Xiuyu GuoThis email address is being protected from spambots. You need JavaScript enabled to view it.1, Caixia Tao1, Taiguo Li1, Qiang Zhuo1, and Xu Bai2
1School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lan Zhou, China 2Chengdu Metro Operation Co. Ltd Chen Du, China
Received: July 18, 2022 Accepted: March 4, 2023 Publication Date: March 23, 2023
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Due to the discontinuous wave impedance, uneven line parameters, and complex and changeable fault transient traveling waves of overhead-cable hybrid transmission lines, the traditional double-ended traveling wave ranging method will produce large errors. Aiming at this problem, this paper proposes a fault location method for multi-point hybrid transmission lines based on Hilbert-Huang transform (HHT). First, the effective identification of the traveling wave head is completed at both ends of the line and at the connection point between the overhead line and the cable line, and then the HHT is used to extract the time when the fault traveling wave head reaches the measurement point, and finally it is substituted into the multi-point ranging equation to calculate the fault. The result of the ranging. The simulation results of MATLAB/PSCAD show that the method proposed in this paper avoids the influence of traveling wave velocity on the ranging accuracy, and is not affected by the line structure. Compared with the traditional double-ended ranging method, its ranging accuracy is higher. At the same time, it can also meet the requirements of engineering practice positioning accuracy within 200m.
[1] L. Liu, (2020) “Faulted feeder identification and location for a single line-to-ground fault in ungrounded distribution system based on principal frequency component" Archives of Electrical Engineering 69(3): 695–704.
[2] R. Minullin, E. Y. Abdullazyanov, Y. V. Piskovatsky, V. Kasimov, A. Minkin, and T. Filimonova, (2021) “Using the Location Method for Simulated-and-Experimental Location of Single-Phase-to-Earth Faults in Overhead Lines of 6–35 kV Distribution Networks" Power Technology and Engineering 54: 733–739. DOI: 10.1007/s10749-020-01279-8.
[3] E. R. Kirzhatskikh and V. K. Kozlov, “Remote determining the location of a single-phase earth fault in 6-10 kV networks based on voltage sensors" IOP Publishing Ltd: DOI: 10.1088/1755-1315/1045/1/012110.
[4] V. T. Yan, R. Fernandes, and D. V. Coury, (2021) “Reducing multiple estimation for fault location in medium voltage distribution networks" Electric Power Systems Research 199(6): 107424. DOI: 10.1016/j.epsr.2021.107424.
[5] P. Mri, O. Leki, B. Erceg, C. Zeljkovic, and P. Balcerek, (2018) “Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators" Electronics 22(2): 80–92. DOI: 10.7251/ELS1822080M.
[6] A. Mukherjee, P. K. Kundu, and A. Das, (2021) “Transmission line faults in power system and the different algorithms for identification, classification and localization: a brief review of methods" Journal of The Institution of Engineers (India): Series B: 1–23. DOI: 10.1007/s40031-020-00530-0.
[7] J. S. Ortega and M. C. Tavares, (2021) “Fault impedance analysis and non-conventional distance protection settings for half-wavelength transmission line applications" Electric Power Systems Research 198: 107361. DOI: 10.1016/j.epsr.2021.107361.
[8] V. K. Gaur, B. R. Bhalja, and A. Saber, (2022) “New ground fault location method for three-terminal transmission line using unsynchronized current measurements" International Journal of Electrical Power & Energy Systems 135: 107513. DOI: 10.1016/j . ijepes .2021.107513.
[9] D. Kumar, A. Kumar, and A. Yadav, (2016) “A flexible scheme of fault sensing in power transmission line using artificial intelligence technics" Am. J. Remote Sens 4(6): 33–39.
[10] P. Chawardol and H. Sheikh, (2016) “Transmission Line Fault Classification and Fault Zone Identification using Back-Propagation Algorithm based Neural Network" IJERT-International Journal of Engineering Research Technology (12): DOI: 10.1109/ICUEPES.2011.6497761.
[11] M. Akdag and S. Rustemli, (2019) “Transmission line fault location: Simulation of real faults using wavelet transform based travelling wave methods" Bitlis Eren University Journal of Science and Technology (2): DOI: 10.17678/beuscitech.653273.
[12] D. Chauhan, B. Singh, and R. Saini, (2018) “Fault Analysis Using Stft and Travelling Wave Method":
[13] J. Fang, Y. Yan, H. Zhang, H. Wang, and Y. Wang, “Research on fault section location method of distribution networks with arc suppression coil grounding based on energy leakage function" IET Generation Transmission Distribution: DOI: 10.1049/iet-gtd.2020.0891.
[14] P. N. Ayambire, Q. Huang, D. Cai, O. Bamisile, and P. Anane, (2020) “Real-time and contactless initial current traveling wave measurement for overhead transmission line fault detection based on tunnel magnetoresistive sensors" Electric Power Systems Research 187: DOI: 10.1016/j.epsr.2020.106508.
[15] D. Akmaz and M. S. Mami, “Fault location method on two-terminal transmission line using synchronized time information of traveling waves" Electrical Engineering:1–12. DOI: 10.1007/s00202-021-01356-9.
[16] S. Robson, A. Haddad, and H. Griffiths, (2018) “Traveling Wave Fault Location Using Layer Peeling" Energies 12(1): DOI: 10.3390/en12010126.
[17] F. B. Costa, F. V. Lopes, K. Silva, K. Dantas, and R. Silva, (2019) “Mathematical development of the sampling frequency effects for improving the two-terminal traveling wave-based fault location" International Journal of Electrical Power Energy Systems 115: DOI: 10.1016/j.ijepes.2019.105502.
[18] B. R. Kumar, A. Mohapatra, S. Chakrabarti, and A. Kumar, “Phase angle-based fault detection and classification for protection of transmission lines" International Journal of Electrical Power Energy Systems 133: DOI: 10.1016/j.ijepes.2021.107258.
[19] S. Vergura and M. Carpentieri, (2018) “Phase coherence index, HHT and wavelet analysis to extract features from active and passive distribution networks" Applied Sciences 8(1): 71. DOI: 10.3390/app8010071.
[20] S. Hasan, K. M. Muttaqi, and D. Sutanto, (2020) “Detection and Characterization of Time-variant Nonstationary Voltage Sag Waveforms Using Segmented Hilbert Huang Transform" IEEE Transactions on Industry Applications PP(99): 1–1. DOI: 10.1109/TIA.2020.2982850
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