Global Advanced Research Journal of Engineering, Technology and Innovation (GARJETI) SSN: 2315-5124 February 2013 Vol. 2(2), pp 069-075
Copyright © 2013 Global Advanced Research Journals
Original Research Articles
New Adaptive Method for Voltage Sag and Swell Detection
Mansour A. Mohamed
Department of Electrical Engineering Assiut University, Assiut, Egypt
Accepted 17 November 2012
This paper presents an adaptive recursive least squares algorithm (ARLS) for detecting the voltage sag and voltage swell events in power systems. Different methods have been developed to detect voltage sag and swell. Some of them use a window technique, which are too slow when voltage sag or swell mitigation is required. Others depend on the extraction of a single non-stationary sinusoidal signal out of a given multi-components input signal, and therefore they don’t consider the harmonic components in calculating the voltage root mean square value(rms). The method, proposed in this paper, is capable of estimating the voltage rms taking into account all harmonic components. The method is tested by applying it to different, simulated signals using ATP program, and compared with voltage sag detection algorithms.
Keywords: Power quality monitoring, Adaptive algorithm, Harmonics, Voltage sag , Voltage swell.