Title :
Digital Protection of Power Transformer Based on Weighted Least Square Algorithm
Author :
Rahman, M.A. ; Dash, P.K. ; Downton, E.R.
Author_Institution :
Faculty of Engineering and Applied Sciences, Memorial University of Newfoundland, St. John´´s, Newfoundland, Canada
Abstract :
The paper presents a new weighted least-square scheme for differential protection of power transformers using digital techniques. The differential current waveform is modeled as a sum of decaying de, fundamental and selected higher harmonic components. The model coefficients are established by using a least-square filtering technique for the sampled data. A root mean square error criterion is established to select the proper harmonic orders, data window, weighting matrix and sampling rate for fast detection of internal faults and high restraint against energizing transients in transformers. A variety of simulated waveforms is presented to highlight the important features of this algorithm. The results clearly demonstrate the efficacy and weakness of the weighted least square model.
Keywords :
Circuit faults; Fault currents; Filtering; Least squares methods; Power harmonic filters; Power transformers; Power transmission lines; Root mean square; Sampling methods; Surge protection;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.1982.5519821