Title :
Decentralized charging control for large populations of plug-in electric vehicles: Application of the Nash certainty equivalence principle
Author :
Ma, Zhongjing ; Callaway, Duncan ; Hiskens, Ian
Author_Institution :
Center for Sustainable Syst. (CSS), Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
The paper develops and illustrates a novel decentralized charging control algorithm for large populations of plug-in electric vehicles (PEVs). The proposed algorithm is an application of the so-called Nash certainty equivalence principle (or mean-field games.) The control scheme seeks to achieve social optimality by establishing a PEV charging schedule that fills the overnight demand valley. The paper discusses implementation issues and computational complexity, and illustrates concepts with various numerical examples.
Keywords :
decentralised control; electric vehicles; game theory; Nash certainty equivalence principle; PEV charging schedule; computational complexity; decentralized charging control; large populations; mean-field games; plug-in electric vehicles; social optimality; Batteries; Convergence; Distributed control; Electricity; Games; Nash equilibrium; System-on-a-chip; ‘valley-fill’ charging control; Decentralized control; Nash certainty equivalence (NCE) principle; plug-in electric vehicles (PEVs);
Conference_Titel :
Control Applications (CCA), 2010 IEEE International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4244-5362-7
Electronic_ISBN :
978-1-4244-5363-4
DOI :
10.1109/CCA.2010.5611184
