Title :
Distribution Network Reconfiguration Using Genetic Algorithms With Sequential Encoding: Subtractive and Additive Approaches
Author :
de Macedo Braz, H.D. ; De Souza, Benemar Alencar
Author_Institution :
Companhia Hidreletrica do Sao Francisco, Recife, Brazil
fDate :
5/1/2011 12:00:00 AM
Abstract :
This paper deals with radial distribution network reconfiguration for loss and switching mitigation. Its main contribution is the presentation of a genetic algorithm (GA) with two network encodings, capable of representing only radial connected solutions without demanding a planar topology or any specific genetic operator. The code was named sequential because the evaluation of the ith gene depends on the information forthcoming from all the previous genes. In addition to a full description of proposed techniques with examples, the paper presents a survey of existing network codifications including their search space and chromosomes for a 33-bus example system. In order to validate the proposed algorithms, these and other two techniques in the state of the art are applied to reconfigure three sample systems which have been broadly published in the technical literature. Performance is assessed by using the results of implemented representations and the reconfiguration literature.
Keywords :
distribution networks; genetic algorithms; genetic algorithms; network encodings; planar topology; radial distribution network reconfiguration; sequential encoding; Biological cells; Encoding; Genetics; Mathematical model; Network topology; Substations; Topology; Additive sequential encoding; codification strategies; distribution network reconfiguration; genetic algorithms; spanning trees; subtractive sequential encoding;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2010.2059051