• DocumentCode
    3666029
  • Title

    Heuristic optimization for wind energy integrated optimal power flow

  • Author

    Wenlei Bai;Ibrahim Eke;Kwang Y. Lee

  • Author_Institution
    Electrical and Computer Engineering, Baylor University, Waco, Texas 76798, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wind energy has been playing a critical role in modern electric power system due to the fact that wind is free of cost and environment-friendly. However the inherent intermittency of wind has complicated system operation such as optimal power flow (OPF). In this paper, the authors present a stochastic OPF model integrated with wind power (WOPF). Since WOPF is a highly non-linear and non-convex problem, a heuristic method, artificial bee colony (ABC), is utilized to handle the problem. Heuristic methods are credited for their simplicity to solve complicated non-linear optimization problem without approximating the system and the ability to find better global optimum. Two IEEE systems (30 and 118 bus) are used to test the validity and effectiveness of the method.
  • Keywords
    "Wind power generation","Generators","Wind speed","Load flow","Optimization","Fuels","Linear programming"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286509
  • Filename
    7286509