4.5 Article

Impact of Large-Scale Mobile Electric Vehicle Charging in Smart Grids: A Reliability Perspective

期刊

FRONTIERS IN ENERGY RESEARCH
卷 9, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fenrg.2021.688034

关键词

electric vehicle integration; electricity system reliability; transportation network; distributed generation; electric vehicle charging service reliability

资金

  1. National Natural Science Foundation of China [51807127, 52111530067]
  2. Sichuan Science and Technology Program [2020YFSY0037]

向作者/读者索取更多资源

This study aims to assess the comprehensive impacts of spatial-temporal EV charging on the system from the perspectives of electricity system reliability and EV charging service reliability. It proposes a comprehensive reliability index system and introduces a charging load model that considers traffic constraints and users' charging willingness. The study analyzes reliability impacts from various factors and discusses the maximum system reliability when the EV capacity ratio to DG capacity is 3:1.
The charging load of electric vehicles (EVs) is characterized by uncertainty and flexibility, which burdens the distribution network, especially when there is a high penetration of distributed generation (DG) in smart grids. Large-scale EV mobility integration not only affects smart grid operation reliability but also the reliability of EV charging services. This paper aims at estimating the comprehensive impacts caused by spatial-temporal EV charging from the perspective of both electricity system reliability and EV charging service reliability. First, a comprehensive reliability index system, including two novel indexes quantifying EV charging service reliability, is proposed. Then, considering traffic constraints and users' charging willingness, a spatial-temporal charging load model is introduced. In the coupled transportation and grid framework, the reliability impacts from plenty of operation factors are analyzed. Moreover, the electricity system reliability and EV charging service reliability correlated with DG integration are discussed. A coupled transportation grid system is adopted to demonstrate the effectiveness and practicability of the proposed method. The numerical results analyze reliability impacts from EV penetration level, trip chain, EV battery capacity, DG installation location, and capacity. The proposed studies reveal that when the EV capacity ratio to DG capacity is 3:1, the system reliability reaches the maximum level.

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