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Power Transformer Protection Based on Fuzzy Logic System

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Emerging Electronics and Automation

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 937))

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Abstract

The power transformer requires continuous monitoring along with fast protection, as it is important, essential, and even expensive equipment for the power system. Various methods are being used to protection of this electrical equipment. The most commonly used technique for the protection of the transformer is percentage differential logic, as it can easily provide discrimination between its operating conditions and different internal faults. Unfortunately, few operating conditions of power transformer significantly influence the differential logic behavior, so the stability of power system is also affected. Here, it has been proposed to develop an algorithm which enhances the protection of power transformer by using fuzzy logic system and Clarke’s transformation. Using MATLAB software, a modeling of electrical system was done to simulate the fault situations along with operational conditions required to test the algorithm being developed.

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Author information

Authors and Affiliations

  1. Electrical & Electronics Department, SOET, Sandip University, Nashik, India

    Vijay Kumar Sahu & Yogesh Pahariya

Authors
  1. Vijay Kumar Sahu
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  2. Yogesh Pahariya
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Corresponding author

Correspondence to Vijay Kumar Sahu .

Editor information

Editors and Affiliations

  1. Auckland University of Technology, Auckland, New Zealand

    Peter Han Joo Chong

  2. School of Engineering and Science, Victoria University, Melbourne, VIC, Australia

    Akhtar Kalam

  3. Institute for Systems and Robotics, Lisbon, Portugal

    Antonio Pascoal

  4. Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, India

    Manas Kumar Bera

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sahu, V.K., Pahariya, Y. (2022). Power Transformer Protection Based on Fuzzy Logic System. In: Chong, P.H.J., Kalam, A., Pascoal, A., Bera, M.K. (eds) Emerging Electronics and Automation. Lecture Notes in Electrical Engineering, vol 937. Springer, Singapore. https://doi.org/10.1007/978-981-19-4300-3_16

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  • DOI: https://doi.org/10.1007/978-981-19-4300-3_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-4299-0

  • Online ISBN: 978-981-19-4300-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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