Title :
Wind turbines protection improvement using artificial neural networks
Author :
Sadati, A.M. ; Niassati, N. ; Nassiri, B. ; Karegar, H. Kazemi
Author_Institution :
Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran, Iran
Abstract :
Wind turbines influence the short circuit current in a way, which changes the conventional protection methods of the distribution networks. One of the effects wind turbines is the sudden drop of short circuit current, in a small time duration after the fault occurrences, as the value of fault current reduces to a value below the pickup current of overcurrent protection. In this study, the mentioned problem is discussed and moreover, a novel fault protection technique, based upon shifting the function curve of the relay is introduced. The main idea behind this novel scheme is reducing the amount of pickup current precisely, using an artificial neural network. In order to investigate the feasibility of the proposed scheme a wind power generation system, connected to a distribution network is modeled and investigated in MATLAB/Simulink environment, and the results indicate that the novel technique possesses good fault detection abilities.
Keywords :
fault diagnosis; neural nets; overcurrent protection; power engineering computing; power generation faults; power generation protection; relay protection; short-circuit currents; wind turbines; MATLAB-Simulink environment; artificial neural networks; distribution networks; fault detection abilities; fault protection technique; function curve; overcurrent protection; pickup current; short circuit current; wind power generation system; wind turbines protection improvement; Artificial neural networks; Circuit faults; Integrated circuit modeling; Relays; Short circuit currents; Wind power generation; Wind turbines; Artificial Neural Network; Fault Detection Relay; Fault Detection Time; Three-phase fault; Wind Power Generation System;
Conference_Titel :
Smart Grids (ICSG), 2012 2nd Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-1399-5