引用本文:杨秀菊,白晓清,李佩杰,韦 化.电动汽车规模化接入配电网的充电优化[J].电力自动化设备,2015,35(6):
YANG Xiuju,BAI Xiaoqing,LI Peijie,WEI Hua.Charging optimization of massive electric vehicles in distribution network[J].Electric Power Automation Equipment,2015,35(6):
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电动汽车规模化接入配电网的充电优化
杨秀菊, 白晓清, 李佩杰, 韦 化
广西大学 广西电力系统最优化与节能技术重点实验室,广西 南宁 530004
摘要:
将配变台区下的电动汽车看成一个小型“集聚体”,提出基于配电网安全运行的充电优化问题模型,该模型以有功网损最小为目标函数,计及节点电压、线路潮流、配变容量、集中式充电功率的动态爬升约束以及充电能量平衡约束,优化慢充模式下“集聚体”的充电功率。分区代理商负责监控所管辖台区下每辆汽车的充电行为。采用原-对偶内点法求解该模型,IEEE 33节点系统、PG&E 69系统以及一个实际的119节点配电系统的计算结果表明该算法具有良好的收敛性和优化效果。通过动态平衡充电负荷,有效降低了系统网损,平抑了负荷波动,改善了末端电压水平,且避免了随机充电在某些时段可能造成的短时电压质量下降、馈线重载及配变过载等问题,提高了配电网运行的经济性和安全性。
关键词:  配电  电动汽车  充电负荷  优化  原-对偶内点法
DOI:
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基金项目:国家重点基础研究发展计划(973计划)资助项目(2013CB228205);国家自然科学基金资助项目(51167001)
Charging optimization of massive electric vehicles in distribution network
YANG Xiuju, BAI Xiaoqing, LI Peijie, WEI Hua
Guangxi Key Laboratory of Power System Optimization and Energy Technology,Guangxi University,Nanning 530004,China
Abstract:
An EVs(Electric Vehicles) charging optimization model based on the safe operation of distribution network is proposed,which takes the EVs in a distribution transformer district as a small “assembly”,the minimum power loss as its objective and the node voltage,line power flow,distribution transformer capacity,charging power increase and charging energy balance as its constraints to optimize the charging power of the“assembly” in the slow charging mode. The district service provider is responsible for the supervision of EV charging behaviour. The primal-dual interior point method is adopted to solve the model. The calculative results of IEEE 33-bus system,PG&E 69 system and an actual 119-bus system show the excellent convergency and optimization effect of the algorithm. The dynamically balanced charging power effectively reduces the network loss,smoothes the load fluctuation,improves the terminal voltage level,avoids the short-term voltage quality decline,feeder heavy load and distribution transformer overload,and improves the economy and security of distribution network operation.
Key words:  electric power distribution  electric vehicles  charging load  optimization  primal-dual interior point method

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