DocumentCode
973045
Title
A heuristic algorithm for electric distribution networks optimal feeder configuration using geographic information system
Author
Yehia, Mounir A. ; Matar, Elie E. ; Hobeila, Nicolas Y. ; Avedikian, Ara D.
Author_Institution
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
Volume
17
Issue
4
fYear
2002
fDate
11/1/2002 12:00:00 AM
Firstpage
1232
Lastpage
1237
Abstract
This paper provides a new algorithm for the optimization of distribution networks feeder configuration. The algorithm starts analysis from high-voltage/medium-votage (HV/MV) substations with all loads MV/low-voltage (MV/LV) substations being disconnected, and picks up loads that result in minimal incremental losses. Optimality is always ensured by checking on relationships correlating currents and paths using the concept of dynamic programming, and performing configuration changes whenever required. The algorithm relies on the comparison of the incremental losses brought by the addition of each and every load to the network. Quadratic and linear relationships between load currents and paths form the basis of the decisions made for the connections. The algorithm is illustrated with the help of a detailed numerical example. The geographic information systems software, ArcView, was used as the developing tool.
Keywords
dynamic programming; geographic information systems; power distribution planning; power system CAD; substations; ArcView software; HV/MV substations; configuration changes; distribution networks optimal feeder configuration; dynamic programming; geographic information system; heuristic algorithm; linear relationships; minimal incremental losses; quadratic relationships; Algorithm design and analysis; Associate members; Dynamic programming; Geographic Information Systems; Heuristic algorithms; Load flow; Partitioning algorithms; Software systems; Substations; Switches;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2002.805027
Filename
1137617
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