| 引用本文: | 杜习超,刘永民,徐则诚,李甜甜,黄景慧,贾鹏,刘万勋,殷奕恒,胡钋.电动汽车随机负荷建模及对配电网节点电压分布的影响[J].电力自动化设备,2018,(6): |
| DU Xichao,LIU Yongmin,XU Zecheng,LI Tiantian,HUANG Jinghui,JIA Peng,LIU Wanxun,YIN Yiheng,HU Po.Modeling of random load of electric vehicle and its influence on node voltage distribution of distribution network[J].Electric Power Automation Equipment,2018,(6): |
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| 摘要: |
| 根据车辆调查数据，在合理的假设条件下考虑影响充电负荷模型的主要随机特性的概率分布，建立了3种充电方式的概率负荷模型。对IEEE 33节点系统加入时变特性，提出了3种充电方式以不同渗透率比例接入配电网时对负荷曲线及节点电压影响的计算方法。计算结果表明，不同充电方式接入比例的不同，会使得配电网的动态概率特性相差很大，常规充电方式对电网稳定性影响最大；更换电池方式可以减少负荷的峰谷差，降低节点电压越限的概率，有利于电网的高效、安全运行。 |
| 关键词: 电动汽车 充电方式 蒙特卡洛模拟 动态概率特性 |
| DOI：10.16081/j.issn.1006-6047.2018.06.018 |
| 分类号:U469.72;TM712 |
| 基金项目:国家高技术研究发展计划(863计划)资助项目(2015AA050101) |
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| Modeling of random load of electric vehicle and its influence on node voltage distribution of distribution network |
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DU Xichao1, LIU Yongmin1, XU Zecheng2, LI Tiantian1, HUANG Jinghui1, JIA Peng1, LIU Wanxun1, YIN Yiheng1, HU Po2
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1.Economic and Technical Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450000, China;2.School of Electrical Engineering, Wuhan University, Wuhan 430072, China
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| Abstract: |
| Based on the vehicle survey data and considering the probability distribution of the main stochastic characteristics of the charging load model under reasonable assumptions, three probabilistic load models for charging modes are established. Joining the time-varying characteristic to the IEEE 33-bus system, the calculation method of the influence on load curves and node voltage under three charging modes connecting to distribution network with different penetration rates is proposed. The calculation results show that the different charging modes accessing under the different proportion can make the dynamic probability characteristics vary greatly, and the traditional charging mode has the greatest impact on the stability of power grid; the battery replacement can reduce the valley-to-peak of load, reduce the out-of-limit probability of the node voltage, and is conducive to the efficient and safe operation. |
| Key words: electric vehicles charging modes Monte Carlo simulation dynamic probability characteristics |
