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Matching pursuits algorithm based fault distance estimator for TCSC compensated transmission lines.
- Source :
-
Electric Power Systems Research . Dec2023, Vol. 225, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- Fault distance estimation (FDE) in transmission lines with a thyristor controlled series compensator (TCSC) is a challenging task since the performance of FDE techniques gets affected by the variations in measured terminal voltages and line currents caused by the operation of TCSC during faults in the lines. Therefore, a robust FDE technique is utmost required for quicker power system restoration in the event of lines experiencing faults. Consequently, a matching pursuits algorithm (MPA) based traveling wave detection technique is presented in this work. The method is further utilized for FDE in lines with TCSC. The aerial-mode terminal bus voltage of the line is considered. The proposed technique first reconstructs the aerial-mode signals using MPA followed by determination of residuals from the difference of original and reconstructed signals. The next step determines time of arrival waves from respective peaks of the Teager energy of residual signals. Finally, the obtained ATWs are utilized for FDE. For simulation, a 3-machine 9-bus test system with one of its line compensated with TCSC is modeled in PSCAD/EMTDC platform. Different case studies are undertaken to validate the effective performance of the proposed technique. Further, comparative assessment is carried out to test the superiority of presented technique. • Fault distance estimator (FDE) for TCSC compensated transmission lines is proposed. • The proposed estimator utilizes the information of traveling waves terminating at two terminals. • Matching pursuits algorithm (MPA) is used detect traveling waves by decomposing modal voltage signals. • The peak of Teager energy of decomposed signal estimates arrival time of wave at the terminal of the line. • For simulation, WSCC 9 bus test system with TCSC compensation is used. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03787796
- Volume :
- 225
- Database :
- Academic Search Index
- Journal :
- Electric Power Systems Research
- Publication Type :
- Academic Journal
- Accession number :
- 172973534
- Full Text :
- https://doi.org/10.1016/j.epsr.2023.109835