Numerical Simulation of Detection and Classification of Symmetrical and Unsymmetrical Faults using Improved Stockwell Transform
Main Article Content
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.
Kaushik RK, Pragati. Analysis and Case Study of Power Transmission and Distribution. J Adv Res Power Electro Power Sys 2020; 7(2):1-3.
Anjali, Raj Kumar Kaushik and Deepak Sharma (2018), "Analyzing the Effect of Partial Shading on Performance of Grid Connected Solar PV System," 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), 1-4.
Hassan Fathabadi (2016), “Novel filter based ANN approach for short-circuit faults detection, classification and location in power transmission lines,” International Journal of Electrical Power and Energy Systems, 374–383.
Abdul Gafoor Shaik and Ramana Rao V. Pulipaka (2015), “A new wavelet based fault detection, classification and location in transmission lines,” International Journal of Electrical Power and Energy Systems, 35–40.
Moslem Dehghani, Mohammad Hassan Khooban andTaherNiknam (2016), “Fast fault detection and classification based on a combination of wavelet singular entropy theory and fuzzy logic in distribution lines in the presence of distributed generations,” International Journal of Electrical Power and Energy Systems, 455– 462.
Shoaib Hussain and A.H. Osman 2016, “Fault location scheme for multi-terminal transmission lines using unsynchronized measurements,” International Journal of Electrical Power and Energy Systems, 277–284.
Aleena Swetapadma and Anamika Yadav (2015), “All shunt fault location including cross-country and evolving faults in transmission lines without fault type classification,” Electric Power Systems Research, 1–12.
Sami Ekici (2012), “Support Vector Machines for classification and locating faults on transmission lines,” Applied Soft Computing, 1650–1658.
Rajkumar Kaushik, Om Prakash Mahela, Pramod Kumar Bhatt, (2021), "Hybrid Algorithm for Detection of Events and Power Quality Disturbances Associated with Distribution Network in the Presence of Wind Energy," 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 415-420.
Rajkumar Kaushik, Om Prakash Mahela, Pramod Kumar Bhatt, Baseem Khan, Akhil Ranjan Garg, Hassan Haes Alhelou and Pierluigi Siano (2021), "Recognition of Islanding and Operational Events in Power System With Renewable Energy Penetration Using a Stockwell Transform-Based Method," in IEEE Systems Journal, 69798-69813.
L.N. Tripathy, S.R. Samantaray and P.K. Dash (2016), “A fast time–frequency transform based differential relaying scheme for UPFC based double-circuit transmission line,” International Journal of Electrical Power and Energy Systems, 404–417.
Z. Q. Bo, M. A. Redfern, and G. C. Weller (2000), “Positional Protection of Transmission Line Using Fault Generated High Frequency Transient Signals,” Ieee Transactions on Power Delivery, 888-894.
Zahra Moravej, Mohammad Pazoki, and MojtabaKhederzadeh (2015), “New Pattern-Recognition Method for Fault Analysis in Transmission Line With UPFC,” IEEE Transactions on Power Delivery, 1231-1242.
Flavio B. Costa (2014), “Fault-Induced Transient Detection Based on Real-Time Analysis of the Wavelet Coefficient Energy,” IEEE Transactions on Power Delivery,140-153.
Saxena N., Ganguli S. (2015), " Solar and Wind Power Estimation and Economic Load Dispatch Using Firefly Algorithm", Procedia Computer Science, 688-700.
K. Murari, N. P. Padhy, A. K. Pradhan and F. Li (2019), "Investigating the impact of protection system reinforcement cost on the consumers associated with renewable integrated distribution network," in IET Generation, Transmission & Distribution,1572-1588.
Rajkumar Kaushik, Om Prakash Mahela, Pramod Kumar Bhatt, Baseem Khan, Sanjeevikumar Padmanaban and Frede Blaabjerg (2020), "A Hybrid Algorithm for Recognition of Power Quality Disturbances," in IEEE Access, 229184-229200.