Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques

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Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques

This paper proposes a simple and effective evolutionarycomputation-based technique to estimate the equivalentcircuit parameters of a single-phase transformer from its nameplatedata without the need to conduct any experimental measurements.Two techniques, namely: particle swarm optimizationand geneti...

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Bibliographic Details
Main Authors:	Mossad, M., Azab, M., Abu-Siada, Ahmed
Format:	Journal Article
Published:	IEEE Power Engineering Society 2014
Subjects:	particle swarm Genetic algorithm (GA) transformer parameters estimation
Online Access:	http://hdl.handle.net/20.500.11937/17014

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