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  • 标题:Research on load modelling of new infrastructure of power system-a case study of electric vehicle
  • 本地全文:下载
  • 作者:Shuqiang Yang ; Wenyi Fan ; Yang Zhao
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:233
  • 页码:1022
  • DOI:10.1051/e3sconf/202123301022
  • 出版社:EDP Sciences
  • 摘要:The continuous rapid development of new infrastructure load represented by electric vehicles (EVs) has brought new opportunities and challenges to the power system, as well as new propositions for traditional power system load modelling. It is of great practical significance to study the planning and operation of power systems considering EVs and other new infrastructure loads. Based on the analysis of the real historical data of EVs, this paper proposes an EV load modelling method based on the charging power scenario model. Based on the key variables of EV charging, the proposed model considers the joint distribution model of the uncertainty and correlation of the key variables of EV charging. Power scenarios are aggregated to obtain the EV load curve. Finally, the actual EV charging power data is used to verify the effectiveness of the proposed method.
  • 其他摘要:The continuous rapid development of new infrastructure load represented by electric vehicles (EVs) has brought new opportunities and challenges to the power system, as well as new propositions for traditional power system load modelling. It is of great practical significance to study the planning and operation of power systems considering EVs and other new infrastructure loads. Based on the analysis of the real historical data of EVs, this paper proposes an EV load modelling method based on the charging power scenario model. Based on the key variables of EV charging, the proposed model considers the joint distribution model of the uncertainty and correlation of the key variables of EV charging. Power scenarios are aggregated to obtain the EV load curve. Finally, the actual EV charging power data is used to verify the effectiveness of the proposed method.
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