Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow

Akanksha Shukla; Kusum Verma; Rajesh Kumar

doi:10.1109/IICPE.2018.8709563

Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow

Akanksha Shukla
, Kusum Verma
, Rajesh Kumar

Malaviya National Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Promotion of Electric Vehicles (EVs) over conventional vehicles due to environmental concern calls for the optimal location and sizing of Fast Charging Stations (FCS) to facilitate the large-scale EV deployment. EV FCS couple future transportation networks and power systems. That is EV driving and charging behavior will influence both the networks. This paper proposes optimal location and sizing of FCS which ensures maximal capture of EV flow and reduced investment cost by minimizing the number of charging facilities required in the FCS. A battery capacity constrained EV flow capturing location model to maximize the EV traffic flow is proposed. Further queuing analysis based waiting time constrained sizing model is proposed to minimize the number of charging facilities in an FCS. This is a Mixed Integer Nonlinear Programming (MINLP) problem solved by the two variants of Particle Swarm Optimization (PSO) technique. The simulation is conducted on a case study consisting of 123-bus distribution system and a 25-node traffic network system to illustrate the proposed planning method. The impact of different load models of FCS for power flow analysis on the distribution system is also studied.

Original language	English
Title of host publication	8th IEEE India International Conference on Power Electronics, IICPE 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538649961
DOIs	https://doi.org/10.1109/IICPE.2018.8709563
Publication status	Published - 2 Jul 2018
Externally published	Yes
Event	8th IEEE India International Conference on Power Electronics, IICPE 2018 - Jaipur, India Duration: 13 Dec 2018 → 15 Dec 2018

Publication series

Name	India International Conference on Power Electronics, IICPE
Volume	2018-December
ISSN (Print)	2160-3162
ISSN (Electronic)	2160-3170

Conference

Conference	8th IEEE India International Conference on Power Electronics, IICPE 2018
Country/Territory	India
City	Jaipur
Period	13/12/18 → 15/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Distribution system
Electric Vehicle (EV)
Fast Charging Stations (FCS)
Queuing theory
Traffic flow

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IICPE.2018.8709563

Cite this

Shukla, A., Verma, K., & Kumar, R. (2018). Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow. In 8th IEEE India International Conference on Power Electronics, IICPE 2018 Article 8709563 (India International Conference on Power Electronics, IICPE; Vol. 2018-December). IEEE Computer Society. https://doi.org/10.1109/IICPE.2018.8709563

@inproceedings{d5892b85086643779e3bce059888ab82,

title = "Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow",

abstract = "Promotion of Electric Vehicles (EVs) over conventional vehicles due to environmental concern calls for the optimal location and sizing of Fast Charging Stations (FCS) to facilitate the large-scale EV deployment. EV FCS couple future transportation networks and power systems. That is EV driving and charging behavior will influence both the networks. This paper proposes optimal location and sizing of FCS which ensures maximal capture of EV flow and reduced investment cost by minimizing the number of charging facilities required in the FCS. A battery capacity constrained EV flow capturing location model to maximize the EV traffic flow is proposed. Further queuing analysis based waiting time constrained sizing model is proposed to minimize the number of charging facilities in an FCS. This is a Mixed Integer Nonlinear Programming (MINLP) problem solved by the two variants of Particle Swarm Optimization (PSO) technique. The simulation is conducted on a case study consisting of 123-bus distribution system and a 25-node traffic network system to illustrate the proposed planning method. The impact of different load models of FCS for power flow analysis on the distribution system is also studied.",

keywords = "Distribution system, Electric Vehicle (EV), Fast Charging Stations (FCS), Queuing theory, Traffic flow",

author = "Akanksha Shukla and Kusum Verma and Rajesh Kumar",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE India International Conference on Power Electronics, IICPE 2018 ; Conference date: 13-12-2018 Through 15-12-2018",

year = "2018",

month = jul,

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doi = "10.1109/IICPE.2018.8709563",

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Shukla, A, Verma, K & Kumar, R 2018, Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow. in 8th IEEE India International Conference on Power Electronics, IICPE 2018., 8709563, India International Conference on Power Electronics, IICPE, vol. 2018-December, IEEE Computer Society, 8th IEEE India International Conference on Power Electronics, IICPE 2018, Jaipur, India, 13/12/18. https://doi.org/10.1109/IICPE.2018.8709563

Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow. / Shukla, Akanksha; Verma, Kusum; Kumar, Rajesh.
8th IEEE India International Conference on Power Electronics, IICPE 2018. IEEE Computer Society, 2018. 8709563 (India International Conference on Power Electronics, IICPE; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow

AU - Shukla, Akanksha

AU - Verma, Kusum

AU - Kumar, Rajesh

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Promotion of Electric Vehicles (EVs) over conventional vehicles due to environmental concern calls for the optimal location and sizing of Fast Charging Stations (FCS) to facilitate the large-scale EV deployment. EV FCS couple future transportation networks and power systems. That is EV driving and charging behavior will influence both the networks. This paper proposes optimal location and sizing of FCS which ensures maximal capture of EV flow and reduced investment cost by minimizing the number of charging facilities required in the FCS. A battery capacity constrained EV flow capturing location model to maximize the EV traffic flow is proposed. Further queuing analysis based waiting time constrained sizing model is proposed to minimize the number of charging facilities in an FCS. This is a Mixed Integer Nonlinear Programming (MINLP) problem solved by the two variants of Particle Swarm Optimization (PSO) technique. The simulation is conducted on a case study consisting of 123-bus distribution system and a 25-node traffic network system to illustrate the proposed planning method. The impact of different load models of FCS for power flow analysis on the distribution system is also studied.

AB - Promotion of Electric Vehicles (EVs) over conventional vehicles due to environmental concern calls for the optimal location and sizing of Fast Charging Stations (FCS) to facilitate the large-scale EV deployment. EV FCS couple future transportation networks and power systems. That is EV driving and charging behavior will influence both the networks. This paper proposes optimal location and sizing of FCS which ensures maximal capture of EV flow and reduced investment cost by minimizing the number of charging facilities required in the FCS. A battery capacity constrained EV flow capturing location model to maximize the EV traffic flow is proposed. Further queuing analysis based waiting time constrained sizing model is proposed to minimize the number of charging facilities in an FCS. This is a Mixed Integer Nonlinear Programming (MINLP) problem solved by the two variants of Particle Swarm Optimization (PSO) technique. The simulation is conducted on a case study consisting of 123-bus distribution system and a 25-node traffic network system to illustrate the proposed planning method. The impact of different load models of FCS for power flow analysis on the distribution system is also studied.

KW - Distribution system

KW - Electric Vehicle (EV)

KW - Fast Charging Stations (FCS)

KW - Queuing theory

KW - Traffic flow

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T2 - 8th IEEE India International Conference on Power Electronics, IICPE 2018

Y2 - 13 December 2018 through 15 December 2018

ER -

Planning of Fast Charging Stations in Distribution System Coupled with Transportation Network for Capturing EV flow

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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