A Stochastic Model for Fast Charging Stations with Energy Storage Systems

Islam Safak Bayram, Muhammad Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Abstract

As the number of plug-in electric vehicles (PEVs)increase, the need for public fast-charging stations intensifies. In such facilities, concurrent charging of several vehicles significantly increases demand charges and stress supporting network elements. In this paper, we propose a stochastic fast charging station model which accommodates PEV demand through power drawn from the grid and an on-site energy storage system. The latter is used to lower peak demand and improve grid reliability. The station is modeled by a 2-dimensional Markov chain and the performance is measured by outage probability. The proposed model allows the station operator to optimally provision system resources to provide a good quality of service to customers. Numerical results indicate significant gains in net profit and useful insights can be made with the right choice of storage size.

Original languageEnglish
Title of host publicationITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo
ISBN (Electronic)9781538693100
DOIs
Publication statusPublished - 1 Jun 2019
Event2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019 - Novi, United States
Duration: 19 Jun 201921 Jun 2019

Conference

Conference2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019
CountryUnited States
CityNovi
Period19/06/1921/06/19

Keywords

  • battery powered vehicles
  • battery storage plants
  • energy storage
  • batteries
  • stochastic processes

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