• DocumentCode
    1337980
  • Title

    Wide area control for improving stability of a power system with plug-in electric vehicles

  • Author

    MITRA, PINAKI ; Venayagamoorthy, Ganesh K.

  • Author_Institution
    Real-Time Power & Intell. Syst. (RTPIS) Lab., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • Volume
    4
  • Issue
    10
  • fYear
    2010
  • fDate
    10/1/2010 12:00:00 AM
  • Firstpage
    1151
  • Lastpage
    1163
  • Abstract
    The integration of plug-in electric vehicles (PEVs) to power systems has impacts on the stability characteristics of the integrated systems. Wide area controllers (WACs) are used in power systems to provide auxiliary control signals to the generators or other devices in order to improve the stability of the system. The necessity of WACs becomes more relevant during grid-to-vehicle (G2V) or vehicle-to-grid (V2G) power transactions, that is, charging and discharging cycles of the PEVs respectively. The design of a WAC for providing damping to three generators in a 12-bus power system with PEVs is presented in this study. Each WAC signal is obtained based on the aggregation of modulated local and remote power system stabilisers´ signals. The modulation indices associated with those signals are tuned using the particle swarm optimisation technique to provide the maximum damping to the three generators. The 12-bus power system with the PEVs and WAC has been implemented on the real-time digital simulator (RTDS). Typical results have been presented to show the improvement in the stability of the power system when PEVs are integrated using transient simulations and Prony analysis.
  • Keywords
    damping; electric vehicles; particle swarm optimisation; power system stability; Prony analysis; auxiliary control signals; damping control signals; local power system stabiliser; particle swarm optimisation technique; plug-in electric vehicles; power system stability improvement; real-time digital simulator; vehicle-to-grid power transactions; wide area controllers;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2009.0505
  • Filename
    5587757