Numerical Simulation of Detection and Classification of Symmetrical and Unsymmetrical Faults using Improved Stockwell Transform

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Output Current plot when LG fault at bus 838
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Published: Sep 30, 2022
DOI: https://doi.org/10.17762/ijrmee.v9i3.376

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Bharat Bhushan Jain
Professor, Department of Electrical Engineering, Jaipur Engineering College, Kukas, Jaipur
Nandkishor Gupta
Professor, Department of Electrical and Electronics Engineering, Poornima University, Jaipur
Ashish Raj
Assistant Professor, Department of Electrical and Electronics Engineering, Poornima University, Jaipur

Abstract

In the electricity industry, dispersed generators' changing behavior has a number of systemic effects that need to be looked at. Power system protection equipment is widely employed, dispersed across the whole network, and helps utilities strengthen the system against a variety of symmetrical and asymmetrical faults; their identification and segregation are thus essential. The Stockwell Transform is used to generate an S-matrix from signal characteristics in the unique fault diagnosis approach that has been developed. This method, which is evaluated using MATLAB Simulink and IEEE 33 Bus systems, depends on thresholds and an algorithm to identify errors.

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How to Cite
Bharat Bhushan Jain, Nandkishor Gupta, & Ashish Raj. (2022). Numerical Simulation of Detection and Classification of Symmetrical and Unsymmetrical Faults using Improved Stockwell Transform. International Journal on Recent Technologies in Mechanical and Electrical Engineering, 9(3), 75–80. https://doi.org/10.17762/ijrmee.v9i3.376
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Vol. 9 No. 3 (2022): July-September (2022) Issue
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