Title :
An Innovative Loss-of-Excitation Protection Based on the Fuzzy Inference Mechanism
Author :
De Morais, Adriano P. ; Cardoso, Ghendy ; Mariotto, L.
Author_Institution :
Ind. Tech. Coll. of Santa Maria (CTISM), Santa Maria, Brazil
Abstract :
A new loss-of-excitation protection based on fuzzy set theory has been presented. It makes use of conventional concepts of loss-of-excitation protection in synchronous generators (i.e., the behavior of internal voltage and apparent impedance trajectory). Instead of crisp values, a fuzzy inference mechanism is applied. To show the effectiveness of the proposed technique, comparisons are made with traditional protection methods by considering different generators sizes. The protection scheme proposed displays a secure and effective high-speed loss-of-excitation detection during power swings. Furthermore, the performance of the proposed method was not affected by generator parameters.
Keywords :
electric machine analysis computing; fuzzy reasoning; fuzzy set theory; machine protection; synchronous generators; fuzzy inference mechanism; fuzzy set theory; high-speed loss-of-excitation detection; innovative loss-of-excitation protection; power swings; synchronous generators; Delay effects; Fuzzy set theory; Impedance; Inference mechanisms; Reactive power; Synchronous generators; Fuzzy set theory; generator protection; loss-of-excitation protection;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2010.2051462