Grid-connected induction generator interturn fault analysis using a PCA-ANN-based algorithm

Authors

HAYDAR BAYAR
ÜMİT KEMALETTİN TERZİ

Abstract

It is difficult for short circuits among the internal windings of one phase in electrical machines to be determined in a reliable and speedy manner. The failure currents that occur, especially in short circuits with a few windings, are at such low levels that they cannot be determined by relay systems. This results in growing faults and damage. In this study, we designed a model that can define winding failures successfully at very small levels by using the PCA and ANN algorithms. We tested the real-time faults and measured the system performance with the installed test rig. The developed protection model determined fault determination in very small (2.5%) winding failures with acceptable accuracy. The suggested model is a counter-speed, selective, flexible, and economical protection model that may be used for internal failures of electrical machines. It has a structure that may be used in different systems or kinds of failure with data receiving and software changes.

DOI

10.3906/elk-1312-145

Keywords

PCA, induction generator, faults, protection

First Page

1340

Last Page

1350

Recommended Citation

BAYAR, HAYDAR and TERZİ, ÜMİT KEMALETTİN (2016) "Grid-connected induction generator interturn fault analysis using a PCA-ANN-based algorithm," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24: No. 3, Article 46. https://doi.org/10.3906/elk-1312-145
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss3/46