A simultaneous approach implementing wind-powered electric vehicle charging stations for charging demand dispersion

Yerim Lee, Jin Hur

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Electric vehicle charging demand is highly variable depending on the charging pattern of consumers. If electric vehicle charging time is converged, the charging demand connected to power grids will increase and system instability may be induced. Wind Generating Sources (WGRs) can provide as much of the charging energy as possible. In this paper, we propose a simultaneous approach implementing wind-powered electric vehicle charging stations in order to distribute the charging demand of the electric vehicle with wind generating resources. The Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model is applied to predict hourly wind power outputs. The augmented ARIMAX model is extended from Autoregressive Integrated Moving Average (ARIMA) model by adding exogenous such as a wind speed including grid integration analysis simulation processes. To validate the proposed approach for electric vehicle charging dispersion, we use the empirical data from the Jeju Island's wind farms in South Korea.

Original languageEnglish
Pages (from-to)172-179
Number of pages8
JournalRenewable Energy
Volume144
DOIs
StatePublished - Dec 2019

Keywords

  • Charging demand dispersion
  • EV charging demand
  • Simultaneous approach
  • Wind generating resources
  • Wind power forecasting

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