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Journal ArticleDOI

Artificial neural network approach to distance protection of transmission lines

Denis Vinicius Coury, +1 more
- 01 Jan 1998 - 
- Vol. 13, Iss: 1, pp 102-108
TLDR
The use of an artificial neural network as a pattern classifier for a distance relay operation that utilizes the magnitudes of three phase voltage and current phasors as inputs is demonstrated.
Abstract
A distance relay for the protection of transmission lines is usually designed on the basis of fixed settings. The reach of such relays is therefore affected by the changing network conditions. The implementation of a pattern recognizer for power system diagnosis can provide great advances in the protection field. This paper demonstrates the use of an artificial neural network as a pattern classifier for a distance relay operation. The scheme utilizes the magnitudes of three phase voltage and current phasors as inputs. An improved performance with the use of an artificial neural network approach is experienced once the relay can operate correctly, keeping the reach when faced with different fault conditions as well as network configuration changes.

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Citations
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Journal ArticleDOI

Application of RBF neural network to fault classification and location in transmission lines

TL;DR: In this article, the application of radial basis function (RBF) neural networks for fault classification and location in transmission lines is presented, where instantaneous current/voltage samples have been used as inputs to artificial neural networks (ANNs).
Journal ArticleDOI

Stand alone intelligent digital distance relay

TL;DR: From the main factors which affect the ideal digitaldistance relay operating region, a stand alone intelligent digital distance relay which can adapt to these changes is presented and does not need communication links from the remote end of the line or the system control center.
Journal ArticleDOI

A novel fuzzy neural network based distance relaying scheme

TL;DR: This paper presents a new approach to distance relaying using fuzzy neural network (FNM), which provides robust and accurate classification/location of faults for a variety of power system operating conditions even with resistance in the fault path.
Journal ArticleDOI

A Fault Classification Method by RBF Neural Network with OLS Learning Procedure

TL;DR: It is shown that the RBF approach can provide a fast and precise operation for various faults and can be used as an effective tool for high speed relaying.
Journal ArticleDOI

Application of minimal radial basis function neural network to distance protection

TL;DR: The paper presents a new approach for the protection of power transmission lines using a minimal radial basis function neural network (MRBFNN) using a sequential learning procedure to determine the optimum number of neurons in the hidden layer without resorting to trial and error.
References
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Journal ArticleDOI

Neural network based short term load forecasting

TL;DR: In this article, the results of a study to investigate whether the ANN model is system dependent, and/or case dependent, are presented and the effectiveness of a next 24 h ANN model in predicting 24-hour load profile at one time was compared with the traditional next 1-hour ANN model.
Journal ArticleDOI

Neural network approach to fault classification for high speed protective relaying

TL;DR: A new approach to fault classification for high speed protective relaying based on the use of neural network architecture and implementation of digital signal processing concepts is presented and its effectiveness in computer simulations on parallel transmission lines is shown.
Journal ArticleDOI

Design, implementation and testing of an artificial neural network based fault direction discriminator for protecting transmission lines

TL;DR: A fault direction discriminator that uses an artificial neural network (ANN) for protecting transmission lines and is suitable for realizing an ultrafast directional comparison protection of transmission lines is described.
Journal ArticleDOI

Application of Kalman Filtering in Computer Relaying

TL;DR: A new technique for modelling the signal and the measurements is developed based on Kalman Filtering theory for the optimal estimation of the 60 Hz information and results indicate that the technique converges to the true 60 Hz quanitities faster than other algorithms that have been used.
Journal ArticleDOI

Fourier and Walsh digital filtering algorithms for distance protection

TL;DR: A comparative evaluation of different digital filtering algorithms for distance protection based on Fourier and Walsh transforms is performed, and includes a recently proposed combined sine-cosine filter.
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