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Proceedings of the Third International Conference on Soft Computing for Problem Solving pp 85–94Cite as

Discrete Wavelet Transform Based Fault Detection and Classification in a Static Synchronous Series Compensated Transmission System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

Protection of a transmission line which includes Flexible AC Transmission system (FACTS) devices using distance protection is a challenging task. In this paper, a power system with Static Synchronous Series Compensator (SSSC) is placed at the center of the transmission line is taken into analysis. In this paper a statistical algorithm is proposed which detects and classifies the type of fault and locates it in the SSSC compensated transmission line. The proposed algorithm is based on wavelet transform of the three phase current measured on the sending end of the line and Classification And Regression Tree (CART), a commonly available statistical method is used to classify the fault. Wavelet transform of current signal provides the hidden information of the fault location which is the input to the CART. The algorithm developed is simple and effective in detecting, classifying, and estimating the location of fault. The effective and efficient way of handling faults are exhibited using various fault cases and their corresponding simulation also shows it.

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References

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Acknowledgments

The authors are thankful to the authorities of Thiagarajar College of Engineering, Madurai-625015, India, for providing all the facilities to do the research work.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, India

    M. Geethanjali, M. Anju Alias & T. Karpaga Senthil Pandy

Authors
  1. M. Geethanjali
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  2. M. Anju Alias
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  3. T. Karpaga Senthil Pandy
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Corresponding author

Correspondence to M. Geethanjali .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

Appendix: System Parameters of Fig. 1. (Base MVA = 100)

Appendix: System Parameters of Fig. 1. (Base MVA = 100)

Generator:

Rated Voltage: 11 kV

Short Circuit Level: 6GW

X/R Ratio: 7

Transformer1(Y/Y):

Rated Voltage: 11 kV/110 kV

Transformer2(Y/Y):

Rated Power: 250 MVA

Leakage Resistance: 0.002pu

Leakage Resistance: 0.08 pu

Transformer3(Y/Y):

Rated Voltage: 110 kV/33 kV

Transformer4(Y/Y):

Rated Power: 300 MVA

Leakage Resistance: 0.002 pu

Leakage Resistance: 0.08 pu

Transmission Line :

Resistance: 0.01809 pu

Reactance: 0.0195 pu

Load1:

Active Power: 15 MW

Load2:

Reactive Power: 50 MVAR

SSSC:

Rated power: 70 MVA

Nominal DC Voltage: 700 V

Nominal AC Voltage: 6.6 kV

Number of Pulses: 12

Series Coupling Transformer:

Rated Voltage: 6.6 kV/48 kV

Rated power: 70 MVA

Leakage Resistance: 0.001 pu

Leakage Reactance: 0.05 pu

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Geethanjali, M., Anju Alias, M., Karpaga Senthil Pandy, T. (2014). Discrete Wavelet Transform Based Fault Detection and Classification in a Static Synchronous Series Compensated Transmission System. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_8

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_8

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

  • eBook Packages: EngineeringEngineering (R0)

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