Abstract
Transformer is an essential device in power systems. Winding deformation due to short circuit is one of the faults that require serious attention. Model based approaches for winding deformation detection have attracted researchers widely. This paper aims at determination of distributed parameters of the lumped element model of a transformer winding using particle swarm intelligence. A specially designed layer winding model is used to carry out the frequency response experiment. Difference between the simulated frequency response and experimental frequency response is defined as the fitness function that is minimized using particle swarm optimization technique.
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Acknowledgments
The authors are very much thankful to the authorities of Annamalai University for their constant encouragement in conducting the research work.
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Arivamudhan, M., Santhi, S. (2013). Model Based Approach for Fault Detection in Power Transformers Using Particle Swarm Intelligence. In: Malathi, R., Krishnan, J. (eds) Recent Advancements in System Modelling Applications. Lecture Notes in Electrical Engineering, vol 188. Springer, India. https://doi.org/10.1007/978-81-322-1035-1_25
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DOI: https://doi.org/10.1007/978-81-322-1035-1_25
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