• DocumentCode
    3055125
  • Title

    Optimized production of electric energy

  • Author

    Olcer, S.

  • Author_Institution
    Stanford University, Stanford, CA
  • fYear
    1983
  • fDate
    - Dec. 1983
  • Firstpage
    1415
  • Lastpage
    1416
  • Abstract
    Application of the methods of control theory to industrial problems demands the match of the necessary computational tools to the actual financial constraints. The development of suboptimal control algorithms allows performances that were limited in the past to installations with extensive computer facilities, as required by the theory of mathematical optimization, to be reached now by smaller ones. Advances in this domain lead naturally to a rational utilization of the modern control tools based on mini- and microcomputers. Within this framework, we present in this note a method for the optimal control of electric power plants. The philosophy of the approach is to divide the global problem into partial optimization problems, whose successive solutions give the best working point for the turbinegenerator units in a computationally feasible way. Due to the limited space, only a few salient features of the method are discussed. The method has been successfully applied to the optimization of the production of two electricity companies in Switzerland.
  • Keywords
    Application software; Control theory; Hydroelectric power generation; Information systems; Laboratories; Microcomputers; Optimization methods; Production; Turbines; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1983. The 22nd IEEE Conference on
  • Conference_Location
    San Antonio, TX, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1983.269773
  • Filename
    4047798