The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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A Study to Determine the Optimized Location for Fast Electric Vehicle Charging Station Considering Charging Demand in Seoul

서울시 전기차 충전수요를 고려한 급속충전소의 최적입지 선정 연구

  • Ji gyu, Kim (Dept. of Transportation Eng. & Smart City, Univ. of Seoul) ;
  • Dong min, Lee (Dept. of Transportation Eng. & Smart City, Univ. of Seoul) ;
  • Su hwan, Kim (Dept. of Smart City, Univ. of Seoul)
  • 김지규 (서울시립대학교 교통공학&스마트시티학과) ;
  • 이동민 (서울시립대학교 교통공학&스마트시티학과) ;
  • 김수환 (서울시립대학교 스마트시티학과)
  • Received : 2022.09.02
  • Accepted : 2022.11.27
  • Published : 2022.12.31
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Abstract

Even though demand to charge EV(electric vehicles) is increasing, there are some problems to construct EV charging stations and problems from deficient them. Typical problem of EV charging stations is discordance for EV charging station location with its demand. This study investigates methods to determine the optimized location for fast EV charging stations considering charging demand in Seoul. Firstly, variables influencing on determination of determine the optimized location for fast EV charging stations were decided, and then evaluation of weights of the variables and data collection were conducted. Using the weights, location potential scores for each area-cell were calculated and optimized locations for fast EV charging stations were resulted.

최근 다양한 전기차 판매와 향상된 서비스는 전기차 이용량을 급격히 증가시켰고, 이에 따라 전기차 충전수요가 증가하고 있다. 하지만 전기차 충전소는 부족하고 충전서비스가 필요한 위치와 설치·운영되고 있는 충전소의 위치에 차이가 있어 충전서비스의 효율성이 낮은 실정이다. 이에 본 연구에서는 이용자의 충전수요를 고려한 전기차 급속충전소의 최적입지를 선정하는 방법을 개발하였다. 충전수요를 고려할 수 있는 변수를 도출하고 데이터를 수집하였으며, AHP설문을 통해 각 변수의 가중치를 구하여 셀(cell)별로 가중평균된 입지잠재력점수를 산정하여 서울시 전역의 전기차 충전수요를 고려한 충전소의 최적입지를 도출하였다.

Keywords

Acknowledgement

이 논문은 국토교통부의 「스마트시티 혁신인재육성사업('19-'23)」 으로 지원되었습니다.

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