• DocumentCode
    1875992
  • Title

    Study on energy saving generation dispatch based on improved PSO algorithm

  • Author

    Xian Guo ; Haozhong Cheng ; Liangzhong Yao ; Bazargan, Masoud ; Zeliang Ma

  • Author_Institution
    Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    8-9 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Based on principle of energy saving generation dispatch(ESGD), both models considering emission trading and generation rights trading are built. To solve the model and increase global optimization search ability, improved PSO is proposed, with adaptively adjustment in inertial factor and particle correction strategy. Shanghai grid and East China grid are adopted as study case respectively. By programming in C++, generation schedule of coal-fired generators in 24-hour-period is achieved. Finally, the programming results verify feasibility of ESGD models and convergence of algorithm.
  • Keywords
    C++ language; coal; particle swarm optimisation; power engineering computing; power generation dispatch; power grids; C++ programming; East China grid; Shanghai grid; coal-fired generators; emission trading; energy saving generation dispatch; generation rights trading; global optimization search ability; improved PSO algorithm; inertial factor; particle correction strategy; time 24 hour; ESGD; emission trading; generation rights trading; improved PSO algorithm;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
  • Conference_Location
    Hangzhou
  • Electronic_ISBN
    978-1-84919-673-4
  • Type

    conf

  • DOI
    10.1049/cp.2012.1812
  • Filename
    6493131