Comparisons  of PI and ANN  controllers for shunt HPF based on STF-PQ Algorithm under distorted grid voltage

Mohamed, Izzeldin Ibrahim; Ibrahim, Izzeldin. I.; Ahmad, Abu Zaharin; Salem, Mohamed; Almelian, Mohamad Milood; Jusoh, Awang; Sutikno, Tole

doi:10.11591/ijpeds.v10.i3.pp1339-1346

Cited by 5 publications

(10 citation statements)

References 15 publications

(18 reference statements)

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“…These two basic techniques are instantaneous active and reactive power theory (p-q theory) and synchronous reference frame theory (d-q theory) [3]. For voltage regulator, the conventional Proportional Integral (PI) control technique is proposed [6], [11]- [19], [22]- [24], and for the current controller, the hysteresis-based control is proposed [5]- [7], [11]- [20], [22], [23].…”

Section: Figure 1 Taxonomy Of Harmonic Elimination Filtersmentioning

confidence: 99%

“…However, the use of active filters for harmonics elimination is very costly. Therefore, an intermediate solution (between passive and active filters) known as hybrid active filter has been described as the most suitable solution for the harmonic elimination [6]. In this paper, we present the use of Shunt Hybrid Active Power Filters (SHAPF) for harmonic elimination in the power distribution systems.…”

Section: Introductionmentioning

confidence: 99%

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Neural Networks Based Shunt Hybrid Active Power Filter for Harmonic Elimination

Iqbal¹,

Jawad²,

Jaffery³

et al. 2021

IEEE Access

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The growing use of nonlinear devices is introducing harmonics in the power system networks that results in distortion of current and voltage signals causing damage to the power distribution system. Therefore, in power systems, the elimination of harmonics is of great concern. This paper presents an efficient techno-economical approach to suppress harmonics and improve the power factor in the power distribution network using neural network algorithms-based Shunt Hybrid Active Power Filter (SHAPF), such as Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Recurrent Neural Network (RNN). The objective of the proposed algorithms for SHAPF is to reduce Total Harmonic Distortion (THD) within an acceptable range to improve system quality. In our filter design approach, we tested and compared conventional pq0 theory and neural networks to detect the harmonics present in the power system. Moreover, for the regulation of the DC supply to the inverter of the SHAPF, the conventional PI controller and neural networks-based controllers are used and compared. The applicability of the proposed filter is tested for three different nonlinear load cases. The simulation results show that the neural networks-based filter control techniques satisfy all international standards with minimum current THD, neutral wire current elimination, and small DC voltage fluctuations for voltage regulation current. Furthermore, all three neural network architectures are tested and compared based on accuracy and computational complexity, with RNN outperforming the rest.

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Section: Figure 1 Taxonomy Of Harmonic Elimination Filtersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neural Networks Based Shunt Hybrid Active Power Filter for Harmonic Elimination

Iqbal¹,

Jawad²,

Jaffery³

et al. 2021

IEEE Access

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“…e use of imaginary variable for DQ technique is additional expanded in presenting the DQ technique via .α-β frame replacing that yields the DQ technique development as in following equations [30]:…”

Section: Mathematical Modeling Of Single-phase Srf-dqmentioning

confidence: 99%

“…As shown in equation ( 17), the Single-Phase DQ theory is used for reference current for HAPF [29,30].…”

Section: Mathematical Modeling Of Single-phase Srf-dqmentioning

confidence: 99%

Mathematical Modeling of THD Mitigation Using HAPF for UPS System with Experimental Analysis via Hybrid Interface of Optical USB and Power Quality Meter

Kumar

Uqaili

Memon

et al. 2021

Mathematical Problems in Engineering

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This paper discusses a novel analysis scheme based on the hybrid interface of Optical USB and Power Quality Meter for measuring Total Harmonic Distortion (THD) that exists in the Uninterruptable Power Supply (UPS) system and connected load. The designed hybrid interface experimentally analyzes the power quality and harmonics of the Uninterrupted Power Supply (UPS) system, and mitigation is proposed with the proposed Single-Phase Hybrid Active Power Filter (HAPF) based on instantaneous Power Theory (PQ) with hysteresis control technique and synchronous frame reference (DQ) with hysteresis control techniques at nonlinear load. This study authenticates and gives appropriate measurements in analyzing the harmonics and voltage distortion during conversion of power. The designed work offers the compensation and elimination of harmonic currents using PQ and DQ theory at different nonlinear loads. The proposed HAPF for the UPS system has demonstrated the significant reduction in THD using proposed Power Theory (PQ) with hysteresis control technique from 46.58% to 1.51% and by using DQ theory with hysteresis control technique has reduced THD from 46.58% to 1.38%. Finally, the results are compared between PQ and DQ. It is validated via results that DQ theory eliminated harmonics and also having less THD as compared to PQ-theory. Furthermore, one of the key aspects of the work is the analysis of power quality using Optical USB Interface (OC4USB) and FLUKE series power quality analyzer.

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“…This paper describes a hybrid control technique using proportional, integral with genetic algorithm (PI/GA) and fuzzy logic with genetic algorithm (FL/GA) sachems connected to a static VAR compensator to improve electrical power transmission efficiency. The simulation can generate two different solutions for the control of the SVC system; one is the Pi / GA controller and the other one is FL/GA controller compared to other articles that uses one strategy to maintain the system's reactive power [19][20][21]. The following sections are organized as follows: Section 2 explains the methodology that used to implement the proposed technique.…”

Section: Introductionmentioning

confidence: 99%

Hybrid control strategies of SVC for reactive power compensation

Aziz

Abdullah

2020

IJEECS

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<span>This article shows a prospective utilizations of flexible AC transmission system (FACTS) controls, like the static VAR compensator (SVC). One of the major motives for setting up an SVC is to recover dynamic voltage controller and thus increase system load aptitude. Static VAR compensator system proposed in this work consists of thyristor switched capacitor and thyristor controlled reactor sets, this style of SVC modelled using MATLAB simulink toolbox. A hybrid genetic algorithm with PI and fuzzy logic controls that used to control and expand the grid performance of the power system. The model results reveal that the Static Var Compensation contribute a decent result in upholding bus voltage after the power network is in an active and steady moment, besides it has a capability of the constancy control. It can totally work as a significant plan of reactive power recompense in power networks. </span>

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Comparisons of PI and ANN controllers for shunt HPF based on STF-PQ Algorithm under distorted grid voltage

Cited by 5 publications

References 15 publications

Neural Networks Based Shunt Hybrid Active Power Filter for Harmonic Elimination

Neural Networks Based Shunt Hybrid Active Power Filter for Harmonic Elimination

Mathematical Modeling of THD Mitigation Using HAPF for UPS System with Experimental Analysis via Hybrid Interface of Optical USB and Power Quality Meter

Hybrid control strategies of SVC for reactive power compensation

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