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Monitoring power quality disturbances under frequency changes using Complex Least Error Squares algorithm

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1 Author(s)
Sadinezhad, I. ; Univ. of Sydney, Sydney, NSW

This paper presents a new complex least error squares (CLES) algorithm for off nominal frequency power quality disturbances detection. First, a new complex least error squares structure is introduced that compresses three phase signals into a complex vector and produces a tuning vector. In the second layer of the filter, estimation of symmetrical components in off nominal frequency condition is carried out by use of the produced tuning vector and least error squares (LES) algorithm. Presented simulations evaluate the accuracy and efficiency of the proposed method.

Published in:

Power Engineering Conference, 2008. AUPEC '08. Australasian Universities

Date of Conference:

14-17 Dec. 2008