Efficient Fault Detection in Power Transmission: A Review of Three-Phase Line Fault Detection with Hybrid Energy using MATLAB

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Year : January 10, 2024 | Volume : 01 | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 01 | Page : 42-47

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    Sagar Chaudhari, Varad Gurav, Chinmay Upasani, Suraj Ghule, Sharad S. Patil

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  1. Student, Student, Student, Student, Assistant Professor, Department of Electrical Engineering, NBN Singhad College of Engineering, Pune, Department of Electrical Engineering, NBN Singhad College of Engineering, Pune, Department of Electrical Engineering, NBN Singhad College of Engineering, Pune, Department of Electrical Engineering, NBN Singhad College of Engineering, Pune, Department of Electrical Engineering, NBN Singhad College of Engineering, Pune, Maharashtra, Maharashtra, Maharashtra, Maharashtra, Maharashtra, India, India, India, India, India
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Abstract

nIn urban regions, the density of power demand has significantly increased recently. Large-scale subterranean power cable installations are beginning to take the place of overhead transmission lines everywhere in the world because of environmental concerns in highly populated areas. The present project’s primary objective is to use MATLAB to create a simulation model that includes 3ph symmetrical and unsymmetrical defects. Some have proven to be effective in detecting errors while the system is operating. With a few exceptions there hasn’t been much research on fault location methods for line-selection devices in industrial systems that aren’t grounded, including those running at 35 kV and lower.This document describes how to handle MATLAB programming, which is used to create gearbox line models and reenact various problems using tool compartments. Numerous types of defects have been analysed, and the results show up in the simulation output. Examples of these include control, voltage, and current, as well as the positive, negative, and zero grouping parts of the voltage and current output. Consequently, utility is being requested to improve the precision of fault location and fault section discrimination in integrated transmission lines.

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Keywords: Fault detection, 3 phase transmission line, solar and wind energy, matlab simulation

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Electrical Power and Machine Systems(ijepms)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Electrical Power and Machine Systems(ijepms)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Sagar Chaudhari, Varad Gurav, Chinmay Upasani, Suraj Ghule, Sharad S. Patil Efficient Fault Detection in Power Transmission: A Review of Three-Phase Line Fault Detection with Hybrid Energy using MATLAB ijepms January 10, 2024; 01:42-47

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How to cite this URL: Sagar Chaudhari, Varad Gurav, Chinmay Upasani, Suraj Ghule, Sharad S. Patil Efficient Fault Detection in Power Transmission: A Review of Three-Phase Line Fault Detection with Hybrid Energy using MATLAB ijepms January 10, 2024 {cited January 10, 2024};01:42-47. Available from: https://journals.stmjournals.com/ijepms/article=January 10, 2024/view=0

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References

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  1. Akhikpemelo A, Evbogbai MJ, Okundamiya MS. Fault detection on a 132kV transmission line using artificial neural network. Int. Rev. Electr. Eng. 2019 Jun 30;14(3):220–5.
  2. Khoker MZ, Mahela OP, Ahmad G. A current based hybrid algorithm using discrete wavelet transform and Hilbert transform for detection and classification of power system faults in the presence of solar energy. In2020 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS) 2020 Feb 22 (pp. 1–6). IEEE.
  3. Rajesh P, Kannan R, Vishnupriyan J, Rajani B. Optimally detecting and classifying the transmission line fault in power system using hybrid technique. ISA transactions. 2022 Nov 1; 130:253–64.
  4. Deng F, Zeng X, Tang X, Li Z, Zu Y, Mei L. Travelling-wave-based fault location algorithm for hybrid transmission lines using three-dimensional absolute grey incidence degree. International Journal of Electrical Power & Energy Systems. 2020 Jan 1; 114:105306.
  5. Silveira EG, Paula HR, Rocha SA, Pereira CS. Hybrid fault diagnosis algorithms for transmission lines. Electrical Engineering. 2018 Sep; 100:1689–99.
  6. Tîrnovan RA, Cristea M. Advanced techniques for fault detection and classification in electrical power transmission systems: An overview. In2019 8th International Conference on Modern Power Systems (MPS) 2019 May 21 (pp. 1–10). IEEE.
  7. Gao S, Xu Z, Song G, Shao M, Jiang Y. Fault location of hybrid three-terminal HVDC transmission line based on improved LMD. Electric Power Systems Research. 2021 Dec 1; 201:107550.
  8. Ekici S, Unal F, Ozleyen U. Comparison of different regression models to estimate fault location on hybrid power systems. IET Generation, Transmission & Distribution. 2019 Oct;13(20):
    4756–65.
  9. MAMPILLY BJ, SHEEBA V. Transmission Lines Fault Detection using Empirical Mode Decomposition in a Grid-Connected Power System. In2020 International Conference on Power Electronics and Renewable Energy Applications (PEREA) 2020 Nov 27 (pp. 1–6). IEEE.
  10. Wang L, Liu H, Dai LV, Liu Y. Novel method for identifying fault location of mixed lines. Energies. 2018 Jun 12;11(6):1529.
  11. Alrifaey M, Lim WH, Ang CK, Natarajan E, Solihin MI, Juhari MR, Tiang SS. Hybrid deep learning model for fault detection and classification of grid-connected photovoltaic system. IEEE Access. 2022 Jan 4; 10:13852–69.
  12. Elnozahy A, Sayed K, Bahyeldin M. Artificial neural network-based fault classification and location for transmission lines. In2019 IEEE Conference on Power Electronics and Renewable Energy (CPERE) 2019 Oct 23 (pp. 140–144). IEEE.
  13. Hamidi RJ, Livani H. A travelling wave-based fault location method for hybrid three-terminal circuits. In2015 IEEE Power & Energy Society General Meeting 2015 Jul 26 (pp. 1–5). IEEE.
  14. Brahma, Fault location scheme for a multiterminal transmission line using synchronized voltage measurements, IEEE Trans. Power Del., vol. 20, no. 2, pp. 13251331, Apr. 2005.
  15. Liao and Kezunovic, Optimal estimate of transmission line fault location considering measurement errors, IEEE Trans. Power Del. vol. 22, no. 3, pp. 13351341, Jul. 2007.

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Regular Issue Subscription Review Article

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Volume 01
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 01
Received October 24, 2023
Accepted December 21, 2023
Published January 10, 2024

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