Skip to main content
SpringerLink
Log in

Simultaneous Power Quality Disturbances Analysis Using Modified S-Transform and Evolutionary Approach

  • Conference paper
  • First Online:
Microelectronics, Electromagnetics and Telecommunications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 471))

Abstract

This chapter proposes a hybrid technique based on modified S-transform (ST) and Differential Evolution (DE) algorithm for the visual detection and pattern classification of different nonstationary power quality (PQ) events. The presence of Gaussian window in ST provides a high time resolution in low-frequency bands. The modified Gaussian window in modified ST is capable of depicting a high-resolution time–frequency representation (TFR) for different simultaneous PQ disturbance signals. Further, the modified ST is used for extraction of relevant features from the available PQ disturbance waveforms. Then, the features obtained by modified ST are clustered by using a fuzzy C-mean (FCM)-based DE algorithm. The analysis and experimental results show that the proposed hybrid technique provides a considerable improvement in PQ detection and classification.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fuchs E.F., Masoum M.A.S.: Power Quality in Power Systems and Electric Machines. 1st edn. Academic Press, (2008).

    Google Scholar 

  2. Santoso S., Powers E. J., Grady W. M.: Power quality disturbance data compression using wavelet transform methods. IEEE Trans. Power Del., vol. 12, pp. 1250–1257, (1997).

    Google Scholar 

  3. Gaouda A. M., Salama M. M. A., Sultan M. R., Chikhani A. Y.: Power quality detection and classification using wavelet-multiresolution signal decomposition. IEEE Trans. Power Del., vol. 14, pp. 1469–1476, (1999).

    Google Scholar 

  4. Karimi M., Mokhtari H., Iravani M. R.: Wavelet based on-line disturbance detection for power quality applications. IEEE Trans. Power Del., vol. 15, pp. 1212–1220, (2000).

    Google Scholar 

  5. Santoso S., Grady W. M., Powers E. J., Lamoree J., Bhatt S. S.: Characterization of distribution power quality events with Fourier and wavelet transforms. IEEE Trans. Power Del., vol. 15, pp. 247–254, (2000).

    Google Scholar 

  6. Dash P. K., Panigrahi B. K., Panda G.: Power Quality analysis using S-Transform. IEEE Trans. Power Del., vol. 18, pp. 406–411, (2003).

    Google Scholar 

  7. Sejdic E., Djurovic I., Jiang J.: A window width optimized S-transform, EURASIP, J. Adv. Signal Process. 672941, (2008).

    Google Scholar 

  8. Dash P. K., Mishra S., Salama M. A., Liew A. C.: Classification of power system disturbance using a fuzzy expert system and a Fourier linear combiner. IEEE Trans. Power Del., vol. 15, pp. 472–477, (2000).

    Google Scholar 

  9. Mishra M. Bhende C. N. Panigrahi B. K.: Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network, IEEE Trans. Power Del., vol 23, pp. 280–287, (2008).

    Google Scholar 

  10. Biswal B., Biswal M., Mishra S., Jalaja R.: Automatic Classification of Power Quality Events Using Balanced Neural Tree. IEEE Trans. Ind. Elect., vol. 61, pp. 521–530, (2014).

    Google Scholar 

  11. Biswal B., Dash P. K., Panigrahi B. K.: Power quality disturbance classification using fuzzy C-means algorithm and adaptive particle swarm optimization. IEEE Trans. on Ind. Elec., vol. 56, pp. 212–220, (2009).

    Google Scholar 

  12. Stockwell R. G., Mansinha L, Lowe R. P,: Localization of the complex spectrum: The S-transform. IEEE Trans. Signal Process., vol. 44, no. 4, pp. 998–1001. (1996).

    Google Scholar 

  13. Storn R., Price K..: Differential Evolution – A Simple and efficient Heuristic for global Optimization for Continuous spaces. Journal of Global Optimization, vol. 11, pp. 341–359, (1997).

    Google Scholar 

  14. Das S., Abraham A., Konar A.: Automatic Clustering Using an Improved Differential Evolution Algorithm, IEEE Trans. Sys. Man. Cyber., vol. 38, pp. 218–237, (2008).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology, Jamshedpur, 831014, India

    G. Sahu & A. Choubey

  2. Department of Electronics and Communication Engineering, Raghu Engineering College, Visakhapatnam, 531162, India

    G. Sahu

Authors
  1. G. Sahu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Choubey
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to G. Sahu .

Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication, Ramon Llull University, Barcelona, Spain

    Jaume Anguera

  2. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  3. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  4. BVRIT Hyderabad College of Engineering for Women, Hyderabad, Andhra Pradesh, India

    K.V.N. Sunitha

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sahu, G., Choubey, A. (2018). Simultaneous Power Quality Disturbances Analysis Using Modified S-Transform and Evolutionary Approach. In: Anguera, J., Satapathy, S., Bhateja, V., Sunitha, K. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-10-7329-8_31

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7329-8_31

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7328-1

  • Online ISBN: 978-981-10-7329-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation