• DocumentCode
    735531
  • Title

    Plug-in Electric Vehicle charging approaches: Centralized versus decentralized and strategic versus cooperative

  • Author

    Gonzalez Vaya, Marina ; Andersson, Goran

  • Author_Institution
    Power Syst. Lab., ETH Zurich, Zurich, Switzerland
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Typically, the charging of Plug-in Electric Vehicles (PEVs) can be shifted in time. This flexibility can be used to reduce the cost and/or network impact of charging, and even to provide ancillary services. The focus of this paper is on the use of charging flexibility for cost minimization, either from the perspective of PEVs or from the society´s point of view. Charging control approaches can be classified along two dimensions: a) The decisions can be taken locally by the PEVs (decentralized control) or centrally by an agent, typically called aggregator, (centralized control), b) The decision-making agent(s) (PEVs or aggregator) can take decisions that are socially optimal (cooperative), or can behave strategically, maximizing their own profit. We describe approaches that correspond to the related four possible configurations, and which take the uncertainty in driving patterns and the market-related uncertainty into account. We perform simulations with real market data and realistic driving patterns to compare the different approaches. Results show that the benefit from exploiting charging flexibility is substantial, even if the agents behave cooperatively. Moreover, driving uncertainty has a minor impact on costs compared to market-related uncertainty.
  • Keywords
    battery storage plants; decentralised control; decision making; electric vehicles; power system control; PEV; ancillary services; charging control; charging network; decentralized control; decision-making agent; market-related uncertainty; plug-in electric vehicle charging; Schedules; Plug-in Electric Vehicles; Smart Charging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232260
  • Filename
    7232260