This work presents the development and implementation of an artificial neural network based algorithm for transmission lines distance protection. This algorithm was developed to be used in any transmission line regardless of its configuration or voltage level. The described ANN-based algorithm does not need any topology adaptation or ANN parameters adjustment when applied to different electrical systems. This feature makes this solution unique since all ANN-based solutions presented until now were developed for particular transmission lines, which means that those solutions cannot be implemented in commercial relays. (c) 2011 Elsevier Ltd. All rights reserved
This thesis proposes a novel approach to the protection of series compensated transmission lines by ...
This paper addresses the problems encountered by conventional distance relays when protecting double...
The demand for electricity is ever increasing. To meet this ever increasing demand, six phase line c...
This work presents the development and implementation of an artificial neural network based algorith...
This paper presents an articial neural network- (ANN) based approach to improve the performance of t...
Traditional electromechanical distance relays used for protection of transmission lines are prone to...
That the artificial neural network (ANN) can perform the pattern classification in excellent fashion...
Contemporary power systems are associated with serious issues of faults on high voltage transmission...
Abstract — This research paper study the performance of distance relays setting based analytic (AM) ...
There has been significant development in the area of neural network based power system protection i...
There has been significant development in the area of neural network based power system protection i...
Successful applications of neural networks in electrical power systems have demonstrated that this p...
This thesis deals with the design of an Artificial Neural Network (ANN) based relay for transmission...
Abstract- Transmission lines, among the other electrical power system components, suffer from unexpe...
Power systems are susceptible to faults due to system failures or natural calamities. This could be ...
This thesis proposes a novel approach to the protection of series compensated transmission lines by ...
This paper addresses the problems encountered by conventional distance relays when protecting double...
The demand for electricity is ever increasing. To meet this ever increasing demand, six phase line c...
This work presents the development and implementation of an artificial neural network based algorith...
This paper presents an articial neural network- (ANN) based approach to improve the performance of t...
Traditional electromechanical distance relays used for protection of transmission lines are prone to...
That the artificial neural network (ANN) can perform the pattern classification in excellent fashion...
Contemporary power systems are associated with serious issues of faults on high voltage transmission...
Abstract — This research paper study the performance of distance relays setting based analytic (AM) ...
There has been significant development in the area of neural network based power system protection i...
There has been significant development in the area of neural network based power system protection i...
Successful applications of neural networks in electrical power systems have demonstrated that this p...
This thesis deals with the design of an Artificial Neural Network (ANN) based relay for transmission...
Abstract- Transmission lines, among the other electrical power system components, suffer from unexpe...
Power systems are susceptible to faults due to system failures or natural calamities. This could be ...
This thesis proposes a novel approach to the protection of series compensated transmission lines by ...
This paper addresses the problems encountered by conventional distance relays when protecting double...
The demand for electricity is ever increasing. To meet this ever increasing demand, six phase line c...