• DocumentCode
    2684265
  • Title

    Topological observability analysis using heuristic rule based expert system

  • Author

    Jain, Amit ; Balasubramanian, R. ; Tripathy, S.C. ; Kawazoe, Yoshiyuki

  • Author_Institution
    IMR, Tohoku Univ., Sendai
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    This paper presents a novel approach for topological observability analysis using heuristic rule based expert system. The observability problem is split in P-delta observability and Q-V observability by P-delta/Q-V decouple characteristic of power systems. A heuristic rule based expert system is developed for finding the existence of an observable spanning tree for P-delta measurement graph and Q-V measurement graph. This expert system finds the existence of an observable spanning tree in measurement graph on the basis of heuristic rules, directly without making a spanning tree. Inference in this approach is done by the process of chaining through rules until a conclusion about the observability or unobservability is reached. The proposed heuristic rule based expert system has been tested on the standard IEEE 5 bus and 14 bus test systems and an 87 bus real power system, which is a part of Northern grid network of India. Results obtained are presented for illustration
  • Keywords
    expert systems; power engineering computing; power systems; trees (mathematics); 87 bus real power system; India; Northern grid network; expert system; heuristic rule; measurement graph; observable spanning tree; standard IEEE 14 bus test systems; standard IEEE 5 bus test systems; topological observability analysis; Artificial intelligence; Energy management; Expert systems; Observability; Power system analysis computing; Power system measurements; Power systems; State estimation; System testing; Tree graphs; Expert system; heuristic; power systems; rule; spanning tree; state estimation; topological observability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709589
  • Filename
    1709589