Fast adaptive reclosing in double-circuit transmission lines for improving power system stability based on harmonic analysis scheme

An appropriate method is proposed for identifying permanent faults from transient faults in double-circuit transmission lines. This method could be used in adaptive single phase auto-reclosures in order to diagnose between permanent and transient faults, determine extinguishing time of the secondary arc, and calculate issuing time of reclosing commands during the occurrence of transient single phase to ground faults. The proposed method is based on harmonic analysis of the adjacent healthy circuit and could be an effective solution for blocking permanent disconnection of the power flow, improving stability, and maintaining the power network synchronism. In this paper, transient and permanent faults are simulated on a typical power system, and then current harmonics of the healthy circuit terminal are extracted and finally the proposed index for identifying the fault type is applied. In the case of transient faults, this method determines the minimum time needed for a fast successful adaptive reclosing in the network and thus prevents instability and nonsynchronism in both sides of the transmission line. Results of the various simulations run in EMTP-RV verifies accurate performance of the proposed approach.

___

  • [1] Jannati M, Vahidi B, Hosseinian SH, Ahadi SM. A novel approach to adaptive single phase auto-reclosing scheme for EHV transmission lines. International Journal of Electrical Power & Energy Systems 2011; 33 (3): 639-646. doi: 10.1016/j.ijepes.2010.12.023
  • [2] Wang X, Yang J, Liu P, Liu W, Yan J et al. Online calculation for the optimal reclosing time of transmission lines. Electric Power Components and Systems 2016; 44 (17): 1-13. doi: 10.1080/15325008.2016.1199071
  • [3] Jannati M, Jazebi S, Vahidi B, Hosseinian SH. A novel algorithm for fault type fast diagnosis in overhead transmission lines using hidden markov models. Journal of Electrical Engineering & Technology 2011; 6 (6): 742-749. doi: 10.5370/JEET.2011.6.6.742
  • [4] Radojevic ZM, Shin JR. New digital algorithm for adaptive reclosing based on the calculation of the faulted phase voltage total harmonic distortion factor. IEEE Transactions on Power Delivery 2007; 22 (1): 37-41. doi: 10.1109/TPWRD.2006.886781
  • [5] Aggarval RK, Johns AT, Dunn RW, Fitton DS. Neural network based adaptive single-pole autoreclosure technique for EHV transmission system. IEE Proceedings - Generation, Transmission and Distribution 1994; 141 (2): 155-160. doi: 10.1049/ip-gtd:19949864
  • [6] Yu IK, Song YH. Wavelet transform and neural network approach to developing adaptive single-pole auto-reclosing scheme for EHV transmission system. IEEE Power Engineering Review 1998; 18 (11): 62-64. doi: 10.1109/39.726911
  • [7] Radojevic ZM, Shin JR. New one terminal digital algorithm for adaptive reclosing and fault distance calculation on transmission lines. IEEE Transactions on Power Delivery 2006; 21 (3): 1231-1237. doi: 10.1109/TPWRD.2005.860285
  • [8] Elkalashy NI, Darwish HA, Taalab AI, Izzularab MA. An adaptive single pole autoreclosure based on zero sequence power. Electric Power System Research 2007; 77 (5): 438-446. doi: 10.1016/j.epsr.2006.04.006
  • [9] Lin X, Weng H, Liu H, Lu W, Liu P et al. A novel adaptive single-phase reclosure scheme using dual-window transient energy ratio and mathematical morphology. IEEE Transactions on Power Delivery 2006; 21 (4): 1871- 1877. doi: 10.1109/TPWRD.2006.881427
  • [10] Yaozhong G, Fanghai S, Yuan X. Prediction method for preventing single-phase reclosing on permanent fault. IEEE Transactions on Power Delivery 1989; 4 (1): 114-121. doi: 10.1109/61.19197
  • [11] Quoc TT, Hadj-Said N, Sabonnadiere JC, Feuillet R. Reducing dead time for single-phase auto-reclosing on a series-capacitor compensated transmission line. IEEE Transactions on Power Delivery 2000; 15 (1): 51-56. doi: 10.1109/61.847228
  • [12] Suonan JL, Sun DD, Fu W, Wang XB, Liu WT et al. Identification of permanent faults for single-phase autoreclosure on transmission lines with shunt reactors. In: Proceedings of CSEE; Oahu, HI, USA; 2006. pp. 75–81. doi: 10.1109/tpwrd.2009.2014475
  • [13] Chothani NG, Bhalja BR, Desai AK. A new algorithm for coordination of relay and auto-reclosure in 220 kV transmission system. In: India Conference (INDICON); Mumbai, India; 2013. pp. 1-6. doi: 10.1109/INDCON.2013.6726062
  • [14] Haitao Z, Chen Ping, Li-Ping W. Adaptive reclosure technology for high-voltage overhead lines combined with underground power cables based on travelling wave principle. In: Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering; Xi’an, China; 2012. pp. 143–150
  • [15] Adly AR, Sehiemy RA, Abdelaziz AY. An optimal/adaptive reclosing technique for transient stability enhancement under single pole tripping. Electric Power Systems Research 2017; 151: 348-358. doi: 10.1016/j.epsr.2017.06.005
  • [16] Seo H, Rhee S. Novel adaptive reclosing scheme using wavelet transform in distribution system with battery energy storage system. International Journal of Electrical Power & Energy Systems 2018; 79: 186-200. doi: 10.1016/j.ijepes.2017.11.009
  • [17] Shao W, Liu Y, Zhang W. Nonfault detection for three-phase reclosure in reactor-compensated transmission lines based on fault location. In: 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT); Changsha, China; 2015. pp. 1-4. doi: 10.1109/DRPT.2015.7432370
  • [18] Jiaxing N, Baina H, Zhenzhen W, Jie K. Algorithm for adaptive single-phase reclosure on shunt-reactor compensated extra high voltage transmission lines considering beat frequency oscillation. IET Generation, Transmission & Distribution 2018; 12 (13): 3193-3200. doi: 10.1049/iet-gtd.2017.1175
  • [19] Xie X, Huang C. A novel adaptive auto-reclosing scheme for transmission lines with shunt reactors. Electric Power Systems Research 2019; 171: 47-53. doi: 10.1016/J.EPSR.2019.01.028
  • [20] Luo X, Huang Ch, Jiang Y, Guo S. An adaptive three-phase reclosure scheme for shunt reactor-compensated transmission lines based on the change of current spectrum. Electric Power Systems Research 2018; 158: 184–194. doi: 10.1016/J.EPSR.2018.01.011
  • [21] Nikoofekr I, Sadeh J. Determining secondary arc extinction time for single-pole auto-reclosing based on harmonic signatures. Electric Power Systems Research 2018; 163: 211-225. doi: 10.1016/j.epsr.2018.06.013
  • [22] Abedini M, Sanaye-Pasand M, Davarpanah M, Lesani H, Shahidehpour M. Predictive auto-reclosure approach to enhance transient stability of grid-connected DGs. IET Generation, Transmission & Distribution 2019; 13 (14): 3011–3019. doi: 10.1049/iet-gtd.2018.6455
  • [23] Hernández JC, Ruiz-Rodriguez FR, Jurado F. Technical impact of photovoltaic-distributed generation on radial distribution systems: stochastic simulations for a feeder in Spain. International Journal of Electrical Power & Energy Systems 2013; 50: 25-32. doi: 10.1016/j.ijepes.2013.02.010
  • [24] Monadi M, Hooshyar H, Vanfretti L. Design and real-time implementation of a PMU-based adaptive autoreclosing scheme for distribution networks. International Journal of Electrical Power & Energy Systems 2019; 105: 37-45. doi: 10.1016/J.IJEPES.2018.07.064
  • [25] Dias O, Tavares MC, Magrin F. Hardware implementation and performance evaluation of the fast adaptive singlephase auto reclosing algorithm. Electric Power Systems Research 2019; 168: 169-183. doi: 10.1016/j.epsr.2018.11.019
  • [26] Shang L. Fault nature identification for single-phase adaptive reclosure on double circuit EHV transmission lines with shunt reactors. In: International Conference on High Voltage Engineering and Application; New Orleans, LA, USA; 2010. pp. 1-4. doi: 10.1109/ichve.2010.5640714
  • [27] Kizilcay M, Ban G, Prikler L, Handl P. Interaction of the secondary arc with the transmission system during singlephase autoreclosure. In: IEEE Bologna Power Tech Conference Proceedings; Bologna, Italy; 2003. pp. 1-20. doi: 10.1109/PTC.2003.1304294
  • [28] Prikler L, Kizilcay M, Ban G, Handle P. Improved secondary arc models based on identification of arc parameters from staged fault test records. In: 14PSCC; Seville, Spain; 2002. pp. 1-7
  • [29] Kizilcay M, Koch KH. Numerical fault arc simulation based on power m tests. European Transactions on Electrical Power 1994; 4 (3): 177-186. doi: 10.1002/etep.4450040302
  • [30] Johns AT, Aggarwal RK, Song YH. Improved techniques for modeling fault arcs on faulted EHV transmission systems. IEE Proceedings - Generation, Transmission and Distribution 1994; 141 (2): 148-154. doi: 10.1049/ipgtd:19949869