A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions

This paper presents a self-tuning filter (STF)-based adaptive linear neuron (ADALINE) reference current generation algorithm to enhance the operation of a three-phase three-level neutral-point diode clamped (NPC) inverter-based shunt active power filter (SAPF) under non-ideal (unbalanced and/or distor...

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Main Authors: Yap, Hoon, Mohd Radzi, Mohd Amran, Hassan, Mohd Khair, Mailah, Nashiren Farzilah
Format: Article
Language:English
Published: MDPI 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60730/1/A%20self-tuning%20filter-based%20adaptive%20linear%20neuron%20approach%20for%20operation%20of%20three-level%20inverter-based%20shunt%20active%20power%20filters%20under%20non-ideal%20source%20voltage%20conditions.pdf
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author Yap, Hoon
Mohd Radzi, Mohd Amran
Hassan, Mohd Khair
Mailah, Nashiren Farzilah
author_facet Yap, Hoon
Mohd Radzi, Mohd Amran
Hassan, Mohd Khair
Mailah, Nashiren Farzilah
author_sort Yap, Hoon
collection UPM
description This paper presents a self-tuning filter (STF)-based adaptive linear neuron (ADALINE) reference current generation algorithm to enhance the operation of a three-phase three-level neutral-point diode clamped (NPC) inverter-based shunt active power filter (SAPF) under non-ideal (unbalanced and/or distorted) source voltage conditions. SAPF is an effective and versatile mitigation tool for current harmonics. As for its controller, ADALINE-based reference current generation algorithmd have widely been applied and proven to work effectively under balanced and purely sinusoidal source voltage conditions. However, no work has been conducted to study its performance under non-ideal source voltage conditions. In this work, a STF-based fundamental voltage extraction algorithm is integrated with an ADALINE algorithm, serving as synchronizer algorithm to ensure in-phase operation of the generated reference current with the non-ideal source voltage. Hence, it completely eliminates any dependency on conventional synchronizer algorithms such as phase-locked loop (PLL) and zero-crossing detector (ZCD). Additionally, the proposed STF-based ADALINE algorithm implements the modified Widrow-Hoff (W-H) weight updating algorithm for fast generation of reference current. Both simulation and experimental works are performed to verify design concept and effectiveness of the proposed algorithm. Comparative study with another recently reported algorithm is performed to investigate the performance improvement achieved by SAPF while using the proposed algorithm.
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spelling upm.eprints-607302019-03-28T03:56:49Z http://psasir.upm.edu.my/id/eprint/60730/ A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions Yap, Hoon Mohd Radzi, Mohd Amran Hassan, Mohd Khair Mailah, Nashiren Farzilah This paper presents a self-tuning filter (STF)-based adaptive linear neuron (ADALINE) reference current generation algorithm to enhance the operation of a three-phase three-level neutral-point diode clamped (NPC) inverter-based shunt active power filter (SAPF) under non-ideal (unbalanced and/or distorted) source voltage conditions. SAPF is an effective and versatile mitigation tool for current harmonics. As for its controller, ADALINE-based reference current generation algorithmd have widely been applied and proven to work effectively under balanced and purely sinusoidal source voltage conditions. However, no work has been conducted to study its performance under non-ideal source voltage conditions. In this work, a STF-based fundamental voltage extraction algorithm is integrated with an ADALINE algorithm, serving as synchronizer algorithm to ensure in-phase operation of the generated reference current with the non-ideal source voltage. Hence, it completely eliminates any dependency on conventional synchronizer algorithms such as phase-locked loop (PLL) and zero-crossing detector (ZCD). Additionally, the proposed STF-based ADALINE algorithm implements the modified Widrow-Hoff (W-H) weight updating algorithm for fast generation of reference current. Both simulation and experimental works are performed to verify design concept and effectiveness of the proposed algorithm. Comparative study with another recently reported algorithm is performed to investigate the performance improvement achieved by SAPF while using the proposed algorithm. MDPI 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60730/1/A%20self-tuning%20filter-based%20adaptive%20linear%20neuron%20approach%20for%20operation%20of%20three-level%20inverter-based%20shunt%20active%20power%20filters%20under%20non-ideal%20source%20voltage%20conditions.pdf Yap, Hoon and Mohd Radzi, Mohd Amran and Hassan, Mohd Khair and Mailah, Nashiren Farzilah (2017) A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions. Energies, 10 (5). pp. 1-28. ISSN 1996-1073 10.3390/en10050667
spellingShingle Yap, Hoon
Mohd Radzi, Mohd Amran
Hassan, Mohd Khair
Mailah, Nashiren Farzilah
A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions
title A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions
title_full A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions
title_fullStr A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions
title_full_unstemmed A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions
title_short A self-tuning filter-based adaptive linear neuron approach for operation of three-level inverter-based shunt active power filters under non-ideal source voltage conditions
title_sort self tuning filter based adaptive linear neuron approach for operation of three level inverter based shunt active power filters under non ideal source voltage conditions
url http://psasir.upm.edu.my/id/eprint/60730/1/A%20self-tuning%20filter-based%20adaptive%20linear%20neuron%20approach%20for%20operation%20of%20three-level%20inverter-based%20shunt%20active%20power%20filters%20under%20non-ideal%20source%20voltage%20conditions.pdf
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