DocumentCode :
1233630
Title :
Large-Scale Distribution Planning—Part II: Macro-Optimization With Voronoi´s Diagram And Tabu Search
Author :
Navarro, Alejandro ; Rudnick, Hugh
Author_Institution :
Electr. Eng. Dept., Pontificia Unversidad Catolica de Chile, Santiago
Volume :
24
Issue :
2
fYear :
2009
fDate :
5/1/2009 12:00:00 AM
Firstpage :
752
Lastpage :
758
Abstract :
This paper is the second of two and presents a planning methodology for low-voltage distribution network planning. Combined optimization of transformers and associated networks is applied, considering the street layout which connects the different consumers. In the first section, a planning zone division into smaller mini-zones is performed; the smaller zones are optimized independently. This second section develops macro-optimization methodologies that use the results and techniques of the previous stage, which allow performing a global analysis of the planning zone. Three methodologies are proposed, one based on Voronoi polygons to obtain irregular mini-zones that incorporate proximity between consumers. Another is based on network recombination, with the purpose of finding potential savings produced by combining neighboring networks. Lastly, the sequential application of Voronoi polygons and network recombination is performed. The methodology is applied to a zone having 20 215 consumers distributed in an area of 12.9 km2 , corresponding to a district in the city of Santiago, Chile, to subsequently apply this to the entire city, an area having a surface of 2118 km2 and approximately 1300 000 customers.
Keywords :
computational geometry; optimisation; power distribution planning; search problems; Chile; Santiago city; Voronoi diagram; Voronoi polygons; large-scale distribution planning; macrooptimization methodologies; network recombination; planning zone global analysis; tabu search; Low voltage; Voronoi; network planning; power distribution planning; tabu search;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2009.2016594
Filename :
4813187
Link To Document :
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