Proceedings ArticleDOI
Transmission Line Fault Detection in Presence of Wind Turbine Using Wavelet Transform
Aditya Sabat,Simron Kumari Gouda,Basanta K. Panigrahi,Pratik Kumar Sahoo,Abhilasha Dash,Prakash K. Ray +5 more
- Vol. 2018, pp 1-4
TLDR
This paper deals with the detection of fault in the presence of wind turbine by using Wavelet Transform and simulation of power system model in MATLAB Simulink environment.Abstract:
For a reliable power system operation, protection is an important aspect. This is very critical present day issue. The fault occurs in Transmission line, Bus bars, Generators and Transformers but the nature of the faults often change in existence of renewable energy sources. The relaying systems always check the behavior of current and voltage in the power system and give commands.This paper deals with the detection of fault in the presence of wind turbine by using Wavelet Transform. Faults like Single line to Ground(LG), Two lines to Ground(LLG), Three lines to Ground(LLLG) has been examined. The work done in this paper includes simulation of power system model in MATLAB Simulink environment.read more
Citations
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Proceedings ArticleDOI
A Novel Pilot Protection Scheme for Wind Farm Transmission Line Based on Harmonic Content Ratio
Zilin Chen,Yuping Lu +1 more
TL;DR: A novel pilot protection scheme based on harmonic content ratio for wind farm transmission line protection that can solve the performance degradation problem of the power frequency phasor based protection.
Proceedings ArticleDOI
Protection Scheme for Utility Network with Wind Power Generation
TL;DR: In this paper, a protection scheme method (PSM) is proposed to detect faulty condition on utility grid with wind power generation, which is based on decomposition of currents using Hilbert transform (HT), Stockwell transform (ST), and Alienation coefficient (ACF).
Proceedings ArticleDOI
Protection Scheme for Utility Network with Wind Power Generation
TL;DR: In this paper , a protection scheme method (PSM) is proposed to detect faulty condition on utility grid with wind power generation, which is based on decomposition of currents using Hilbert transform (HT), Stockwell transform (ST), and Alienation coefficient (ACF).
Proceedings ArticleDOI
Convolutional Neural Network Based Fault Detection for Transmission Line
TL;DR: A novel fault detection method based on Convolutional Neural Networks in which the current vs. time graph of all faults is used as input for the image classifier, revealing that the convolutional neural network performs well for all types of faults.
Journal ArticleDOI
Fault Detection and Classification to Design a Protection Scheme for Utility Grid with High Penetration of Wind and Solar Energy
TL;DR: In this article , the authors designed a protection scheme for utility grid with high share of renewable energy (RE) generated from wind energy and solar energy plants based on extraction of features from the current using Stockwell transform (ST), Hilbert transform (HT), and alienation coefficient.
References
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Journal ArticleDOI
Support Vector Machines for classification and locating faults on transmission lines
TL;DR: A new approach to classify fault types and predict the fault location in the high-voltage power transmission lines, by using Support Vector Machines (SVM) and Wavelet Transform (WT) of the measured one-terminal voltage and current transient signals.
Journal ArticleDOI
Fast fault detection and classification based on a combination of wavelet singular entropy theory and fuzzy logic in distribution lines in the presence of distributed generations
TL;DR: In this article, a new method of fault detection and classification in asymmetrical distribution systems with dispersed generation to detect islanding and perform protective action based on applying a combination of wavelet singular entropy and fuzzy logic.
Journal ArticleDOI
Novel filter based ANN approach for short-circuit faults detection, classification and location in power transmission lines
TL;DR: A hybrid framework consisting of a proposed two-stage finite impulse response (FIR) filter, four support vector machines (SVMs), and eleven support vector regressions (SVRs) is implemented in Proteus 6/MATLAB environments and can rapidly detect, classify and locate short-circuit faults in power transmission lines before power outage carried out by protection relays.
Journal ArticleDOI
A systematic fuzzy rule based approach for fault classification in transmission lines
TL;DR: A systematic fuzzy rule base is developed for fault classification in transmission line using a systematic fuzzyRule based approach, reducing the redundancies and complexities involved compared to Heuristic fuzzy rule-based approach.
Journal ArticleDOI
All shunt fault location including cross-country and evolving faults in transmission lines without fault type classification
Aleena Swetapadma,Anamika Yadav +1 more
TL;DR: In this article, a fault location algorithm which does not need to classify the fault type before location estimation is presented, which can locate all types of shunt faults including the cross-country and evolving faults.