The active and reactive power dispatch for charging station location impact factors analysis

Cheng Wang, Roderick Dunn, Qingqing Yang, Bo Lian, Weijia Yuan, Jianwei Li

Research output: Contribution to journalConference article

2 Citations (Scopus)
1 Downloads (Pure)

Abstract

With the increasing number of Electric Vehicles (EVs) in modern society, a number of challenges and opportunities are presenting themselves. For example, how to choose charging station locations to minimize the Distribution Network's (DN) power loss when a large number of EVs are connected to the DN. How impact factors, such as different load patterns, EVs' charging locations and network topology, affect charging station location is becoming vital. In this paper a new charging station location methodology informed by impact factor analysis is proposed by using the Active and Reactive Power Dispatch of charging stations in terms of power loss minimization. Results for the 36 DN with three different scenarios are presented. In addition, a more realistic model based on EV's daily travel patterns is built to illustrate how these impact factors affect charging station location. It is demonstrated that the optimal charging station location in terms of power loss minimization can be found by using the new methodology, and it is not affected by the EVs' charging location and load patterns, it is affect by the network topology.

Original languageEnglish
Pages (from-to)237-243
Number of pages7
JournalEnergy Procedia
Volume103
DOIs
Publication statusPublished - 31 Dec 2016
EventApplied Energy Symposium and Submit: Renewable Energy Integration with Mini/Microgrid, REM 2016 - Maldives, Maldives
Duration: 19 Apr 201621 Apr 2016

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Factor analysis
Reactive power
Electric vehicles
Electric power distribution
Topology

Keywords

  • charging stations
  • distribution networks
  • electric vehicle
  • impact factors

Cite this

Wang, Cheng ; Dunn, Roderick ; Yang, Qingqing ; Lian, Bo ; Yuan, Weijia ; Li, Jianwei. / The active and reactive power dispatch for charging station location impact factors analysis. In: Energy Procedia. 2016 ; Vol. 103. pp. 237-243.
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The active and reactive power dispatch for charging station location impact factors analysis. / Wang, Cheng; Dunn, Roderick; Yang, Qingqing; Lian, Bo; Yuan, Weijia; Li, Jianwei.

In: Energy Procedia, Vol. 103, 31.12.2016, p. 237-243.

Research output: Contribution to journalConference article

TY - JOUR

T1 - The active and reactive power dispatch for charging station location impact factors analysis

AU - Wang, Cheng

AU - Dunn, Roderick

AU - Yang, Qingqing

AU - Lian, Bo

AU - Yuan, Weijia

AU - Li, Jianwei

PY - 2016/12/31

Y1 - 2016/12/31

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AB - With the increasing number of Electric Vehicles (EVs) in modern society, a number of challenges and opportunities are presenting themselves. For example, how to choose charging station locations to minimize the Distribution Network's (DN) power loss when a large number of EVs are connected to the DN. How impact factors, such as different load patterns, EVs' charging locations and network topology, affect charging station location is becoming vital. In this paper a new charging station location methodology informed by impact factor analysis is proposed by using the Active and Reactive Power Dispatch of charging stations in terms of power loss minimization. Results for the 36 DN with three different scenarios are presented. In addition, a more realistic model based on EV's daily travel patterns is built to illustrate how these impact factors affect charging station location. It is demonstrated that the optimal charging station location in terms of power loss minimization can be found by using the new methodology, and it is not affected by the EVs' charging location and load patterns, it is affect by the network topology.

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