Fault detection of self excited induction generator

Abstract

In isolated and remote area researchers are motivated recently to generate power using wind. Self excited induction generator (SEIG) is selected as a good candidate to extract electric power from wind. In this paper transient performance of SEIG during short circuit fault has been studied. Though SEIG is capable to protect itself from faults, but it is also necessary convey the message to operator about the fault. For this fast detection scheme is essential, in this paper discrete wavelet transform (DWT) and second generation wavelet transform (SGWT) are used for fault detection. It is observed that processing time of SGWT is faster compared to DWT