• DocumentCode
    1938064
  • Title

    Economic Dispatch incorporating wind power plant using Particle Swarm Optimization

  • Author

    Dozein, Mehdi Ghazavi ; Ansari, Javad ; Kalantar, Mohsen

  • Author_Institution
    Centre of Excellence for Power Syst. Autom. & Oper., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    6-8 March 2012
  • Firstpage
    178
  • Lastpage
    182
  • Abstract
    This paper presents a new approach for Economic Dispatch (ED) problems incorporating wind power plant using Particle Swarm Optimization (PSO) method. As Wind Power Plant increase in power systems, its effects to conventional units should be analyzed. Also the total cost is dependent on wind speed in specific period of time. Therefore, the mathematical techniques are not appropriate to find the global optimum ED. In this paper, PSO is proposed to deal with wind power plants in ED. To show efficiency of wind power plant in reducing total cost, different simulation scenarios with and without wind power production are simulated.
  • Keywords
    particle swarm optimisation; power generation dispatch; power generation economics; wind power plants; ED problem; PSO method; economic dispatch; global optimum ED; mathematical techniques; particle swarm optimization; power systems; wind power plant; wind speed; Cost function; Economics; Generators; Particle swarm optimization; Power systems; Wind power generation; Wind speed; Economic Dispatch; Nonsmooth Cost Function; Particle Swarm Optimization; Weibull Probability Density Function; Wind Power Plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy and Distributed Generation (ICREDG), 2012 Second Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4673-0663-8
  • Electronic_ISBN
    978-1-4673-0664-5
  • Type

    conf

  • DOI
    10.1109/ICREDG.2012.6190458
  • Filename
    6190458