Optimal real-time distributed V2G and G2V management of electric vehicles

Title: Optimal real-time distributed V2G and G2V management of electric vehicles
Creator: Stüdli, Sonja; Crisostomi, Emanuele; Middleton, Richard; Shorten, Robert
Relation: International Journal of Control Vol. 87, Issue 6, p. 1153-1162
Publisher Link: http://dx.doi.org/10.1080/00207179.2013.868930
Publisher: Taylor & Francis
Resource Type: journal article
Date: 2014
Description: This paper exploits the analogy between the electrical grid and modern communication networks to implement Electric Vehicle (EV) battery charging scheduling algorithms inspired by popular communication network techniques. In preliminary works, a similar approach was used to manage the Grid-to-Vehicle (G2V) active power flows. In this paper, we extend this framework to both implement the Vehicle-to-Grid (V2G) concept and to provide reactive power compensation capabilities that do not affect charging times. The ability of the proposed algorithms to optimally share the available/desired power in a fair way, with minimum communication requirements, in a very uncertain, dynamically changing framework, is illustrated through several examples for different scenarios of interest.
Subject: EV charging; distributed algorithms; AIMD
Identifier: http://hdl.handle.net/1959.13/1301180
Identifier: uon:20232
Identifier: ISSN:0020-7179
Language: eng
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