Decentralized Charging Control for Large Populations of Plug-in Electric Vehicles: Application of the Nash Certainty Equivalence Principle
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.
Decentralized control, Nash certainty equivalence (NCE) principle, plug-in electric vehicles (PEVs), ‘valley-fill’ charging control
Ma, Zhongjing, Duncan Callaway, and Ian Hiskens. “Decentralized Charging Control for Large Populations of Plug-in Electric Vehicles: Application of the Nash Certainty Equivalence Principle.” 2010 IEEE International Conference on Control Applications, September 2010, 191–95. https://doi.org/10.1109/CCA.2010.5611184. CSS10-19.