• DocumentCode
    257544
  • Title

    Review of optimization techniques for Renewable Energy Resources

  • Author

    Momoh, James A. ; Surender Reddy, S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Howard Univ., Washington, DC, USA
  • fYear
    2014
  • fDate
    24-26 July 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a review of optimization techniques for Renewable Energy Resources (RERs) optimization framework. Review of probabilistic power flow, voltage/VAR control, modeling of voltage VAR problem has been presented. Various objective functions and formulations for Voltage/VAR problem has been presented in this paper. Summary of different OPF methods and their formulations for voltage / VAR problem has been presented. Various examples of stochastic programming using Recourse model, Simple Average Approximations, Chance Constrained Programming and chance constraint are presented in this paper.
  • Keywords
    optimisation; probability; renewable energy sources; VAR control; chance constrained programming; probabilistic power flow; recourse model; renewable energy resources; simple average approximations; stochastic programming; voltage control; Linear programming; Load flow; Optimization; Programming; Reactive power; Stochastic processes; Voltage control; Renewable Energy Resources (RER); Stochastic Programming; Voltage/ VAR problem; Wind Energy Resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Machines for Wind and Water Applications (PEMWA), 2014 IEEE Symposium
  • Conference_Location
    Milwaukee, WI
  • Print_ISBN
    978-1-4799-5137-6
  • Type

    conf

  • DOI
    10.1109/PEMWA.2014.6912225
  • Filename
    6912225