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

Wang, Cheng and Dunn, Roderick and Yang, Qingqing and Lian, Bo and Yuan, Weijia and Li, Jianwei (2016) The active and reactive power dispatch for charging station location impact factors analysis. Energy Procedia, 103. pp. 237-243. ISSN 1876-6102 (https://doi.org/10.1016/j.egypro.2016.11.279)

[thumbnail of Wang-etal-EP2016-The-active-and-reactive-power-dispatch-for-charging-station-location]
Preview
Text. Filename: Wang_etal_EP2016_The_active_and_reactive_power_dispatch_for_charging_station_location.pdf
Final Published Version
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo

Download (371kB)| Preview

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.

ORCID iDs

Wang, Cheng, Dunn, Roderick, Yang, Qingqing, Lian, Bo, Yuan, Weijia ORCID logoORCID: https://orcid.org/0000-0002-7953-4704 and Li, Jianwei;