Adaptive frequency estimation of three-phase power systems with noisy measurements
Date
2013
Authors
Arablouei, R.
Werner, S.
Doğançay, K.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference), 2013, pp.2848-2852
Statement of Responsibility
Conference Name
2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (26 May 2013 - 31 May 2013 : Canada)
Abstract
We examine the problem of estimating the frequency of a three-phase power system in an adaptive and low-cost manner when the voltage readings are contaminated with observational error and noise. We assume a widely-linear predictive model for the αβ complex signal of the system that is given by Clarke's transform. The system frequency is estimated using the parameters of this model. In order to estimate the model parameters while compensating for noise in both input and output of the model, we utilize the notions of total least-squares fitting and gradient-descent optimization. The outcome is an augmented gradient-descent total least-squares (AGDTLS) algorithm that has a computational complexity comparable to that of the complex least mean square (CLMS) and the augmented CLMS (ACLMS) algorithms. Simulation results demonstrate that the proposed algorithm provides significantly improved frequency estimation performance compared with CLMS and ACLMS when the measured voltages are noisy and especially in unbalanced systems.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2013 IEEE