Efficient Placement of Fault Indicators in an Actual Distribution System Using Evolutionary Computing
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
12/10/2013
12/10/2013
2012
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| Resumo |
This paper proposes an evolutionary computing strategy to solve the problem of fault indicator (FI) placement in primary distribution feeders. More specifically, a genetic algorithm (GA) is employed to search for an efficient configuration of FIs, located at the best positions on the main feeder of a real-life distribution system. Thus, the problem is modeled as one of optimization, aimed at improving the distribution reliability indices, while, at the same time, finding the least expensive solution. Based on actual data, the results confirm the efficiency of the GA approach to the FI placement problem. Elektro (Brazilian Utility) Elektro (Brazilian Utility) Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico) |
| Identificador |
IEEE TRANSACTIONS ON POWER SYSTEMS, PISCATAWAY, v. 27, n. 4, pp. 1841-1849, NOV, 2012 0885-8950 http://www.producao.usp.br/handle/BDPI/34227 10.1109/TPWRS.2012.2190625 |
| Idioma(s) |
eng |
| Publicador |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC PISCATAWAY |
| Relação |
IEEE TRANSACTIONS ON POWER SYSTEMS |
| Direitos |
restrictedAccess Copyright IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Palavras-Chave | #GENETIC ALGORITHM #POWER DISTRIBUTION #POWER QUALITY AND POWER SYSTEM RESTORATION #RESISTANCE GROUNDED SYSTEMS #ENGINEERING, ELECTRICAL & ELECTRONIC |
| Tipo |
article original article publishedVersion |
