• DocumentCode
    2462261
  • Title

    Economic Load Dispatch of Hydroelectric Plant Using a Hybrid Particle Swarm Optimization Combined Simulation Annealing Algorithm

  • Author

    Wang, Yongqiang ; Zhou, Jianzhong ; Xiao, Wen ; Zhang, Yongchuan

  • Author_Institution
    Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    231
  • Lastpage
    234
  • Abstract
    A hybrid particle swarm optimization combined simulated annealing method (HPSAO) is proposed to solve economic load dispatch in this paper. The Simulated annealing (SA) algorithm is used to help PSO jump out the local optimum. Furthermore, a feasibility-based rule is introduced to deal with the constraints. Finally, HPSAO is tested on Three Gorges hydroelectric plant. The results are analyzed and compared with other methods, which show the feasibility and effectiveness of the HPSAO method in terms of solution quality and computation time.
  • Keywords
    hydroelectric power stations; particle swarm optimisation; power generation dispatch; power generation economics; simulated annealing; Three Gorges hydroelectric plant; economic load dispatch; feasibility-based rule; hybrid particle swarm optimization; simulation annealing algorithm; Biological system modeling; Economics; Load modeling; Particle swarm optimization; Power systems; Simulated annealing; PSO; SA; economic dispatch; global optimal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.79
  • Filename
    5709257