• DocumentCode
    835151
  • Title

    Hydrothermal unit commitment with probabilistic constraints using segmentation method

  • Author

    Tong, S.K. ; Shahidehpour, S.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    5
  • Issue
    1
  • fYear
    1990
  • fDate
    2/1/1990 12:00:00 AM
  • Firstpage
    276
  • Lastpage
    282
  • Abstract
    Hydrothermal unit commitment is studied using a formulation which employs the unit commitment risk as a reliability constraint. This approach provides a rational modeling of the problem by considering the outages of thermal units and the uncertainty of the demand. Thermal unit commitment is optimized by using dynamic programming. The calculation of the expected cost of thermal generation and the evaluation of commitment risk are performed by the segmentation method. For hydrothermal coordination, an expected incremental cost grid of thermal generation is constructed for different levels of hydro generating capacity by introducing a new algorithm which supplements the segmentation method with an efficient shifting technique. The gradient method is then applied to use this grid in the optimal dispatch of hydro units. The global optimization is executed in an iterative loop which consists of the thermal unit commitment and hydrothermal coordination
  • Keywords
    hydroelectric power stations; probability; thermal power stations; dynamic programming; global optimization; hydro generating capacity; hydro units optimal dispatch; hydrothermal unit commitment; iterative loop; probabilistic constraints; segmentation method; thermal unit outages; Character generation; Costs; Demand forecasting; Load forecasting; Optimal scheduling; Power system reliability; Reservoirs; Spinning; Uncertainty; Water resources;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.49117
  • Filename
    49117