articleIEEE Transactions on Control Systems TechnologyNov 17, 2011Closed access

Decentralized Charging Control of Large Populations of Plug-in Electric Vehicles

Beijing Institute of Technology · University of California, Berkeley · +1 more institution

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Abstract

This paper develops a strategy to coordinate the charging of autonomous plug-in electric vehicles (PEVs) using concepts from non-cooperative games. The foundation of the paper is a model that assumes PEVs are cost-minimizing and weakly coupled via a common electricity price. At a Nash equilibrium, each PEV reacts optimally with respect to a commonly observed charging trajectory that is the average of all PEV strategies. This average is given by the solution of a fixed point problem in the limit of infinite population size. The ideal solution minimizes electricity generation costs by scheduling PEV demand to fill the overnight non-PEV demand “valley”. The paper's central theoretical result is a proof of the…

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982
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Authors

3

Topics & keywords

Keywords
  • Nash equilibrium
  • Mathematical optimization
  • Convergence (economics)
  • Scheduling (production processes)
  • Limit (mathematics)
  • Electricity
  • Population
  • Optimal control
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