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
Link To Document