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  • 标题:Coordinating EV Charging and Dynamic CVR in a LV Network: A UK Case Study
  • 本地全文:下载
  • 作者:Hani Gharavi ; Gareth McLorn ; Xueqin Liu
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:10
  • 页码:193-198
  • DOI:10.1016/j.ifacol.2018.06.261
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe high cost associated with installing new infrastructure to meet the increasing demand in the electricity network, particularly in the context of supporting the increasing deployment of low carbon technologies, such as electric vehicles and rooftop solar PV systems, presents distribution network operators with many challenges. This paper explores the potential for coordinating Conservation Voltage Reduction (CVR) and Electric Vehicle Demand Control (EVDC) on distribution networks to reduce overall energy consumption. The study is conducted using a detailed OpenDSS simulation of a low voltage network in the greater Manchester area in the UK under time-varying load conditions representative of a winter weekday. Matlab is employed as a wrapper program to run the optimization, which is performed using uses Particle Swarm Optimisation, while OpenDSS is used for power flow simulation. The results show that energy savings of 4.2% are possible for the scenario considered.
  • 关键词:KeywordsEV demand controlCVR implementationenergy consumption optimisation
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