Linear Kalman Filter-Based Grid Synchronization Technique: An Alternative Implementation

Ahmed, Hafiz and Biricik, Samet and Benbouzid, Mohamed (2020) Linear Kalman Filter-Based Grid Synchronization Technique: An Alternative Implementation. IEEE Transactions on Industrial Informatics. ISSN 1551-3203

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Abstract

Grid synchronization techniques play a significant role in integrating renewable energy sources to the electric power grid. In this context, estimating the phase and frequency of the grid voltage signal is an interesting problem. Out of various techniques available in the literature, Linear Kalman Filter (LKF) is one of the most popular one. In this paper, we propose an alternative implementation of the LKF for grid synchronization application. The proposed implementation uses a linear parametric model of the grid voltage signal including DC offset. It does not involve any quadrature signal generation, rather it works by estimating the phase angle. This helps to estimate the unknown grid frequency directly from the phase angle. This clearly differentiates the proposed alternative implementation with respect to the existing implementations. Performance improvement by the proposed technique is verified extensively through comparative numerical simulation and experimental studies. Comparative results demonstrate the suitability of the proposed technique with respect to other state-of-the-art techniques namely SecondOrder Generalized Integrator Phase-Locked Loop (SOGI-PLL) and Enhanced Phase-Locked Loop (EPLL).

Item Type: Article
Identification Number: https://doi.org/10.1109/TII.2020.3019790
Date: 27 August 2020
Uncontrolled Keywords: Grid Synchronization, Linear Kalman Filter, DC Offset, Phase Estimation, Frequency Estimation
Subjects: H600 Electronic and Electrical Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment > Advanced Systems Engineering
Depositing User: Hafiz Ahmed
Date Deposited: 13 Oct 2020 12:47
Last Modified: 13 Oct 2020 12:47
URI: http://www.open-access.bcu.ac.uk/id/eprint/10024

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