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Mitigation and Analysis of Very Fast Transient over Voltages (VFTOs) of Transformer in 1000 KV Gas-Insulated Substation (GIS) Using Wavelet Transform

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Proceeding of International Conference on Intelligent Communication, Control and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 479))

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Abstract

Mitigation and analysis of very fast transient over voltages (VFTO) is very important in gas-insulated substations (GIS). In this paper a power transformer rating of 1500 MVA in 1000 kV GIS has been considered and different techniques for mitigation and analysis of VFTOs at the transformer are applied and the same results are analyzed by the application of discrete wavelet transform (DWT) as wavelet transform gives the accurate results. The proposed system has been designed with Mat Lab software platform and the system is simulated to evaluate the peak values of VFTOs generated at the both at transformer and open end of the transformer with and without RC filter, ferrite ring, and a nonocrystilline. The results show that the peak value of VFTOs can be considerably reduced by introducing RC filter ferrite ring and nano crystalline methods. The outcomes are explored to wavelet transform for transient information. By the application of wavelet transform it has concluded that an exact measurement VFTOs can be obtained and is shown in the results.

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Acknowledgments

I would like to express my gratitude to my Ph.D. guide, Prof. Dr M Surya Kalavathi madam garu, who encouraged me to pursue this work and taught me the art of VFT over voltages in GISs. It is my pleasure to acknowledge role of my co-author D. Prabhavathi in completion of this work.

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Correspondence to D. Prabhavathi .

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Prakasam, K., Surya Kalavathi, M., Prabhavathi, D. (2017). Mitigation and Analysis of Very Fast Transient over Voltages (VFTOs) of Transformer in 1000 KV Gas-Insulated Substation (GIS) Using Wavelet Transform. In: Singh, R., Choudhury, S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices . Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-10-1708-7_8

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  • DOI: https://doi.org/10.1007/978-981-10-1708-7_8

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