Generalized neural network and wavelet transform based approach for fault location estimation of a transmission line

A new scheme to enhance the solution of the problems associated with Transmission line protection with Statcom connected is presentedin this paper.Static Synchronous Compensator (STATCOM) is a shunt type FACTS device connected at the midpoint of the transmission line to maintain the voltage atdesired level by injecting/absorbing the reactive power. This connection affects the performance of distance protection relay during line faults. Thefault detectionis carried out byusingenergy of the detail coefficients of the phase signals and artificial neutral network algorithm used for fault distance location for all thetypes of faults for transmission line. For each type of fault separate neural network is prepared for finding out the fault location.

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Fault location for a series compensated transmission line based on wavelet transform and an adaptive neuro-fuzzy inference system

Proceedings of the 2010 Electric Power Quality and Supply Reliability Conference ◽

10.1109/pq.2010.5549994 ◽

2010 ◽

Cited By ~ 8

Author(s):

El Sayed Mohamed Tag Eldin

Keyword(s):

Wavelet Transform ◽

Transmission Line ◽

Fuzzy Inference System ◽

Fault Location ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy

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Fault Location Estimation in HVDC Transmission Line Using ANN

Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1 - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-319-30933-0_22 ◽

2016 ◽

pp. 205-211 ◽

Cited By ~ 2

Author(s):

Jenifer Mariam Johnson ◽

Anamika Yadav

Keyword(s):

Transmission Line ◽

Fault Location ◽

Location Estimation ◽

Hvdc Transmission

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Fault Location Estimation Algorithm using Local End Data for Transmission Line

10.1109/upcon52273.2021.9667625 ◽

2021 ◽

Author(s):

Snehalatha ◽

Suryanarayana Gangolu

Keyword(s):

Transmission Line ◽

Fault Location ◽

Estimation Algorithm ◽

Location Estimation

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Fault location estimation for series-compensated double-circuit transmission line using EWT and weighted RVFLN

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2019.103336 ◽

2020 ◽

Vol 88 ◽

pp. 103336

Author(s):

Mrutyunjaya Sahani ◽

P.K. Dash

Keyword(s):

Transmission Line ◽

Fault Location ◽

Location Estimation

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The Half-Sine Method: A New Accurate Location Method Based on Wavelet Transform for Transmission-Line Protection from Single-Ended Measurements

Energies ◽

10.3390/en12173293 ◽

2019 ◽

Vol 12 (17) ◽

pp. 3293 ◽

Cited By ~ 1

Author(s):

Susana Martín Arroyo ◽

Miguel García-Gracia ◽

Antonio Montañés

Keyword(s):

Wavelet Transform ◽

Transmission Line ◽

Fault Location ◽

Harmonic Distortion ◽

Accurate Method ◽

Transient Signal ◽

Detection Scheme ◽

Fault Resistance ◽

The Difference ◽

Sine Signal

In this work, a new and accurate method based on the wavelet transform is proposed for fault location in transmission-line systems. The proposed wavelet method consists of the analysis of the transient signal measured at a single end of the transmission line. Aerial current modes are used, and zero modes are included in the fault-detection scheme for low fault-inception angles. The fault distance is evaluated using the wavelet modulus maxima technique and a method based on the response to a half-sine voltage is proposed to overcome drawbacks arising from the limited sampling frequency and low fault-inception angle. The fault distance is calculated using the difference between the time when a 100 kHz half-sine signal is sent and the time when the derivative signal is received. The proposed algorithm is tested considering harmonic distortion and varying fault resistance, ground resistivity, location and inception angle. The high accuracy of the proposed algorithm is obtained even for faults close to the bus and low inception angles.

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