2017
DOI: 10.3390/en10050667
|View full text |Cite
|
Sign up to set email alerts
|

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

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 p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 16 publications
(16 citation statements)
references
References 46 publications
0
15
0
1
Order By: Relevance
“…This section discusses about the phase synchronization techniques which have so far been integrated in the control system of SAPF. It includes the two common techniques in the literature namely zero-crossing detection (ZCD) [19,51,52] and phase-locked loop (PLL) [53][54][55], and the more recent techniques such as artificial neural-network (ANN) or adaptive linear neuron (ADALINE) [56][57][58], fundamental component extraction [59,60], and unit vector generation [61][62][63]. In this manuscript, the synchronization techniques are classified according to the intended application of SAPF, i.e., either for single-phase or three-phase power system, as illustrated in Figure 3.…”
Section: Phase Synchronization Techniquesmentioning
confidence: 99%
“…This section discusses about the phase synchronization techniques which have so far been integrated in the control system of SAPF. It includes the two common techniques in the literature namely zero-crossing detection (ZCD) [19,51,52] and phase-locked loop (PLL) [53][54][55], and the more recent techniques such as artificial neural-network (ANN) or adaptive linear neuron (ADALINE) [56][57][58], fundamental component extraction [59,60], and unit vector generation [61][62][63]. In this manuscript, the synchronization techniques are classified according to the intended application of SAPF, i.e., either for single-phase or three-phase power system, as illustrated in Figure 3.…”
Section: Phase Synchronization Techniquesmentioning
confidence: 99%
“…The overall updating process performed by the W-H weight updating technique is as follows: Figure 2. Control structure of a generalized adaptive linear neuron (ADALINE) module [11,19].…”
Section: _mentioning
confidence: 99%
“…Hence, to minimize this problem, suitable learning rate γ in the range of zero to one (0 < γ < 1) is added. Anyhow, the best γ value reported for fundamental current estimation is 0.0006 [16,19]. Note that a fully updated i L f und_est will have the following expression.…”
Section: _ = 1_mentioning
confidence: 99%
See 2 more Smart Citations