Transmission line fault detection
Transmission line fault detection phase selection using ANN
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A novel application of neural network approach to protection of transmission line is demonstrated in this paper. Different system faults on a protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of neural
Transmission line fault detection and classification using discrete wavelet transform and artificial neural network
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Fault diagnosis is a major area of investigation for power system and intelligent system applications. When the fault occurs on the transmission lines, the current and voltage waveforms contain significant high frequency transient signals. This paper presents a
An Overview of Transmission Line Fault Detection Techniques
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Transmission line is the most significant a part of the power system. Transmission lines a principal quantity of power. the need of power and its allegiance has mature up exponentially over the fashionable era, and also the major role of a cable is to transmit
Transmission line fault detection using wavelet transform
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Proper detection of various faults occurring on the transmission line is very essential. In this paper, detection and classification of some these faults is done based on the information conveyed by the wavelet analysis of power systems transients. Maximum norm values
Wavelet-based method for transmission line fault detection and classification during power swing
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Power swing caused by various disturbances will affect distance relay behavior and result in relay misoperation. This paper provides a new wavelet-based method for detection and classification of transmission line faults during power swing. The multi-resolution
Fault detection and classification for transmission line protection system using artificial neural network
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The artificial neural network is a powerful tool for the detection of the transmission line faults due to its ability to differentiate between various patterns. This paper deals with the application of artificial neural networks (ANNs) to the fault detection and classification in high
A comparison of different mother wavelet for fault detection classification of series compensated transmission line
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This paper proposes a Comparison for Different Mother Wavelet For Fault Detection Classification of Series Compensated Transmission Line . Voltages and currents with fault signal can be properly analyzed by using the wavelet transform. However, the effectiveness
Six phase transmission line boundary fault detection using mathematical morphology
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This paper presents a mathematical morphology based boundary protection scheme for the detection of close-in and remote-end faults that occur on six phase transmission line . A 400 kV, 50 Hz six phase transmission line of 200 km length has been simulated using MATLAB In this paper, an optimal wavelet operated single index-based relay is proposed for power transmission line protection. Apart from existing usage of wavelet transform in fault detection studies, swarm assistance is provided for optimal setting of threshold values for
Simulation of fault detection for protection of transmission line using neural network
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Transmission line among the other electrical power system component suffer from unexpected failure due to various random causes. Because transmission line is quite large as it is open in environment. A fault occurs on transmission line when two or more
Fault detection and classification in transmission line using DWT and ANFIS techniques
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This paper proposes Discrete Wavelet Transform (DWT) and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques for fault detection , classification and detection of faulty phase in the transmission line . The detection is done by computing the energy values and
Simulation and Analysis of Transmission Line Fault Detection and Location Using Fuzzy Logic
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Fault detection in transmission line is very necessary for regulating the power system. If fault occur on transmission then the system is distorted. At the condition many types of relay are also used for detecting and disconnect the transmission line from the system. Here the
A Comparison of Transmission Line Fault Detection Methods
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Nowadays, the on- line monitoring of electric power systems has motivated several studies toward performing realtime implementations and evaluations of fault detection methods. The aim of this paper is to present details about real-time implementations of two digital fault
Wavelet Transform Based Fault Detection and Classification in Transmission Line
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This paper presents a Wavelet Transform based approach to detect and classify different shunt faults that occur in transmission lines. The algorithm is based mainly on calculating the RMS values of the wavelet coefficients of current signals at both the ends of
Sub- Line Transient Magnetic Fields Calculation Approach for Fault detection , classification and location of High Voltage Transmission Line
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This paper uses ATP/EMTP to simulate different fault types as single line to ground fault , three phases to ground fault , double line fault , direct lightning strokes, and flashover for Egyptian Bassous-Cairo West 500 kV transmission line single circuit. By using 3D Biot
Fault detection and classification of 3 phase transmission line
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Three phase transmission line are soul of power system. In this paper different types of fault are classified in the three phase transmission line . In the present scenario the both end ratios are considered for the data acquisition of voltage and currents. This states are
Detection of fault in fixed series compensated transmission line during power swing using wavelet transform
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At the time of power swing the measured impedance lies inside the relay operating region. There is undesired tripping of Distance relay during power swing without having any fault . So relay must be blocked must trip after a fault occur during power swing. This paper
Autonomous Approach for High Voltage Transmission Line Inspection and Fault Detection
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High Voltage Transmission line inspection and maintenance is an extremely dangerous employment due to the reason that such tasks are performed at high altitudes around high magnitude voltages. In countries like Sri Lanka, this employment has caused the demise of
Transmission Line Fault Detection using IoT
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The fault occurred in transmission line is very much dangerous for the locality. In HV and EHV transmission line there are less fault occurrence but in locality the fault occurrence is more as compared to outer transmission line . In our prototype we design a model which is to
Wavelet-Based ANN Approach For Fault Detection Classification and Location in Transmission line
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A new approach of digital relays for transmission line protection is presented. The proposed technique consists of a preprocessing module based on Discrete Wavelet Transforms (DWTs) in combination with an artificial neural network (ANN) for detecting and classifying
Transmission Line Fault Detection Using Synchrophasor
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The accuracy in fault detection and location is always a challenge for a power system engineer. The current differential protection has the highest reliability among all types of protection scheme, but it is not being used for transmission line protection because of certain
Lightning detection improvement FALLS brought to Eskoms transmission line design and fault analysis
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Lightning contributes around 24% to Eskom Transmissions total transmission line faults. Measures have been taken over the past decades to combat this effect of lightning on the performance of high voltage transmission lines and these measures are usually taken after
Context-Aware Query for High-Voltage Transmission Line Fault Detection using Wireless Sensor Network
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Due to vandalism or weather conditions, disruption or damage in high voltage transmission line insulators occur, causing a risk to the electricity supply for many cities. Studies show that the insulators states can be known by the value of the leakage current which
Transmission line fault detection location using discrete wavelet transform (DWT) and artificial neural network (ANN)
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T his paper presents a new fault detector and locator scheme based on (DWT) and (ANN) for transmission lines. The main idea is to estimate faults detection , faultedphases distinguishing and faults location. These processes are obtained by calculatingstandard
Wavelet Feature Based Fault Detection and Classification Technique for Transmission line Protection
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In the present scenario, the efficiency of a power system depends on how a fault is accurately detected and classified, so that quick restoration and maintenance of power is accomplished. Fault detection , fault classification, needs to be performed using a fast and
TECHNOLOGY A SYSTEMATIC APRROACH FOR FAULT DETECTION AND LOCATION IN HVDC TRANSMISSION LINE USING WAVELET TRANSFORM
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Transmission of electrical power through High Voltage Direct Current (HVDC) system has no doubt first choice for the long transmission of electricity all over the world. The HVDC transmission system having important parameters like controllability of power flow, economy
A REVIEW ON HVDC TRANSMISSION LINE FAULT LOCATION DETECTION WITH DIFFERENT ANN TECHNIQUES
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Every transmission system is somehow exposed to different fault conditions. Such faults if leads to permanent damage to system lead to interference in power supply which will lead to power outrage in any area. Resolving such cases needs manual attention from
Detection of Fault Location in Transmission Line using Internet of Things (IOT)
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Transmission lines are used to transmit electric power to distant large load centres. These lines are exposed to faults as a result of lightning, short circuits, faulty equipments, miss- operation, human errors, overload, and aging. To avoid this situation, and we need the exact
Transmission Line Protection Scheme for Fault Detection , Classification and Location Using ANN
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A hybrid transmission lines protection scheme base on ANN is proposed in this paper. The hybrid transmission lines consists of two sections; overhead transmission line and underground cable. It uses the current and voltage measured from both terminal of the
Fast and Accurate Fault Detection in Transmission Line using Wavelet Transform
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An accurate fault detection and classification is required to transmit power from generating station to various load centres reliably. A new approach for fault detection for interconnected system using the time synchronized phasor measurements. The scheme is depending on
Fault Detection Location on a Transmission line Using GPS Synchronized Phasor Measurement
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In order to reduce damage of transmission line due to fault , reliable, high-speed, sensitive and dependable protection system is a primary requirement of todays interconnected power system. Accurate pin-pointing of fault location and diagnosis is also required to expedite
IMPROVING FAULT DETECTION OF TRANSMISSION LINE WITH BIG DATA
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The capability to prevent faults in different devices is most important nowadays for normal operation and reliability of power transmission system. In industry, widespread rates and scales of data are being generated fast and from multiple sources. Gathering and analysis of
NOVEL FAULT DETECTION ON THREE-PHASE TRANSMISSION LINE USING MODIFIED ARTIFICIAL NEURAL NETWORK WITH WAVELET BASED
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Fault type identification and fault distance calculation are the major phases of reliability improvisation in power transmission in terms of fault restoration. This paper proposes a novel approach for fault discovery of three-phase double transmission line , which is
A New High-Speed Fault Detection Scheme for Transmission Line Based on Traveling Wave
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This paper presents a new fault detection scheme for transmission line based on traveling wave. Using two-terminal synchronized measurements of voltages and currents of all phases, fault detection index is derived. To eliminate the effect of post- fault values on the
Microcontroller based Monitoring and control of Fault Detection in Transmission Line using Proteus software
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The electric power system is becoming more complex with increasing demand in electricity. Hence there is a need of effective control system to make the power system safer, efficient and reliable. This power is being carried by the transmission lines. These lines travel veryFault detection during power swing is a critical task as relays remain blocked leaving the system unprotected. Power swing in general is symmetrical, but asymmetrical power swing occurs during single-phase auto-reclosing operation. Both the power swings severely affect
A Novel Protection Method for Unsymmetrical Fault Detection of Overhead Transmission Line by Using DWT
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Now a days, Most of the faults that occur on power systems are Unsymmetrical faults. Since any unsymmetrical fault causes unbalanced currents to flow in the system. The new protection method is based on the measurements and analysis of the currents, voltages
ANN based Fault Detection and Classification of Double Circuit Transmission Line using only One Terminal Data
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An accurate fault detection and classification algorithm based on application of artificial neural networks (ANN) for protection of double circuit transmission lines is presented in this research paper. The proposed method uses the magnitude and phase angle of current
Power Swing Protection of Series Compensated Transmission Line with Fault Detection Classification and Location
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Power swing is nothing but large disturbance of power or lost of equilibrium in the flow of power due to sudden change in system voltage and or current. During power swing if voltage and current chances with a frequency f, then the power will change with a frequency
Self-Sustaining Autonomous System for High Voltage Transmission Line Inspection and Fault Detection in Sri Lanka
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High Voltage Transmission line inspection and maintenance is an extremely dangerous employment due to the reason that such tasks are performed at high altitudes around high magnitude voltages. In countries like Sri Lanka, this employment has caused the demise of