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 journalArticlepeer-review

    3 Citations (Scopus)
    19 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 - Dec 2016

    Bibliographical note

    © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

    Keywords

    • Electric vehicle
    • Distribution networks
    • Impact factors
    • Charging stations

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