• DocumentCode
    939266
  • Title

    Artificial intelligence approach to load allocation in distribution substations

  • Author

    Wong, K.P. ; Cheung, H.N.

  • Author_Institution
    University of Western Australia, Department of Electrical and Electronic Engineering, Perth, Australia
  • Volume
    134
  • Issue
    5
  • fYear
    1987
  • fDate
    9/1/1987 12:00:00 AM
  • Firstpage
    357
  • Lastpage
    365
  • Abstract
    Based on the set theory and the Prolog programming language, the paper develops methods by which the allocation of loads to the busbars of distribution substations may be determined automatically. Starting from the initial possible allocation of loads to the substation busbar sections, a formulation for load allocation is first developed using set theory. The `generate evaluate and test¿¿ technique and the depth-first search method are then applied to the solution-seeking process. The formulation is implemented and recursive search procedures are derived using the Prolog language. The Prolog software aid developed includes a complete solution generator from which all hypothetical solutions are generated, an evaluator which prunes invalid solutions, and a tester which produces feasible solutions by checking the load allocation constraints related to the firm capacity of the distribution substations. An application of the methods developed is given for two 11 kV interconnected substations which include 5 busbar sections and 10 ring loads.
  • Keywords
    artificial intelligence; distribution networks; load regulation; power system computer control; set theory; substations; 11 kV; PROLOG programming language; artificial intelligence; busbars; depth-first search method; distribution substations; interconnected substations; load allocation; recursive search procedures; ring loads; set theory; solution generator;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings C
  • Publisher
    iet
  • ISSN
    0143-7046
  • Type

    jour

  • DOI
    10.1049/ip-c.1987.0059
  • Filename
    4647218