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文章摘要
电动汽车充电站接入配电网的电能质量评估
Quality assessment of electric vehicle charging stations accessing distribution network
Received:March 04, 2020  Revised:March 17, 2020
DOI:DOI: 10.19753/j.issn1001-1390.2022.06.010
中文关键词: 充电站  电动汽车  电能质量  综合评估  雷达图法
英文关键词: charging station, electric vehicle, power quality, comprehensive evaluation, radar chart method
基金项目:国家重点基础研究发展计划(973计划)
Author NameAffiliationE-mail
Zha Pengcheng* School of Electrical and Automation, Wuhan University zpczpc66@icloud.com 
Gan Yali School of Electrical and Automation, Wuhan University zpczpc66@icloud.com 
Gao Haiyou School of Electrical and Automation, Wuhan University zpczpc66@icloud.com 
Liu Fei School of Electrical and Automation, Wuhan University dyj_lf@163.com 
Zha Xiaoming School of Electrical and Automation, Wuhan University zpczpc66@icloud.com 
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中文摘要:
      随着电动汽车的普及,大规模的充电站接入配电网,评估电动汽车充电过程对配电网电能质量的影响程度是必要的,文章提出了一种对电动汽车充电站进行综合电能质量评估方法。依据充电站接入配电网的场景特征选取合适的电能质量指标建立评估模型,针对主观或客观赋权的单一性,采用层次分析法与熵权法结合,并采用基于最大熵原理的乘法合成法进行综合赋权,同时反映主观判断和指标数据的客观信息,将雷达图的评估方法应用到电能质量评估中,将评估对象图形化,直观地呈现不同时期的电能质量整体劣变程度及各项指标的劣变过程。该方法可以为电能质量的优化治理方案提供决策支持。通过仿真实例的分析,验证了方法的可行性。
英文摘要:
      With the popularization of electric vehicles, a large number of charging stations are connected to the distribution network. It is necessary to evaluate the impact of the charging process on the power quality of the distribution network, a comprehensive power quality assessment method for electric vehicle charging station is proposed in this paper. The appropriate power quality indicators are selected to establish an evaluation model according to the scenario characteristics of charging stations connected to the distribution network. For the unity of subjective and objective weighting, the analytic hierarchy process and the entropy weight method are used to comprehensively weight the power quality indicators, which not only meet the actual needs, but also reflect the objective information of the indicator data. The radar map evaluation method is applied to the power quality assessment, and the evaluation object is graphically analyzed to directly display the deterioration degree of the overall power quality and the deterioration process of each indicators in different periods. This method can provide decision support for power quality optimization scheme. The feasibility of the proposed method is verified by the analysis of simulation examples.
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