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含高渗透率光伏发电并网型微网中的电动汽车优化调度方法
引用本文:杨晓东,张有兵,任帅杰,赵波,翁国庆,戚军.含高渗透率光伏发电并网型微网中的电动汽车优化调度方法[J].电力系统自动化,2016,40(18):15-23.
作者姓名:杨晓东  张有兵  任帅杰  赵波  翁国庆  戚军
作者单位:浙江工业大学信息工程学院, 浙江省杭州市 310023,浙江工业大学信息工程学院, 浙江省杭州市 310023,浙江工业大学信息工程学院, 浙江省杭州市 310023,国网浙江省电力公司电力科学研究院, 浙江省杭州市 310014,浙江工业大学信息工程学院, 浙江省杭州市 310023,浙江工业大学信息工程学院, 浙江省杭州市 310023
基金项目:国家自然科学基金资助项目(51407160);浙江省自然科学基金资助项目(LY16E070005)。
摘    要:针对含高渗透率光伏发电的并网型微网,研究了电动汽车与大规模光伏发电协同增效利用的方法,提出一种以提升光伏发电利用率为目的的电动汽车优化调度模型。为避免依托于中央能量管理系统的集中优化,发展了关联电动汽车交互功率与系统负荷信息、光伏出力信息的虚拟费用理论,在此基础上构造了电动汽车集群的非合作充放电博弈模型,并推导出博弈模型纳什均衡与集中式优化模型最优解的一致性,从而以分散自治的方式规避了集中式优化的弊端。在某办公楼区域光储微网的算例分析中,以光伏发电利用率、等年值成本为微网运行性能评价指标,验证了所述电动汽车优化调度方法的合理性、有效性。

关 键 词:电动汽车  光伏发电  并网型微网  虚拟费用  博弈模型
收稿时间:2015/11/2 0:00:00
修稿时间:2016/6/19 0:00:00

Optimal Scheduling Scheme of Electric Vehicles in Grid-connected Microgrid with High Penetration Photovoltaic Power
YANG Xiaodong,ZHANG Youbing,REN Shuaijie,ZHAO Bo,WENG Guoqing and QI Jun.Optimal Scheduling Scheme of Electric Vehicles in Grid-connected Microgrid with High Penetration Photovoltaic Power[J].Automation of Electric Power Systems,2016,40(18):15-23.
Authors:YANG Xiaodong  ZHANG Youbing  REN Shuaijie  ZHAO Bo  WENG Guoqing and QI Jun
Affiliation:College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,State Grid Zhejiang Electric Power Corporation Research Institute, Hangzhou 310014, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China and College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Abstract:A novel method is proposed for grid-connected microgrid system with high penetration photovoltaic(PV)power that integrates large scale PV power and electric vehicles(EVs)efficiently. An optimization model is proposed to increase the self-consumption of PV power by smart charging of EVs and vehicle-to-grid technology. Without relying on the optimization of central control, a virtual cost theory is developed combined with EVs charging, discharging power, the system load and PV power output. On this basis, a non-cooperative charging and discharging(NCD)game model for EVs is proposed, and the consistency between the Nash equilibrium of the proposed model and the centralized optimization solution is also obtained. Hence the centralized optimization with several disadvantages is replaced by a decentralized and autonomous one. Taking a workspace grid-connected PV-battery microgrid as example, the practicality and effectiveness of the proposed optimization model for EVs scheduling are proved by the improved utilization of PV power and equivalent annual cost. This work is supported by National Natural Science Foundation of China(No. 51407160)and Zhejiang Provincial Natural Science Foundation of China(No. LY16E070005).
Keywords:electric vehicles  photovoltaic power generation  grid-connected microgrid  virtual cost  game model
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