In this study, the detection, classification and location of faults on a power transmission system operating with a Static Compensator (STATCOM). A cumulative sum average technique is used to detect the instant of the occurrence of the fault, while the energy of the important frequency components of the fault current is evaluated using a computationally fast frequency filtering S-transform (FFST) (sparse ST) to classify the type of fault. Furthermore, the new matrix version of the FFST is used to calculate the fault location, and fault trajectories along with a simplified fast Gauss–Newton algorithm. To validate the new formulation, different types of faults are initiated on a transmission system before and after the STATCOM using MATLAB/SIMULINK software and it is observed from the results that the FFST detects, classifies and locates the fault type accurately in most of the cases. The computational speed of FFST is almost 30 times higher than the conventional discrete ST to make it a likely candidate for real-time application. Practical verification of the proposed scheme has been attempted using real-time digital simulator platform.

References

1. 1)
  - 4. Jafarian, P., Sanaye-Pasand, M.: ‘Weighted least error squares based variable windows phasor estimator for distance relaying application’, IET Gener. Trans. Distrib., 2011, 5, (3), pp. 298–306 (doi: 10.1049/iet-gtd.2010.0244).
2. 2)
  - 1. Sidhu, T.S., Varma, R.K., Gangadharan, P.K., Albasri, F.A., Ortiz, G.R.: ‘Performance of distance relays on shunt-FACTS compensated transmission lines’, IEEE Trans. Power Deliv., 2005, 20, (3), pp. 1837–1845 (doi: 10.1109/TPWRD.2005.848641).
3. 3)
  - P.K. Dash , S.R. Samantaray , G. Panda , B.K. Panigrahi . Time–frequency transform approach for protection of parallel transmission lines. IET Gener. Transm. Distrib. , 1 , 30 - 38
4. 4)
  - 22. Mohanty, S.R., Pradhan, A.K., Routray, A.: ‘A cumulative sum-based fault detector for power system relaying application’, IEEE Trans. Power Deliv., 2008, 23, (1), pp. 79–86 (doi: 10.1109/TPWRD.2007.911160).
5. 5)
  - 8. Albasri, F.A., Sidhu, T.S., Verma, R.K.: ‘Performance comparison of distance protection schemes for shunt-FACTS compensated transmission lines’, IEEE Trans. Power Deliv., 2007, 22, (4), pp. 2116–2125 (doi: 10.1109/TPWRD.2007.900283).
6. 6)
  - 6. Chanda, D., Kishore, N., Sinha, A.K.: ‘A wavelet multiresolution analysis for location of faults on transmission lines’, Int. J. Electr. Power Energy Syst., 2003, 25, (1), pp. 59–69 (doi: 10.1016/S0142-0615(02)00021-2).
7. 7)
  - 17. Krishnanand, K.R., Dash, P.K.: ‘Power quality analysis using s-transform for cross-differential protection of shunt-compensated power systems’, IEEE Trans. Power Deliv., 2013, 28, (1), pp. 402–410 (doi: 10.1109/TPWRD.2012.2221749).
8. 8)
  - 3. Ghazizadeh-Ahsaee, M., Sadeh, J.: ‘Accurate fault location algorithm for transmission lines in the presence of shunt-connected flexible AC transmission system devices’, IET Gener. Trans. Distrib., 2012, 6, (3), pp. 247–255 (doi: 10.1049/iet-gtd.2011.0657).
9. 9)
  - 23. Dash, P.K., Krishnanand, K.R., Padhee, M.: ‘Fast recursive Gauss-Newton adaptive filter for the estimation of power system frequency and harmonics in a noisy environment’, IET Gener. Transm. Distrib., 2011, 5, (12), pp. 1277–1289 (doi: 10.1049/iet-gtd.2011.0034).
10. 10)
  - 5. El-Zonkoly, A.M., Desouki, H.: ‘Wavelet entropy based algorithm for fault detection and classification in FACTS compensated transmission line’, Int. J. Electr. Power Energy Syst., 2011, 33, (8), pp. 1368–1374 (doi: 10.1016/j.ijepes.2011.06.014).

Distance protection of shunt compensated transmission line using a sparse S-transform

References

Related content