• DocumentCode
    329865
  • Title

    Intelligent distributed control of power plants

  • Author

    Lee, Kwang Y.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    11-14 Nov 1997
  • Firstpage
    66
  • Abstract
    An Intelligent Distributed Controls Research Laboratory (IDCRL) was developed for the NSF Combined Research and Curriculum Development project, power plant intelligent distributed control. New graduate courses on: (1) power plant dynamics and control; and (2) power plant intelligent distributed control were developed. The capstone power plant intelligent distributed control course covered advanced subjects and laboratory experiments developed in the research portion of the project including: (1) extensions to achieve real-time performance of large scale power plant simulations using Unix network programming; (2) distributed implementation of advanced controller programming in an architecture of workstations and microprocessor-based controllers; and (3) intelligent controls using fuzzy logic, neural networks and genetic algorithms. Along with the curriculum development update, a summary of significant research activities is presented in order to provide a complete overview of the results of the projects
  • Keywords
    power station control; Unix network programming; capstone course; controller programming; curriculum development; fuzzy logic; genetic algorithms; graduate courses; intelligent distributed control; microprocessor control; neural networks; power engineering; power plants; real-time simulation performance; research activities; workstations;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management, 1997. APSCOM-97. Fourth International Conference on (Conf. Publ. No. 450)
  • Print_ISBN
    0-85296-912-0
  • Type

    conf

  • DOI
    10.1049/cp:19971806
  • Filename
    726845