Next Article in Journal
Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review
Next Article in Special Issue
A High-Power-Density Single-Phase Rectifier Based on Three-Level Neutral-Point Clamped Circuits
Previous Article in Journal
Quantitative Evaluation of BIPV Visual Impact in Building Retrofits Using Saliency Models
Previous Article in Special Issue
An Improved Scheme for Voltage Sag Override in Direct Torque Controlled Induction Motor Drives
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Energies 2017, 10(5), 667; doi:10.3390/en10050667

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

Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
*
Author to whom correspondence should be addressed.
Academic Editor: Jose Fernando Alves da Silva
Received: 22 March 2017 / Revised: 4 May 2017 / Accepted: 8 May 2017 / Published: 11 May 2017
(This article belongs to the Special Issue Power Electronics in Power Quality)

Abstract

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. View Full-Text
Keywords: artificial neural network (ANN); current harmonics; multilevel inverter; non-sinusoidal supply voltage; reactive power compensation; total harmonic distortion (THD) artificial neural network (ANN); current harmonics; multilevel inverter; non-sinusoidal supply voltage; reactive power compensation; total harmonic distortion (THD)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hoon, Y.; Mohd Radzi, M.A.; Hassan, M.K.; Mailah, N.F. 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 2017, 10, 667.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top