• DocumentCode
    3156598
  • Title

    Research on latin hypercube random simulation of optional operation of complex hydropower stations

  • Author

    Zhou, Ran ; Yang, Kan

  • Author_Institution
    Coll. of Water Resources & Environ., Hohai Univ., Nanjing, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    6751
  • Lastpage
    6754
  • Abstract
    The hydrological forecast error inevitably leads to the uncertainty of reservoir inflow, so the optimal operation of reservoirs group is also uncertain. This paper presents a method which combines the random simulation with the optimal operation of reservoirs group. The random simulation uses the method of Latin hypercube sampling to improve Monte Carlo method, which reduces the sampling frequency and improves the sampling accuracy compared with traditional sampling method. Ant colony algorithm is found application for solving the optimal operation problem of reservoirs group. According to the method presented we can obtain the scheduling scheme of reservoirs group under a given risk rate. At the same time the method changes the decision-making of stochastic operation into that of determinable operation. The study case of giant hydropower stations in Hubei Province shows that the method is practical.
  • Keywords
    Monte Carlo methods; decision making; hydroelectric power stations; optimisation; power generation scheduling; reservoirs; stochastic processes; Hubei Province; Monte Carlo method; ant colony algorithm; complex hydropower stations; hydrological forecast error; latin hypercube random simulation; latin hypercube sampling; reservoir inflow uncertainty; sampling frequency method; scheduling scheme; stochastic operation decision making; Floods; Hypercubes; Monte Carlo methods; Reservoirs; Sampling methods; Uncertainty; Ant colony algorithm; Latin hypercube sampling; optimal operation of reservoirs group;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6009678
  • Filename
    6009678