Title :
Decentralized loading coordinations for large-population plug-in electric vehicles and a few controllable bulk loads
Author :
Yin, Xiaokun ; Ma, Zhongjing ; Dong, Lei
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol. (BIT), Beijing, China
Abstract :
This paper studies the loading coordinations for large-population autonomous individual (plug-in) electric vehicles (EVs) and a few controllable bulk loads, e.g. EV fleets, pumped storage hydro units, and so on. Due to the computational infeasibility of the centralized coordination methods to the underlying large-population systems, in this paper we develop a novel game-based decentralized coordination strategy. Following the proposed decentralized strategy update mechanism and under some mild conditions, the system may quickly converge to a nearly valley-fill Nash equilibrium. The results are illustrated with numerical examples.
Keywords :
decentralised control; electric vehicles; game theory; controllable bulk load; decentralized loading coordination; game-based decentralized coordination strategy; large-population autonomous individual electric vehicle; large-population plug-in electric vehicle; valley-fill Nash equilibrium; Cost function; Electricity; Games; Loading; Nash equilibrium; Routing; Trajectory; (Plug-in) electric vehicles; Loading coordination; Nash equilibrium (NE); Valley-fill;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6161037