DocumentCode :
3651410
Title :
Development of a genetic algorithm for evaluating the performance of overhead power distribution lines and proposing solutions to improve distribution line safety
Author :
Fabio Romero;Alden Antunes;Dário Takahata;André Meffe;Carlos Oliveira;Fernando Lange;Hamilton Souza;Antônio Monteiro
Author_Institution :
DAIMON, Sao Paulo, Brazil
fYear :
2013
fDate :
6/1/2013 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
This paper aims to present and discuss the use of a power flow methodology based on Gauss Elimination Method to evaluate the performance of distribution network taking into account the neutral conductor absence at specific sections, and a development of a methodology based on genetic algorithm (GA) capable of evaluating alternative solutions in different bars of the feeder, in order to propose appropriate solutions to improve the distribution network safety. Besides the technical aspects, the proposed GA methodology takes into account the economic feasibility analysis. The results of power flow simulations have shown that the presence of single-phase transformers along with the absence of the neutral conductor at specific sections of the MV network may increase the neutral-to-ground voltage (Vng) levels of the feeders involved, jeopardizing the systems safety. On the other hand, the solutions proposed by the GA methodology may reduce the network Vng levels and improve the safety conditions, providing values close to the ones found before the neutral conductor theft.
Publisher :
iet
Conference_Titel :
Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
Type :
conf
DOI :
10.1049/cp.2013.0982
Filename :
6683585
Link To Document :
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