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Investigation on the Application of Fuzzy Logic Controller in Unified Power Flow Controller (UPFC)

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Intelligent Techniques and Applications in Science and Technology (ICIMSAT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 12))

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Abstract

The Unified Power Flow Controller (UPFC) is the adjustable flexible ac transmission system (FACTS) controller that can control the three parameters i.e. Impedance, Voltage and Phase angle of transmission line simultaneously or individually in appropriate combination. This paper presents an investigation on the current research and on the application of fuzzy logic controller in Unified Power Flow Controller (UPFC). A comparative study is also carried out which highlight the different aspects of control strategy of UPFC.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, Aizawl, India

    Lalhungliana & Saibal Chatterjee

  2. Department of Electrical Engineering, JIS College of Engineering, Kalyani, West Bengal, India

    Bidhan Malakar

Authors
  1. Lalhungliana
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  2. Bidhan Malakar
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  3. Saibal Chatterjee
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Corresponding author

Correspondence to Bidhan Malakar .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Siliguri Institute of Technology, Sukna, West Bengal, India

    Subhojit Dawn

  2. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Psychology and IIASS, Università della Campania “Luigi Vanvitelli”, Caserta, Caserta, Italy

    Anna Esposito

  4. Mizoram University, Aizawl, Mizoram, India

    Sadhan Gope

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Lalhungliana, Malakar, B., Chatterjee, S. (2020). Investigation on the Application of Fuzzy Logic Controller in Unified Power Flow Controller (UPFC). In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_52

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