Title :
A New Method for Adaptive Distance Relay Setting in the Presence of SSSC using Neural Networks
Author :
Rastegar, Hasan ; Khansaryan, Amir P.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
Abstract :
The control parameters of static synchronous series compensator (SSSC) can significantly influence the apparent impedance seen by a distance relay, thus making it over-reach or under-reach for different cases. In this paper, a new method for setting the distance relays in the presence of SSSC for a first zone protection is presented. This paper reveals the problem imposed by SSSC and suggests a neural network-based approach as a solution. The boundaries of the relay operation characteristic are modified according to the control parameters of SSSC to avoid incorrect operations of the distance relay. Artificial neural networks (ANNs) have been used for the task
Keywords :
neural nets; power engineering computing; power system protection; relay protection; static VAr compensators; adaptive distance relay setting; artificial neural networks; first zone protection; static synchronous series compensator; Artificial neural networks; Flexible AC transmission systems; Impedance; Inverters; Neural networks; Power system protection; Power system relaying; Power transmission lines; Protective relaying; Voltage;
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
DOI :
10.1109/ICIEA.2006.257122