• DocumentCode
    3443259
  • Title

    An expert system for power generation scheduling

  • Author

    Osaka, Susumu ; Amano, Masahiko ; Kawakami, Junzo

  • Author_Institution
    Tokyo Electr. Power Co. Inc., Tokyo, Japan
  • fYear
    1988
  • fDate
    25-27 May 1988
  • Firstpage
    557
  • Lastpage
    562
  • Abstract
    A prototype of an expert system is presented which assists planners in making power generation schedules. The system takes advantage of knowledge engineering to overcome some drawbacks of conventional methods. Since the scheduling problem is too large to solve, it is divided into several subscheduling problems. To solve the subscheduling problems efficiently, the system adopts heuristic solution methods in addition to mathematical programming methods. The architecture of the system allows easy changes and additions of constraints, planning strategies, and heuristic and numerical solution methods, ensuring a flexible scheduling environment. The system effectiveness is verified using several sets of small-scale model data.<>
  • Keywords
    expert systems; knowledge engineering; mathematical programming; power system planning; scheduling; expert system; heuristic solution methods; knowledge engineering; mathematical programming; power generation scheduling; Expert systems; Job shop scheduling; Mathematical programming; Power generation; Power generation economics; Power generation planning; Power system planning; Processor scheduling; Prototypes; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
  • Conference_Location
    Hitachi City, Japan
  • Type

    conf

  • DOI
    10.1109/AIIA.1988.13347
  • Filename
    13347