Optimization Framework for Peer-to-Peer Charging of Electric Vehicles in Multi-area Distribution Networks

Nand K. Meena; Jin Yang

doi:10.1109/ISGTEurope.2019.8905531

Optimization Framework for Peer-to-Peer Charging of Electric Vehicles in Multi-area Distribution Networks

Nand K. Meena, Jin Yang

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

In this article, a new optimization framework is introduced to facilitate peer-to-peer (P2P) electric vehicles (EVs) charging in different power distribution networks (PDNs) of the city. A concept of multi-area PDN is projected to optimize the EV charging while improving the performance of multiple PDNs simultaneously. Objectives of the model are to minimize system power loss and node voltage deviation by exploiting charging points, in multiple distribution systems, of different areas simultaneously. For real-life scenario, the proposed approach is implemented on eight PDNs, modeled based on available geographic information. To solve this optimization problem, an improved genetic algorithm is adopted. The effectiveness of proposed model is demonstrated by comparing the performance of these PDNs in different EV charging strategies.

Original language	English
Title of host publication	Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-5386-8218-0
ISBN (Print)	978-1-5386-8219-7
DOIs	https://doi.org/10.1109/ISGTEurope.2019.8905531
Publication status	Published - 21 Nov 2019
Event	2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) - Bucharest, Romania Duration: 29 Sept 2019 → 2 Oct 2019

Conference

Conference	2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
Country/Territory	Romania
City	Bucharest
Period	29/09/19 → 2/10/19

Keywords

Distribution systems
electric vehicles
geographic information system
multi-area
optimization
peer-to-peer

Access to Document

10.1109/ISGTEurope.2019.8905531

Cite this

@inproceedings{d58ad83424f54f49af0d76221871b4d1,

title = "Optimization Framework for Peer-to-Peer Charging of Electric Vehicles in Multi-area Distribution Networks",

abstract = "In this article, a new optimization framework is introduced to facilitate peer-to-peer (P2P) electric vehicles (EVs) charging in different power distribution networks (PDNs) of the city. A concept of multi-area PDN is projected to optimize the EV charging while improving the performance of multiple PDNs simultaneously. Objectives of the model are to minimize system power loss and node voltage deviation by exploiting charging points, in multiple distribution systems, of different areas simultaneously. For real-life scenario, the proposed approach is implemented on eight PDNs, modeled based on available geographic information. To solve this optimization problem, an improved genetic algorithm is adopted. The effectiveness of proposed model is demonstrated by comparing the performance of these PDNs in different EV charging strategies.",

keywords = "Distribution systems, electric vehicles, geographic information system, multi-area, optimization, peer-to-peer",

author = "Meena, {Nand K.} and Jin Yang",

year = "2019",

month = nov,

day = "21",

doi = "10.1109/ISGTEurope.2019.8905531",

language = "English",

isbn = "978-1-5386-8219-7",

booktitle = "Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019",

publisher = "IEEE",

address = "United States",

note = "2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) ; Conference date: 29-09-2019 Through 02-10-2019",

}

Meena, NK & Yang, J 2019, Optimization Framework for Peer-to-Peer Charging of Electric Vehicles in Multi-area Distribution Networks. in Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019., 8905531, IEEE, 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, 29/09/19. https://doi.org/10.1109/ISGTEurope.2019.8905531

TY - GEN

T1 - Optimization Framework for Peer-to-Peer Charging of Electric Vehicles in Multi-area Distribution Networks

AU - Meena, Nand K.

AU - Yang, Jin

PY - 2019/11/21

Y1 - 2019/11/21

N2 - In this article, a new optimization framework is introduced to facilitate peer-to-peer (P2P) electric vehicles (EVs) charging in different power distribution networks (PDNs) of the city. A concept of multi-area PDN is projected to optimize the EV charging while improving the performance of multiple PDNs simultaneously. Objectives of the model are to minimize system power loss and node voltage deviation by exploiting charging points, in multiple distribution systems, of different areas simultaneously. For real-life scenario, the proposed approach is implemented on eight PDNs, modeled based on available geographic information. To solve this optimization problem, an improved genetic algorithm is adopted. The effectiveness of proposed model is demonstrated by comparing the performance of these PDNs in different EV charging strategies.

AB - In this article, a new optimization framework is introduced to facilitate peer-to-peer (P2P) electric vehicles (EVs) charging in different power distribution networks (PDNs) of the city. A concept of multi-area PDN is projected to optimize the EV charging while improving the performance of multiple PDNs simultaneously. Objectives of the model are to minimize system power loss and node voltage deviation by exploiting charging points, in multiple distribution systems, of different areas simultaneously. For real-life scenario, the proposed approach is implemented on eight PDNs, modeled based on available geographic information. To solve this optimization problem, an improved genetic algorithm is adopted. The effectiveness of proposed model is demonstrated by comparing the performance of these PDNs in different EV charging strategies.

KW - Distribution systems

KW - electric vehicles

KW - geographic information system

KW - multi-area

KW - optimization

KW - peer-to-peer

UR - https://ieeexplore.ieee.org/document/8905531

UR - http://www.scopus.com/inward/record.url?scp=85075853524&partnerID=8YFLogxK

U2 - 10.1109/ISGTEurope.2019.8905531

DO - 10.1109/ISGTEurope.2019.8905531

M3 - Conference publication

SN - 978-1-5386-8219-7

BT - Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019

PB - IEEE

T2 - 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

Y2 - 29 September 2019 through 2 October 2019

ER -

Optimization Framework for Peer-to-Peer Charging of Electric Vehicles in Multi-area Distribution Networks

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this