Classification of faults in a hybrid transmission line system with overhead and underground cables

This article deals with the energy transmission line system which feeds from solar energy at the MATLAB Simulink. So, direct voltage is considered to be converted as an alternating voltage by a 35-level inverter after the solar power plant which has the power of 110 MW an produce 360 kV of direct voltage. A line which covers 240 km of distance is preferred to transmit electrical power from the A1 point to an A2 point. Due to this, the required mathematical equations are calculated with a circuit analyzing method for the line modeling in the simulation. Experiments on the model are carried out at the MATLAB Simulink after the creation of an energy transmission line. After that, when measurements are made taking into consideration the A2 node; the capacitor voltage, the transformer current, the A2 node current, and the fault current, values are given according to the converted voltage at the frequencies of 100 Hz, 80 Hz, and 50 Hz. The obtained results demonstrate the success of the proposed line system, while power is distributed with eliminated fault at a long distance at different frequencies.

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Detection and Classification of High Impedance Faults in Transmission Line Using Alienation-based Analysis on Voltage Signals

2018 3rd International Conference for Convergence in Technology (I2CT) ◽

10.1109/i2ct.2018.8529155 ◽

2018 ◽

Cited By ~ 1

Author(s):

Jeet Shah ◽

Sarthak Desai ◽

Abdul Gafoor Shaik

Keyword(s):

Transmission Line ◽

High Impedance ◽

High Impedance Faults

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Analytical & Experimental Analysis of Lightning Stokes Performance & Protection by MOV Based Simulation Model: A 33 KV Transmission Line Case Study

IJEEIT : International Journal of Electrical Engineering and Information Technology ◽

10.29138/ijeeit.v4i1.1236 ◽

2021 ◽

Vol 4 (1) ◽

pp. 41-46

Author(s):

Arsal Mehmood ◽

Huzaifa Hassan ◽

Faraz Ahmed Baig ◽

Suhail Ahmed Shaikh

Keyword(s):

Transmission Line ◽

Power Efficiency ◽

Travelling Waves ◽

Electrical Equipment ◽

Defensive Strategy ◽

Line System ◽

Potential Harm ◽

Fault Clearance

Researchers are working on techniques to mitigate failure rates as low as possible to avoid potential harm, sustain high power efficiency for this a considerable number of estimation studies were already performed and several designs of methodologies were being suggested. The transmission line performs the role of the arteries which maintain the process of transporting electricity in the transmission line. That is why it is important to maintain and manage the costs of these tracks. Surge arrestor and shield wire application are often techniques chosen for defensive strategy in a very technique. By pushing travelling waves towards the electrical equipment mounted on the transmission line, the effects of lightning stoke on the transmission line may cause severe damage to the electrical equipment. In this review, this research study provides a review-based overview of the mechanism of occurrence of lightning along with its impact on the transmission line and the defence methods used to prevent such effects. A MATLAB / SIMULINK 2020a simulation modeling-based analysis for the incidence of lightning on the 33 kV transmission line system is observed in this regard, and a Metal-Oxide surge arrestor-based lightning fault clearance safety scheme is also suggested and discussed.

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Classification and direction discrimination of faults in transmission lines using 1D convolutional neural networks

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v12.i3.pp1928-1939 ◽

2021 ◽

Vol 12 (3) ◽

pp. 1928

Author(s):

Ahmed Thamer Radhi ◽

Wael Hussein Zayer ◽

Adel Manaa Dakhil

Keyword(s):

Neural Network ◽

Neural Networks ◽

Feature Extraction ◽

Transmission Line ◽

Convolutional Neural Networks ◽

Transmission Lines ◽

Fault Classification ◽

Line System ◽

Direction Discrimination ◽

Conventional Methods

<span lang="EN-US">This paper presents a fast and accurate fault detection, classification and direction discrimination algorithm of transmission lines using one-dimensional convolutional neural networks (1D-CNNs) that have ingrained adaptive model to avoid the feature extraction difficulties and fault classification into one learning algorithm. A proposed algorithm is directly usable with raw data and this deletes the need of a discrete feature extraction method resulting in more effective protective system. The proposed approach based on the three-phase voltages and currents signals of one end at the relay location in the transmission line system are taken as input to the proposed 1D-CNN algorithm. A 132kV power transmission line is simulated by Matlab simulink to prepare the training and testing data for the proposed 1D- CNN algorithm. The testing accuracy of the proposed algorithm is compared with other two conventional methods which are neural network and fuzzy neural network. The results of test explain that the new proposed detection system is efficient and fast for classifying and direction discrimination of fault in transmission line with high accuracy as compared with other conventional methods under various conditions of faults.</span>

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Simulation Model and State Analysis of Ship Transmission Line

Polish Maritime Research ◽

10.2478/pomr-2018-0110 ◽

2018 ◽

Vol 25 (s3) ◽

pp. 36-42

Author(s):

Yanzhe Hu ◽

Mengjie Xu ◽

Yang Li

Keyword(s):

Transmission Line ◽

Simulation Model ◽

Normal State ◽

Short Circuit ◽

The State ◽

Sudden Increase ◽

Line System ◽

Voltage Signal ◽

Fault State ◽

Sudden Load

Abstract In order to discuss the simulation model of the ship transmission line and the state of the transmission line, an early fault model is built according to the evolution principle of the short circuit fault of the transmission line and combining with the fault characteristics of the early fault. A small distributed ship transmission line system is built in MATLAB/ Simulink. Then, combined with the constructed fault module, the original short circuit module, and the load module, the various states (normal state, early fault state, severe early fault state, short circuit state) of the ship transmission line are stimulated, and the features of voltage signal in each state is analysed. It is concluded that, due to the normal operation of the ship transmission line system, the variation characteristics of the flow signal and voltage signal caused by the sudden load mutation, that is, the sudden load and the sudden increase load, are very similar to the changes caused by the early fault. Therefore, in order to find a more accurate early fault detection method, the state is divided into normal state, sudden load state, sudden increase and sudden decrease load state.

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