level the restoration path is optimized by minimizing the charging capacitance of the recovered lines.A chance-constrained programming method is employed to address the risks arising from uncertain factors during the system restoration, and then a bi-level optimization model for the network reconfiguration based on chance-constrained programming is presented. An improved particle swarm optimization algorithm is employed to solve the model developed.Finally,a modified New England 10-unit 39-bus power system is employed to demonstrate the basic characteristics of the model and method developed.
出处
《电力系统自动化》
EI
CSCD
北大核心
2015年第14期75-81 104,104,共8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(51177145
51377005)
国网浙江省电力公司科技项目(5211DF13500M)~~
关键词
电力系统恢复
电动汽车
充电站
机会约束规划
双层优化
power system restoration
electric vehicle
charging stations
chance-constrained programming
bi-level optimization
