• DocumentCode
    3356515
  • Title

    Optimal Electric Energy Production scheduling for Thermal-Hydro Electric Power Systems

  • Author

    Wu Jiekang

  • Author_Institution
    Sch. of Electr. Eng., Guangxi Univ., Nanning
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A method for optimal electric energy production of thermal-hydro power systems is presented in this paper. The electric energy produced by hydroelectric plants and coal-fired plants is divided into 4 components: potential energy, kinetic energy, water-deep pressure energy and reservoir energy. A new and important concept, reservoir energy, is proposed, based on which is divided into a number of water bodies, for example 3 water bodies, and a reservoir is analyzed in a new way. This paper presents a optimal scheduling solution of electric energy production of thermal-hydro power systems based on multi-factors analytic method, in which some important factors, such as load demand, reservoir in-flow, water-consumed volume increment rate of hydroelectric plants or converted from coal-fired plants, and so on are given to model the objective function and the constraints. A study example with three simulation cases is carried out to illustrate flexibility, adaptability, applicability of the proposed method.
  • Keywords
    hydroelectric power stations; hydrothermal power systems; power generation scheduling; reservoirs; coal-fired plant; multifactors analytic method; optimal electric energy production scheduling; reservoir energy; reservoir in-flow; thermal-hydro electric power system; water-deep pressure energy; Kinetic energy; Optimal scheduling; Potential energy; Power system modeling; Power system simulation; Power systems; Production systems; Reservoirs; Thermal factors; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918567
  • Filename
    4918567