• DocumentCode
    1395311
  • Title

    Alleviation of Power Fluctuation in Interconnected Power Systems With Wind Farm by SMES With Optimal Coil Size

  • Author

    Saejia, M. ; Ngamroo, I.

  • Author_Institution
    Sch. of Electr. Eng., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • Volume
    22
  • Issue
    3
  • fYear
    2012
  • fDate
    6/1/2012 12:00:00 AM
  • Firstpage
    5701504
  • Lastpage
    5701504
  • Abstract
    The large penetration of wind power into interconnected power systems causes the severe power fluctuation in tie-lines. To alleviate power fluctuation, the superconducting magnetic energy storage (SMES) can be applied. Nevertheless, the installation of SMES is quite costly. Especially, the superconducting coil size which is the vital part of SMES, must be carefully specified. This paper proposes a new optimization technique of power controller parameters and coil sizes of multiple SMES units for alleviation of tie-line power fluctuation in interconnected power systems with wind farms. The structure of active and reactive power controllers of SMES is the proportional-integral (PI). Based on the minimization of the variance of tie-line power fluctuation and the initial stored energy of a SMES unit, the optimal PI parameters and coil size can be automatically tuned by a particle swarm optimization. Simulation study in the West Japan interconnected systems confirms that the proposed SMES with optimal coil size is able to effectively and robustly suppress power fluctuation against various wind power patterns and heavy power flow levels.
  • Keywords
    magnetic storage; particle swarm optimisation; power system interconnection; superconducting coils; wind power plants; SMES; interconnected power systems; optimal coil size; optimization technique; power controller parameters; reactive power controllers; superconducting magnetic energy storage; tie-line power fluctuation; tie-lines; wind farm; Coils; Fluctuations; Optimization; Power system stability; Reactive power; Wind farms; Wind power generation; Particle swarm optimization; power fluctuation; superconducting magnetic energy storage; wind power;
  • fLanguage
    English
  • Journal_Title
    Applied Superconductivity, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8223
  • Type

    jour

  • DOI
    10.1109/TASC.2011.2178984
  • Filename
    6099587