Detection of symmetrical fault and discrimination from power swing using MOPSVC approach
-
Kumarraja Andanapalli
and
Monalisa Biswal
Abstract
Distance relay are designed with swing blocking/tripping logic to maintain reliable and secure operation of power system. To prevent this from happening, the relay is functioned with a power swing blocking (PSB) logic. However, ensuring proper detection to swing event requires to overcome from the dependable situation such as three-phase fault. The relay refuses to behave normally if both swing and three-phase fault occur simultaneously. Reliable setting is essential to generate trip/block command. Unsymmetrical faults are easily detected during the swing condition due to the presence of negative and zero sequence components, but such components are absent in the case of symmetrical/three-phase fault. As a result, symmetrical fault under blocking condition is unidentified many a times by the distance relay, arising security issues. To improve the relay operation during swing and symmetrical fault conditions, a MOPSVC (multiplication of positive sequence voltage and current) based index is developed in this work. The MOPSVC index helps to discern power swing from three-phase fault. To test the efficacy of the method, a 230 kV, 50 Hz two-area four machine system, and Indian Eastern Regional Grid (IERG) network are considered. Simulation task is conducted using EMTDC/PSCAD software. To investigate the performance of the proposed method, various swing phenomena, faults, CT saturation, switching transients, and the presence of noise cases are considered, and the results demonstrate the robustness of the proposed algorithm. Responses under stressed power system conditions are also investigated, and a report on comparisons with existing methods is provided. Simulated results confirm that the proposed algorithm can balance the dependability and security aspects of the protection logic.
-
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
-
Research funding: None declared.
-
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. IEEE Power System Relaying Committee of the IEEE Power Engineering Society. Power swing and out‐of‐step considerations on transmission line. Report of PSRC WG D6 2005; 2005.Search in Google Scholar
2. Kundur, P. Power system stability and control. New York: McGraw-Hill; 1994.Search in Google Scholar
3. Brahma, SM. Distance relay with out-of-step blocking function using wavelet transform. IEEE Trans Power Deliv 2007;22:1360–6. https://doi.org/10.1109/tpwrd.2006.886773.Search in Google Scholar
4. Pang, C, Kezunovic, M. Fast distance relay scheme for detecting symmetrical fault during power swing. IEEE Trans Power Deliv 2010;25:2205–12. https://doi.org/10.1109/tpwrd.2010.2050341.Search in Google Scholar
5. Lotfifard, S, Faiz, J, Kezunovic, M. Detection of symmetrical faults by distance relays during power swings. IEEE Trans Power Deliv 2010;25:81–7. https://doi.org/10.1109/tpwrd.2009.2035224.Search in Google Scholar
6. Mahamedi, B, Zhu, JG. A novel approach to detect symmetrical faults occurring during power swings by using frequency components of instantaneous three-phase active power. IEEE Trans Power Deliv 2012;27:1368–75. https://doi.org/10.1109/tpwrd.2012.2200265.Search in Google Scholar
7. Rao, JG, Pradhan, AK. Accurate phasor estimation during power swing. IEEE Trans Power Deliv 2016;31:130–7. https://doi.org/10.1109/tpwrd.2015.2441132.Search in Google Scholar
8. Mohamad, NZ, Abidin, AF, Musirin, I. Intelligent power swing detection scheme to prevent false relay tripping using S-transform. Int J Emerg Elec Power Syst 2014;15:291–98. https://doi.org/10.1515/ijeeps-2013-0107.Search in Google Scholar
9. Mondal, A, Das, S, Patel, B. Fault detection during power swing using fast discrete S-transform. In: Maharatna, K, Kanjilal, M, Konar, S, Nandi, S, Das, K, editors. Computational advancement in communication circuits and systems. Lecture notes in electrical engineering. Singapore: Springer; 2020, vol 575:73–9 pp.10.1007/978-981-13-8687-9_7Search in Google Scholar
10. Nayak, PK, Pradhan, AK, Bajpai, P. A fault detection technique for the series-compensated line during power swing. IEEE Trans Power Deliv 2013;28:714–22. https://doi.org/10.1109/tpwrd.2012.2231886.Search in Google Scholar
11. Rao, JG, Pradhan, AK. Differential power-based symmetrical fault detection during power swing. IEEE Trans Power Deliv 2012;27:1557–64. https://doi.org/10.1109/tpwrd.2012.2196527.Search in Google Scholar
12. Andanapalli, K, Varma, BRK. Parks transformation based symmetrical fault detection during power swing. In: Proceedings of IEEE 18th national power system conference, Guwahati, India; 2014:1–5 pp.10.1109/NPSC.2014.7103817Search in Google Scholar
13. Rao, JG, Pradhan, AK. Power swing detection using moving averaging of current signals. IEEE Trans Power Deliv 2015;30:368–76. https://doi.org/10.1109/tpwrd.2014.2342536.Search in Google Scholar
14. Gautam, S, Brahma, SM. Out of step blocking function in distance relay using mathematical morphology. IET Gener Transm Distrib 2012;6:313–9. https://doi.org/10.1049/iet-gtd.2011.0514.Search in Google Scholar
15. Khodaparast, J, Khederzadeh, M. Three-phase fault detection during power swing by transient monitor. IEEE Trans Power Syst 2015;30:2558–65. https://doi.org/10.1109/tpwrs.2014.2365511.Search in Google Scholar
16. Kumar, J, Jena, P. Solution to fault detection during power swing using Teager–Kaiser energy operator. Arabian J Sci Eng 2017;42:5003–13. https://doi.org/10.1007/s13369-017-2538-7.Search in Google Scholar
17. Azbe, V, Mihalic, R, Jaeger, J. A direct method for assessing distance-protection behavior during power swings. Int J Electr Power Energy Syst 2017;90:94–102. https://doi.org/10.1016/j.ijepes.2017.02.003.Search in Google Scholar
18. Andanapalli, K, Biswal, M. Symmetrical fault–swing discrimination using RMS index-based superimposed current signals. In: Advances in electric power and energy infrastructure. Singapore: Springer; 2020:13–24 pp.10.1007/978-981-15-0206-4_2Search in Google Scholar
19. Moravej, Z, Ashkezari, JD, Pazoki, M. An effective combined method for symmetrical fault identification during power swing. Int J Electr Power Energy Syst 2015;64:24–34. https://doi.org/10.1016/j.ijepes.2014.07.039.Search in Google Scholar
20. Daryalal, M, Sarlak, M. Fast fault detection scheme for series-compensated lines during power swing. Int J Electr Power Energy Syst 2017;92:230–44. https://doi.org/10.1016/j.ijepes.2017.05.015.Search in Google Scholar
21. Prabhu, MS, Nayak, PK, Pradhan, G. Detection of three-phase fault during power swing using zero frequency filtering. Int Trans Electr Energ Syst 2019;29:e2700.10.1002/etep.2700Search in Google Scholar
22. Biswal, S, Biswal, M. Fault-swing discrimination using Hilbert–Haung transform integrated discrete Teager Kaiser energy operator. IET Sci Meas Technol 2018;12:829–37. https://doi.org/10.1049/iet-smt.2018.0053.Search in Google Scholar
23. Abidin, AF, Mohamed, A, Shareef, H. A new blocking scheme for distance protection during power swings. Int J Emerg Elec Power Syst 2010;11:1–18. https://doi.org/10.2202/1553-779x.2398.Search in Google Scholar
24. Patel, UG, Chothani, NG, Bhatt, PJ. Distance relaying with power swing detection based on voltage and reactive power sensitivity. Int J Emerg Elec Power Syst 2016;17:27–38. https://doi.org/10.1515/ijeeps-2015-0109.Search in Google Scholar
25. Andanapalli, K, Biswal, M. An enhanced power swing and symmetrical fault discrimination logic for integrated power network. Int Trans Electr Energ Syst 2020;30:1–17. https://doi.org/10.1002/2050-7038.12416.Search in Google Scholar
26. Parniani, MS, Sanaye-Pasand, M, Jafarian, P. A blocking scheme for enhancement of distance relay security under stressed system conditions. Int J Electr Power Energy Syst 2018;94:104–15. https://doi.org/10.1016/j.ijepes.2017.06.020.Search in Google Scholar
27. Mohammad Hashemi, S, Sanaye-Pasand, M, Shahidehpour, M. Fault Detection during power swings using the properties of fundamental frequency phasors. IEEE Trans Smart grid 2019;10:1385–94. https://doi.org/10.1109/tsg.2017.2765200.Search in Google Scholar
28. Pradhan, V, Naidu, OD. A method to detect symmetrical faults during power swing for distance protection of transmission lines. In: Proceedings of 15th international conference on developments in power system protection (DPSP 2020); 2020.10.1049/cp.2020.0047Search in Google Scholar
29. Taheri, B, Sedighizadeh, M. Detection of power swing and prevention of mal-operation of distance relay using compressed sensing theory. IET Gener Transm Distrib 2020;14:5558–70. https://doi.org/10.1049/iet-gtd.2020.0540.Search in Google Scholar
30. Andanapalli, K, Nagaraju, KV, Biswal, M. Symmetrical fault detection during power swing: a comparative study. In: Proceedings of the EECCMC international conference on electrical, electronics, computers, communication, mechanical and computing; 2018.10.1109/ICCPCT.2017.8074350Search in Google Scholar
31. Jarrahi, AM, Samet, H, Ghanbari, T. Fast current-only based fault detection method in transmission line. IEEE Syst J 2019;13:1725–36. https://doi.org/10.1109/jsyst.2018.2822549.Search in Google Scholar
32. Eastern Regional Power Committee (ERPC). Annual reports; 2017 [Online]. Available from: http://erpc.gov.in/wp-content/uploads/2018/06/Annual-Report-2017-18-1.pdf.Search in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Green energy transaction assessment on individual customer based on power factor correction coefficient
- A rate-of-change-of-current based fault classification technique for thyristor-controlled series-compensated transmission lines
- A comparative analysis of the performance of centralized inverter and parallel inverter based hybrid microgrid system for distributed generation
- Optimal reconfiguration of balanced and unbalanced distribution systems using firefly algorithm
- Identification of the best topology of delta configured three phase induction generator for distributed generation through experimental investigations
- Detection of symmetrical fault and discrimination from power swing using MOPSVC approach
- Coordinated control and parameters optimization for PSS, POD and SVC to enhance the transient stability with the integration of DFIG based wind power systems
- Dual model representation of solar photovoltaic cell
- Performance analysis of adaptive smart controllers for islanded microgrid
- Novel models of power system components for implicit solution of the adjusted power flow problem
- Evaluation of relative performance of Indian states in PV resource utilization through MPI
- Correlation between electric energy use and CO2 emissions in a university campus in Brazil
Articles in the same Issue
- Frontmatter
- Research Articles
- Green energy transaction assessment on individual customer based on power factor correction coefficient
- A rate-of-change-of-current based fault classification technique for thyristor-controlled series-compensated transmission lines
- A comparative analysis of the performance of centralized inverter and parallel inverter based hybrid microgrid system for distributed generation
- Optimal reconfiguration of balanced and unbalanced distribution systems using firefly algorithm
- Identification of the best topology of delta configured three phase induction generator for distributed generation through experimental investigations
- Detection of symmetrical fault and discrimination from power swing using MOPSVC approach
- Coordinated control and parameters optimization for PSS, POD and SVC to enhance the transient stability with the integration of DFIG based wind power systems
- Dual model representation of solar photovoltaic cell
- Performance analysis of adaptive smart controllers for islanded microgrid
- Novel models of power system components for implicit solution of the adjusted power flow problem
- Evaluation of relative performance of Indian states in PV resource utilization through MPI
- Correlation between electric energy use and CO2 emissions in a university campus in Brazil
