• DocumentCode
    1776694
  • Title

    Multi-agent control system to coordinate optimal electric vehicles charging and demand response actions in active distribution networks

  • Author

    Mocci, S. ; Natale, N. ; Pilo, F. ; Ruggeri, S.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
  • fYear
    2014
  • fDate
    24-25 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Management models enabling the coordination of Active Demand and new additional loads, such us plug-in electric vehicles, with the objective of supporting the network performance under the constraints of the grid security and quality of supply, are essential to make the distribution system capable to offer services for power system operation. In the paper, an intelligent and decentralized Multi-Agent System for handling electric vehicles charging control and Active Demand programs management in the LV distribution networks is proposed. The optimization algorithm proposed allows designing valid and effective demand response and electric vehicles charging system, able to analyse and meet the vehicle charging needs to contribute to the voltage control of the distribution network. Application examples are presented in order to illustrate the algorithm effectiveness.
  • Keywords
    demand side management; electric vehicles; multi-agent systems; optimisation; power distribution control; voltage control; LV distribution networks; active demand programs management; demand response; distribution system; electric vehicles charging control; grid security; management models; multi-agent system; network performance; optimization algorithm; plug-in electric vehicles; power system operation; supply quality; voltage control; Active Demand; Electric Vehicle; Multi-Agent Systems;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2014), 3rd
  • Conference_Location
    Naples
  • Type

    conf

  • DOI
    10.1049/cp.2014.0841
  • Filename
    6993234