A Stochastic Model for Fast Charging Stations with Energy Storage Systems

Islam Safak Bayram, Muhammad Ismail Muhammad

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

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
PublisherInstitute of Electrical and Electronics Engineers Inc.
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

Publication series

NameITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo

Conference

Conference2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019
CountryUnited States
CityNovi
Period19/6/1921/6/19

Fingerprint

Stochastic models
Energy storage
electric vehicle
energy
demand
Outages
Markov processes
Mathematical operators
Profitability
Quality of service
profit
customer
resources
performance
Plug-in electric vehicles

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Transportation
  • Automotive Engineering

Cite this

Bayram, I. S., & Muhammad, M. I. (2019). A Stochastic Model for Fast Charging Stations with Energy Storage Systems. In ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo [8790570] (ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC.2019.8790570

A Stochastic Model for Fast Charging Stations with Energy Storage Systems. / Bayram, Islam Safak; Muhammad, Muhammad Ismail.

ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo. Institute of Electrical and Electronics Engineers Inc., 2019. 8790570 (ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo).

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

Bayram, IS & Muhammad, MI 2019, A Stochastic Model for Fast Charging Stations with Energy Storage Systems. in ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo., 8790570, ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019, Novi, United States, 19/6/19. https://doi.org/10.1109/ITEC.2019.8790570
Bayram IS, Muhammad MI. A Stochastic Model for Fast Charging Stations with Energy Storage Systems. In ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo. Institute of Electrical and Electronics Engineers Inc. 2019. 8790570. (ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo). https://doi.org/10.1109/ITEC.2019.8790570
Bayram, Islam Safak ; Muhammad, Muhammad Ismail. / A Stochastic Model for Fast Charging Stations with Energy Storage Systems. ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo. Institute of Electrical and Electronics Engineers Inc., 2019. (ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo).
@inproceedings{82c6a869950f49c68f596f4dc59a7d69,
title = "A Stochastic Model for Fast Charging Stations with Energy Storage Systems",
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.",
author = "Bayram, {Islam Safak} and Muhammad, {Muhammad Ismail}",
year = "2019",
month = "6",
day = "1",
doi = "10.1109/ITEC.2019.8790570",
language = "English",
series = "ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo",

}

TY - GEN

T1 - A Stochastic Model for Fast Charging Stations with Energy Storage Systems

AU - Bayram, Islam Safak

AU - Muhammad, Muhammad Ismail

PY - 2019/6/1

Y1 - 2019/6/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85071319470&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071319470&partnerID=8YFLogxK

U2 - 10.1109/ITEC.2019.8790570

DO - 10.1109/ITEC.2019.8790570

M3 - Conference contribution

AN - SCOPUS:85071319470

T3 - ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo

BT - ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo

PB - Institute of Electrical and Electronics Engineers Inc.

ER -