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Research summary on fault location technology of power distribution network based on intelligent algorithm

Published: 31 July 2024 Publication History

Abstract

Abstract. With the development of social economy, it is of great significance to study the distribution network fault detection and positioning technology to improve the reliability of power supply. This paper describes the common methods, including signal injection method, impedance method, ratio method, traveling wave method and intelligent algorithm. At the same time, the advantages and disadvantages of these methods, the application scope and the practical application effect are compared and sorted out. The results show that the intelligent algorithm has good speed, accuracy and fault tolerance in the fault location of the distribution network. Subsequently, the principle and application of intelligent algorithm are elaborated in detail, and the neural network, ant colony algorithm and different fault location algorithms based on HHT and genetic algorithm are listed. The core technology points of these algorithms are introduced one by one, showing the strong advantages of intelligent algorithm in the fault positioning of the distribution network. To sum up, intelligent algorithm is likely to become an important technical means for fault positioning of distribution network in the future, and has important theoretical and research significance for power grid security and technical development.

References

[1]
Zhang L L. Small current grounding fault positioning method and its application study [D]. Shandong University, 2013.
[2]
Wang D F, Tao F D, Huang Z P, Zhu X and Li G C. 2020. Research on fault location technology under small current grounding mode of power distribution network. J. Electromechanical Engineering Technology., 49 (01): 65-68.
[3]
Qin J Q, He R Y, Jia Z L, Zhou D, Wang Z W, Zheng K K, Wan F and Li Y L. 2022. Research progress and prospect of intelligent fault indicator. J. Electrical technology., 10: 103-106.
[4]
Chen L. Research on the fault location method of power distribution network based on fault indicator system [D]. Kunming University of Science and Technology, 2019.
[5]
Zhang C Y. 2007. Analysis of the technical status of single-phase ground fault indicator. J. Power Grid Technology., S2: 280-283.
[6]
Li Y G, Zhang S W and Zhang Z J. 2019. Fof fault indicator overview. J. Technology wind., 04: 167 + 174.
[7]
Liu Q. Study on fault location of distribution network based on fault indicator [D]. Guangxi University, 2016.
[8]
Yu H L. Research on distribution network fault location algorithm based on feeder terminal equipment [D]. Chongqing University of Technology, 2020.
[9]
Car W. Study on single-phase ground fault location of small current grounding system based on wavelet analysis [D]. Hohai University, 2003.
[10]
Ye J L. 2022. Single-phase ground fault location method of distribution network cable based on genetic algorithm. J. Automation application., 04: 133-135.
[11]
Zheng G. Single-phase ground fault positioning method for low-current grounding system based on injection method [D]. Shandong University, 2007.
[12]
Zhang H F, Pan Z C and Sang Z Z. 2004. A new method for fault location of low current grounding system based on injection method. J. Automation of Electric Power System., 03: 64-66.
[13]
Chao J. Research on the application of the Internet of Things technology in the online fault positioning system of the power distribution network [D]. North China Electric Power University, 2013.
[14]
Li J. Research on the principle and fault location method of single-phase ground fault relay protection in power distribution network [D]. South China University of Technology, 2021.
[15]
Xiao Y G. Research on single-phase ground fault location of power distribution network [D]. North China Electric Power University, 2022.
[16]
Wang D C. Improving Hilbert-Huang transformation and its application in signal processing of power system [D]. Changsha University of Science and Technology, 2011.
[17]
Su L. 2017. Cable fault diagnosis based on HHT transform and FOA _ LSS VM. J. Computer and Modernization., 09: 96-101 + 105.
[18]
Li D D. Study on single-phase ground fault ranging of power distribution network based on HHT and genetic algorithm [D]. China University of Petroleum, 2011.
[19]
Shi Y T. 2017. Single-phase ground fault line selection method based on Hilbert-Huang. J. Digital Design., 6 (05): 63-64.
[20]
Chen L W. Research on power load clustering and transmission line fault identification based on ant colony optimization algorithm [D]. Tianjin University, 2005.
[21]
Song L Y, Wang H Q, Gao J J and Wang F. 2011. Modern Vibration and Noise Technology (Volume 9). Aviation Industry Press, Bei Jing.
[22]
Zhang L, Li X Y, Zhang P and Chen Y X. 2023. Fault location method of power distribution network based on combined neural network. J. Journal of Electric Power System and Automation., 35 (09): 87-94.
[23]
Chen X L, Sun L R, Li Y L and Li B. 2023. Asynchronous fault ranging algorithm for dual-terminal transmission lines based on artificial neural network and network migration. J. Power Grid Technology., 1-13.
[24]
Zhang W B. 2023. Application of traveling wave fault ranging in different types of catenary. J. Electrified Railway., 34 (S1): 42-46.
[25]
Qi Z, Huang Z H and Chen Y B. 2023. Based on zero order component. J. Power System protection and Control., 51 (06): 54-62.
[26]
Liu X T and Mo F J. 2022. Early fault location method for cables based on impedance calculation. J. Electronic devices., 45 (05): 1202-1206.
[27]
Zeng X P, Liu Y, Dong J G, Liu B and Zeng S D. 2023. Design of low-voltage cable fault detection device based on DC ratio method. J. Mechanical and Electronic., 41 (05): 28-32.
[28]
HUANG N E and LONG S R. 1999. A New View of Nonlinear Water Waves: The Hilbert Spectrum. J. Annual Review of Fluid Mechanics., 340 (31): 417-457.
[29]
Dashti R, Salehizadeh S and Shaker H. 2018. Fault Location in Double Circuit Medium Power Distribution Networks Using an Impedance-Based Method. J. Applied Sciences., 8 (7): 1034-1034.
[30]
Chen X J, Ding T K and Zhang Z. 2006. Application of ant colony algorithm in fault location of power distribution network. J. Power System Automation., 05: 74-77.

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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