• DocumentCode
    1167064
  • Title

    A multi-agent technique for contingency constrained optimal power flows

  • Author

    Talukdar, Sarosh ; Ramesh, V.C.

  • Author_Institution
    Eng. Design Res. Center, Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    9
  • Issue
    2
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    855
  • Lastpage
    861
  • Abstract
    This paper does three things. First, it proposes that each critical contingency in a power system be represented by a “correction time” (the time required to eliminate the violations produced by the contingency), rather than by a set of hard constraints. Second, it adds these correction times to an optimal power flow and decomposes the resulting problem into a number of smaller optimization problems. Third, it proposes a multi-agent technique for solving the smaller problems in parallel. The agents encapsulate traditional optimization algorithms as well as a new algorithm, called the voyager, that generates starting points for the traditional algorithms. All the agents communicate asynchronously, meaning that they can work in parallel without ever interrupting or delaying one another. The resulting scheme has potential for handling power system contingencies and other difficult global optimization problems
  • Keywords
    load flow; optimisation; parallel processing; power system analysis computing; power system control; power system protection; contingency constrained optimal power flows; correction time; distributed artificial intelligence; global optimization problems; multi-agent technique; optimization problems; parallel processing; power system security; voyager algorithm; Artificial intelligence; Cost function; Delay; Design engineering; Load flow; Parallel processing; Power engineering and energy; Power system security; Power systems; Tin;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.317629
  • Filename
    317629