• DocumentCode
    1526714
  • Title

    Smart maps streamline distribution design

  • Author

    Rajakanthan, T. ; Meyer, A.S. ; Dwolatzky, B.

  • Author_Institution
    Univ. of the Witwatersrand, Johannesburg, South Africa
  • Volume
    11
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    48
  • Lastpage
    53
  • Abstract
    The need for low-cost electrification to uplift the living standards of the community is a major concern in developing countries. In South Africa, the majority of the population is without electricity and, in many instances, lives in informal settlements. Major strides are underway to supply electricity to these people in a short period of time. Designing low-cost and effective electrification schemes manually requires skilled manpower and is time consuming. The more time that is spent on achieving the most cost-effective design the higher the design costs. To address this problem, a research group at the University of Witwatersrand is developing an integrated set of software tools called Automated Software for Electrical Distribution (ASED). For manual computer-based distribution design, a township map in the form of a CAD file must be available at the start of the project. However, any tool aimed at automated facilities design requires an “intelligent” map, which implies a nongraphic database linked to the CAD file. The database provides appropriate information about the features represented on the map. An intelligent map enables the optimization software to perceive features on a map in the same way as a human would perceive them. Creating an intelligent map manually would be a time consuming task, defeating the purpose of the time saved by the optimization routines. This article provides an overview of ASED with focus on the module for rapidly creating an intelligent map from CAD, GIS, hardcopy, or aerial photographic sources
  • Keywords
    artificial intelligence; distribution networks; geographic information systems; power system CAD; power system planning; Automated Software for Electrical Distribution; CAD file; GIS; South Africa; Witwatersrand University; aerial photographic sources; developing countries; distribution design; hardcopy; intelligent map; low-cost electrification; manual computer-based distribution design; nongraphic database; optimization software; smart maps; software tools; township map; Africa; Costs; Design automation; Distributed computing; Geographic Information Systems; Humans; Power cables; Software tools; Spatial databases; Standards development;
  • fLanguage
    English
  • Journal_Title
    Computer Applications in Power, IEEE
  • Publisher
    ieee
  • ISSN
    0895-0156
  • Type

    jour

  • DOI
    10.1109/67.648500
  • Filename
    648500