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Identification of Industrial Nonlinear Loads Using S-Transform Aided Fuzzy Classifier

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Applications of Computing, Automation and Wireless Systems in Electrical Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 553))

Abstract

This paper presents a system for identification and localization of type of load in an industrial power system. A simulated standard IEEE 5-bus industrial power system has been considered in the work, where the variations of the supply frequency harmonics remain within the limit as per IEC-61000 standard. The current waveforms recorded at the point of common coupling (PCC) are used for identification of the unknown nonlinear loads. Stockwell transform (ST) has been used to transform the recorded time domain signal into time–frequency domain. Further, ST is used to identify different non-stationary signatures present in the current waveforms of different power electronic drives. A comprehensive analysis has been performed to find suitable set of reduced number of features from the obtained ST coefficients, to make the system computationally light and to limit the response time to one-half of the fundamental supply frequency. The obtained optimum set of features then has been fed to fuzzy machine, for possible identification of type and location of load. Obtained results found to be robust enough to identify the nonlinear loads, even in poor quality of supply voltages.

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Author information

Authors and Affiliations

  1. Defence Research and Development Organization (DRDO), DRDO HQ, New Delhi, 110011, Delhi, India

    Pullabhatla Srikanth

  2. NIT Durgapur, Gandhi More, Durgapur, 713209, India

    C. Koley

Authors
  1. Pullabhatla Srikanth
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  2. C. Koley
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Corresponding author

Correspondence to Pullabhatla Srikanth .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Delhi , New Delhi, Delhi, India

    Sukumar Mishra

  2. Department of Electrical Engineering , National Institute of Technology, Hamirpur, Himachal Pradesh, India

    Yog Raj Sood

  3. JSS Academy of Technical Education, Noida, Uttar Pradesh, India

    Anuradha Tomar

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Srikanth, P., Koley, C. (2019). Identification of Industrial Nonlinear Loads Using S-Transform Aided Fuzzy Classifier. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_27

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  • DOI: https://doi.org/10.1007/978-981-13-6772-4_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6771-7

  • Online ISBN: 978-981-13-6772-4

  • eBook Packages: EngineeringEngineering (R0)

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