DocumentCode
3514002
Title
Optimal Conductor Size Selection in Radial Power Distribution Systems Using Evolutionary Strategies
Author
Mendoza, Franklin ; Requena, Durlym ; Bernal-Agustin, J.L. ; Domínguez-Navarro, Jose A.
Author_Institution
Dept. of Electr. Eng., Universidad Nacional Exp. Politecnica
fYear
2006
fDate
15-18 Aug. 2006
Firstpage
1
Lastpage
5
Abstract
This paper presents the application of a heuristic method, called evolutionary strategy (ES), to select optimal size of feeders in radial power distribution systems. ES incorporates biologically inspired structures and operators such as recombination, mutation and fitness based selection. ES prove to be successful when compared with other iterative methods on most problems. In this paper, the posed optimization problem consists in select a conductor type for each feeder of radial power distribution systems. The optimization procedure is subject to some technical constraints, which are the Kirchhoff´s current law constraints for all the nodes, the capacity constraints for the feeders and substations, and the voltage drop constraints. As a case study, the proposed method is applied to radial power distribution systems with satisfactory results
Keywords
conductors (electric); evolutionary computation; optimisation; power distribution lines; Kirchhoff´s current law; evolutionary strategies; feeders; heuristic method; iterative methods; optimal conductor size selection; radial power distribution systems; substations; voltage drop constraints; Conductors; Cost function; Genetic mutations; Linear programming; Power distribution; Power system planning; Power system reliability; Strategic planning; Substations; Voltage; Evolutionary Strategies; Optimal Conductor Size; Power Distribution Systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission & Distribution Conference and Exposition: Latin America, 2006. TDC '06. IEEE/PES
Conference_Location
Caracas
Print_ISBN
1-4244-0287-5
Electronic_ISBN
1-4244-0288-3
Type
conf
DOI
10.1109/TDCLA.2006.311451
Filename
4104682
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