• DocumentCode
    771555
  • Title

    Stochastic optimization of a hydro-thermal system including network constraints

  • Author

    Gorenstin, B.G. ; Campodonico, N.M. ; Costa, J.P. ; Pereira, M.V.F.

  • Author_Institution
    Centro de Pesquisas de Energia Eletrica, Rio de Janeiro, Brazil
  • Volume
    7
  • Issue
    2
  • fYear
    1992
  • fDate
    5/1/1992 12:00:00 AM
  • Firstpage
    791
  • Lastpage
    797
  • Abstract
    The authors describe a methodology for the optimal scheduling of hydrothermal power systems taking into account multiple hydro reservoir characteristics, inflow stochasticity and a transmission network represented by a linearized power flow model. The solution algorithm is based on stochastic dual dynamic programming, which decomposes the multistage problem into several one-stage subproblems. Each subproblem corresponds to a linearized optimal power flow with additional constraints representing the hydro reservoir equations and a piecewise linear approximation of the expected future cost function. Each subproblem is solved by a customized network flow/dual Simplex algorithm which takes advantage of the network characteristics of the hydro reservoirs and of the transmission system. The application of the methodology is illustrated in a case study with a Brazilian system comprising 44 hydroplants, 11 thermal plants, 463 buses, and 834 circuits
  • Keywords
    approximation theory; dynamic programming; hydroelectric power stations; load flow; optimal control; piecewise-linear techniques; power system control; scheduling; stochastic processes; thermal power stations; transmission networks; Brazil; Simplex algorithm; buses; cost function; hydro reservoir; hydroelectric power station; hydrothermal power systems; inflow stochasticity; load flow; optimal scheduling; optimisation; piecewise linear approximation; power flow; stochastic dual dynamic programming; thermal power stations; transmission network; Dynamic programming; Equations; Load flow; Optimal scheduling; Piecewise linear approximation; Power system dynamics; Power system modeling; Reservoirs; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.141787
  • Filename
    141787