Publicação: Fault location in underground systems using artificial neural networks and PSCAD/EMTDC
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The need for high reliability and environmental concerns are making the underground networks the most appropriate choice of energy distribution. However, like any other system, underground distribution systems are not free of failures. In this context, this work presents an approach to study underground systems using computational tools by integrating the software PSCAD/EMTDC with artificial neural networks to assist fault location in power distribution systems. Targeted benefits include greater accuracy and reduced repair time. The results presented here shows the feasibility of the proposed approach. © 2012 IEEE.
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Computational tools, Energy distributions, Environmental concerns, High reliability, Power distribution system, PSCAD/EMTDC, Underground distribution system, Underground networks, Underground systems, Electric load distribution, Neural networks
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Inglês
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INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 423-427.
