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Academic Journal of Computing & Information Science, 2021, 4(8); doi: 10.25236/AJCIS.2021.040819.

Research on Transmission Fault Location Based on Scanning Data

Author(s)

Chen Youhui

Corresponding Author:
Chen Youhui
Affiliation(s)

State Grid Liaoning Electric Power Co, Ltd. Power Electric Research Institute, Shenyang, Liaoning 110015, China

Abstract

Aiming at the problem that the conventional transmission line fault location method has a delay in positioning and cannot be timely feedback, a method for fault location of transmission lines based on 3D scan data matching is proposed. 2D feature points are used to obtain three-dimensional point pairs. Structured light projectors and 3D scanning technology are applied to match image feature points and generate mapping relationships with reconstructed 3D space points. Then use point cloud computing to solve three-dimensional coordinates and use features. Click the interpolation result to complete the data matching process. The simulation experiment applies the 3D scanning data matching technology to the operation process of transmission line fault location. The experimental results show that compared with other methods, the method of this paper has the highest detection stability and the advantage of high accuracy of intelligent fault diagnosis, and can give feedback on transmission line faults in time.

Keywords

data scan; data matching; transmission line; fault location

Cite This Paper

Chen Youhui. Research on Transmission Fault Location Based on Scanning Data. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 8: 102-105. https://doi.org/10.25236/AJCIS.2021.040819.

References

[1] Fei Chunguo, Huo Hongshuang. Transmission line fault classification based on current amplitude and SVM[J]. Journal of Electric Power System and Automation, 2019, 31(4): 139-144.

[2] Liu Ruilin, Tai Nengling, Fan Chunju, et al. Research on accurate fault location of multi-terminal transmission lines based on positive sequence component[J]. Power System Technology, 2018, 42(9): 3033-3040.

[3] Zhou Hualiang, Rao Dan, Song Bin, et al. Information security protection design and application of the distributed fault diagnosis system for transmission lines[J]. Automation of Electric Power Systems, 2019, 43(15): 193-199.

[4] Jiao Zaibin, Song Xinyao, Li Bingxu, et al. A transmission line fault location method using 2-level back propagation neural network[J]. Journal of Xi’an Jiaotong University, 2019, 53(9):61-69.

[5] Kulikov A L, Anan’ev V V. An adaptive fault-location method for a power-transmission line using pulse registration on a high-frequency wave path[J].Russian Electrical Engineering, 2018, 89 (1): 26-31.

[6] Zhang Yanxia, Wang Haidong, Li Ting, et al. A combined single-ended fault location method for LCC-VSC hybrid DC transmission lines[J]. Automation of Electric Power Systems, 2019, 43(21): 187-199.

[7] Deng Yu-jia, He Zheng-you, Fu Ling, et al. Research on fault location scheme for inverter AC transmission line of AC-DC hybrid system[J]. IEEJ Transactions on Electrical & Electronic Engineering, 2018, 13(3): 455-462.

[8] Wang Mengke, Cai Fudong. SR-WT-based transmission line double-ended fault location method Method [J]. Hydropower Energy Science, 2019, 37(7): 154-156.

[9] Peng Nan, Yang Zhi, Liang Rui, et al. A distributed traveling wave ranging method for half-wavelength transmission lines[J]. Journal of Electrical Engineering and Control, 2019, 23(8): 35-42.

[10] Yu H, Ma C, Wang H. Transmission line fault location method based on compressed sensing estimation of traveling wave natural frequencies[J]. 2017, 32(23): 140-148.

[11] Yang An, Kong Chuixiang, Zhu Longji. A traveling wave fault location method for T-type transmission lines Method [J]. Chinese Science and Technology Papers, 2019, 14(7): 749-753.