Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systems

This article studies the problem of fundamental frequency positive-sequence component separation in unbalanced three-phase systems for grid-integration applications. We propose a-simple-to-implement approach involving a modified delayed signal cancellation method and moving average filtering. A dela...

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Main Authors: Hafiz Ahmed, Rosane Ushirobira, Denis Efimov
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722020789
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author Hafiz Ahmed
Rosane Ushirobira
Denis Efimov
author_facet Hafiz Ahmed
Rosane Ushirobira
Denis Efimov
author_sort Hafiz Ahmed
collection DOAJ
description This article studies the problem of fundamental frequency positive-sequence component separation in unbalanced three-phase systems for grid-integration applications. We propose a-simple-to-implement approach involving a modified delayed signal cancellation method and moving average filtering. A delay-based linear-regression framework is considered to make the sequence component separation frequency-adaptive, providing fast and accurate frequency estimation. Comparative experimental results demonstrate the suitability of the proposed method over conventional approaches.
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spelling doaj.art-9466c50e55224bc4b617cfcc1d0905542023-01-16T04:08:29ZengElsevierEnergy Reports2352-48472022-11-018357363Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systemsHafiz Ahmed0Rosane Ushirobira1Denis Efimov2Nuclear Futures Institute, Bangor University, Bangor LL57 1UT, UK; Corresponding author.Inria, Univ. Lille, CNR, UMR 9189 CRIStAL, F-59000 Lille, FranceInria, Univ. Lille, CNR, UMR 9189 CRIStAL, F-59000 Lille, FranceThis article studies the problem of fundamental frequency positive-sequence component separation in unbalanced three-phase systems for grid-integration applications. We propose a-simple-to-implement approach involving a modified delayed signal cancellation method and moving average filtering. A delay-based linear-regression framework is considered to make the sequence component separation frequency-adaptive, providing fast and accurate frequency estimation. Comparative experimental results demonstrate the suitability of the proposed method over conventional approaches.http://www.sciencedirect.com/science/article/pii/S2352484722020789Sequence estimationUnbalanced voltageDelayed signal cancellation
spellingShingle Hafiz Ahmed
Rosane Ushirobira
Denis Efimov
Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systems
Energy Reports
Sequence estimation
Unbalanced voltage
Delayed signal cancellation
title Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systems
title_full Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systems
title_fullStr Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systems
title_full_unstemmed Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systems
title_short Robust estimation of fundamental frequency positive-sequence component for grid-integration applications in energy systems
title_sort robust estimation of fundamental frequency positive sequence component for grid integration applications in energy systems
topic Sequence estimation
Unbalanced voltage
Delayed signal cancellation
url http://www.sciencedirect.com/science/article/pii/S2352484722020789
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AT rosaneushirobira robustestimationoffundamentalfrequencypositivesequencecomponentforgridintegrationapplicationsinenergysystems
AT denisefimov robustestimationoffundamentalfrequencypositivesequencecomponentforgridintegrationapplicationsinenergysystems