• DocumentCode
    765620
  • Title

    Knowledge-based behavior interface: its application to power network restoration support system

  • Author

    Shinohara, Jun-ichi ; Kozakai, Isao ; Kunugi, Masahiko ; Nagata, Jun-ichi ; Saito, Hideki

  • Author_Institution
    Toshiba Corp., Japan
  • Volume
    11
  • Issue
    1
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    383
  • Lastpage
    389
  • Abstract
    The characteristics of power system restoration (its combinational aspects, use of knowledge from a wide variety of origins and of different types and number of criteria to satisfy) make it a difficult problem. As a solution, a number of research teams are considering the use of expert systems to generate restoration plans. Promising results have already been obtained. Yet most expert systems remain in the prototype stage. One reason seems to be that the study of support systems for knowledge-based behavior (unable to describe with any rule) is insufficient. This paper begins by analyzing power system restoration based on the human performance model and discusses knowledge-based behavior as a high conceptual level human performance to solve this problem with combinational aspects. The paper then reports on its applications to the trunk line power network dispatching center. Finally the paper verifies the relation between knowledge-based behavior and designed human interfaces with a power network restoration case-study
  • Keywords
    expert systems; human factors; load dispatching; power system analysis computing; power system restoration; combinational aspects; expert systems; human performance model; knowledge-based behavior interface; power network restoration support system; trunk line power network dispatching center; Application software; Character generation; Expert systems; Humans; Performance analysis; Power generation; Power system planning; Power system reliability; Power system restoration; Prototypes;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.486122
  • Filename
    486122