Charging Station and Power Network Planning for Integrated Electric Vehicles (EVs)

Guozhong Liu, Li Kang, Zeyu Luan, Jing Qiu and Fenglei Zheng
Additional contact information
Guozhong Liu: School of Electrical Engineering & Intelligentization, Dongguan University of technology, Dongguan 523808, China
Li Kang: School of Electrical Engineering & Intelligentization, Dongguan University of technology, Dongguan 523808, China
Zeyu Luan: School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, Australia
Jing Qiu: School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, Australia
Fenglei Zheng: Dongguan Power Supply Bureau, Dongguan 523808, China

Energies, 2019, vol. 12, issue 13, 1-22

Abstract: The optimal location and size of charging stations are important considerations in relation to the large-scale application of electric vehicles (EVs). In this context, considering that charging stations are both traffic service facilities and common electric facilities, a multi-objective model is built, with the objectives of maximizing the captured traffic flow in traffic networks and minimizing the power loss in distribution networks. There are two kinds of charging stations that are considered in this paper, and the planning of EV charge stations and distribution networks is jointly modelled. The formulated multi-objective optimization problem is handled by a fuzzy membership function. The genetic algorithm (GA) is used to solve the objective function. In case studies, a 33-node distribution system and a 25-node traffic network are used to verify the effectiveness of the proposed model. The location and capacity of two kinds of charging stations are designed in the case studies, after which the impact of the battery on the captured traffic flow is analyzed as well.

Keywords: electrical vehicles; charging station planning; traffic flow; power loss; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/13/2595/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/13/2595/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:13:p:2595-:d:246000

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().