Parameter estimation of harmonics-polluted single-phase grid voltage signal

Miao Lin Pay, Hafiz Ahmed

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)
    36 Downloads (Pure)

    Abstract

    Estimation of instantaneous phase and frequency of harmonics-polluted single-phase grid voltage signal have been studied in this paper. The proposed approach uses a frequency adaptive Luenberger-sliding mode observer. Using Lyapunov stability theory, a frequency adaptation law has been proposed. The proposed frequency adaptive observer technique is robust against various perturbations faced in the practical settings, e.g., discontinuous jump of phase, frequency and amplitude. Global stability analysis of the closed-loop observer has been performed. Experimental results demonstrate the effectiveness of the proposed technique over a state-of-the-art technique proposed in the literature.
    Original languageEnglish
    Pages (from-to)1351-1359
    Number of pages9
    JournalElectrical Engineering
    Volume102
    Issue number3
    Early online date27 Feb 2020
    DOIs
    Publication statusPublished - 1 Sept 2020

    Bibliographical note

    The final publication is available at Springer via http://dx.doi.org/10.1007/s00202-020-00956-1

    Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

    Keywords

    • Power system
    • Phase estimation
    • Frequency estimation
    • PLL
    • Adaptive observer

    Fingerprint

    Dive into the research topics of 'Parameter estimation of harmonics-polluted single-phase grid voltage signal'. Together they form a unique fingerprint.

    Cite this