An Efficient Control Method of Shunt Active Power Filter Using ADALINE

Martínek, Radek; Vaňuš, Jan; Bilík, Petr; Stratil, Tomas; Žídek, Jan

doi:10.1016/j.ifacol.2016.12.064

Cited by 17 publications

(9 citation statements)

References 15 publications

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“…It is obvious that the proposal of three independent adaptive systems is needed for the three-phase design. The authors have solved the problematics in [40][41][42]46,48].…”

Section: Discussionmentioning

confidence: 99%

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Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

et al. 2019

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This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active power filter (SAPF) control. The article presents a pilot study necessary for the construction of our own controlled adaptive modular inverter. The objective of the study is to find an optimal algorithm for the implementation. The introduction contains a survey of the literature and summarizes contemporary methods. According to this research, only adaptive filtration fulfills our requirements (adaptability, real-time processing, etc.). The primary benefit of the paper is the study of the efficiency of two basic approaches to adaptation ((N)LMS and RLS) in the application area of SAPF control. The study examines the impact of parameter settings (filter length, convergence constant, forgetting factor) on THD, signal-to-noise ratio (SNR), root mean square error (RMSE), percentage root mean square difference (PRD), speed, and stability. The experiments are realized with real current and voltage recordings (consumer electronics such as PC source without power factor correction (PFC), HI-FI amplifier, etc.), which contain fast dynamic transient phenomena. The realized model takes into account a delay caused by digital signal processing (DSP) (the implementation of algorithms on field programmable gate array (FPGA), approximately 1–5 μs) and a delay caused by the reaction time of the proper inverter (approximately 100 μs). The pilot study clearly showed that the RLS algorithm is the most suitable for the implementation of an adaptive modular inverter because it achieved the best results for all analyzed parameters.

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“…It is obvious that the proposal of three independent adaptive systems is needed for the three-phase design. The authors have solved the problematics in [40][41][42]46,48].…”

Section: Discussionmentioning

confidence: 99%

“…Artificial intelligence techniques and soft computing techniques (adaptive neuro-fuzzy inference systems (ANFIS), adaptive linear neuron (ADALINE) ) [40][41][42][43][44][45] •…”

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confidence: 99%

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

et al. 2019

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“…where η is the learning rate of the ADALINE. Investigations showed that some papers studying the application of ADALINE as an extraction algorithm in SAPF such [22][23][24] use inputs generated in form of sine and cosine waves at a frequency multiple of conventional one (50 Hz or 60 Hz), taking for granted that the frequency will not fluctuate. This approach can have dramatic impacts on compensation performances in case the frequency shifts as it will be shown later in this study.…”

Section: Adaline Based Shunt Active Power Filtermentioning

confidence: 99%

Artificial Neural Network Active Power Filter with Immunity in Distributed Generation

Kadem

Semmah

Wira

et al. 2020

Period. Polytech. Mech. Eng.

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With an electrical grid shifting toward Distributed Generation (DG), the emerging use of renewable energy resources is continuously creating challenges to maintain an acceptable electrical power quality thought-out the grid; Therefore, in an energy market where loads are becoming more and more sensitive in a distributed generation filled with polluting nonlinear loads, power quality improvement devices such Active Power Filters (APFs) have to evolve to meet the new standards, since theirs conventional control strategies can't properly operate when multiple power quality problems happens at once, even the one using AI based control as it will be proven in this paper. In this paper a neural network based Active Power Filter will be tested in a DG environment where both current and voltage harmonics, along with fast frequency variation occurs, we will see how the PLL can downgrade its performances enormously under such hostile conditions, We propose to solve this problem by replacing the conventional PLL with a nonlinear least square (NLS) frequency estimator, this novel NLS-ADALINE SAPF is immune in high DG penetration environment, as it will be tested and validated experimentally on an Opal-RT OP5600 FPGA based real-time simulator.

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“…The current values are used in (18)- (20), and conduction energy losses are calculated. The power-loss calculation process is shown in Fig.…”

Section: Power Loss Calculation Of Invertersmentioning

confidence: 99%

“…Although the auxiliary inverter acts as an active filter, the control algorithm of the inverter is easier than that of the active filters. In active filters, the reference current is calculated from the grid current using different methods [19][20][21], whereas this is more easily accomplished in the proposed system. In addition, the main purpose of utilizing the auxiliary inverter that is different from the active filter is an increased system efficiency compared to a single sixswitch three-phase inverter with an L filter.…”

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confidence: 99%

Highly efficient three-phase grid-connected parallel inverter system

Isen

Bakan

2018

J. Mod. Power Syst. Clean Energy

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In this paper, a new three-phase grid-connected inverter system is proposed. The proposed system includes two inverters. The main inverter, which operates at a low switching frequency, transfers active power to the grid. The auxiliary inverter processes a very low power to compensate for the grid current ripple. Thus, no active power is processed by the auxiliary inverter. The goal is to produce a grid current with a low total harmonic distortion (THD) and to obtain the highest efficiency from the inverter system. The main inverter is controlled via a space-vector pulse-width modulation owing to its optimum switching pattern, and the auxiliary inverter is controlled via a hysteresis current-control technique owing to the technique's fast dynamic response. The proposed system is analyzed in terms of different DC-link voltage, switching frequency, and filter inductance values. The optimum system parameters are selected that provide a THD value of less than 5%. A prototype inverter system at a 10-kW output power has been implemented. The main inverter operates at a 3-kHz switching frequency, and the auxiliary inverter compensates for the grid-current ripple. In total, a THD of 4.33% and an efficiency of 97.86% are obtained using the proposed inverter system prototype.

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An Efficient Control Method of Shunt Active Power Filter Using ADALINE

Cited by 17 publications

References 15 publications

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

Artificial Neural Network Active Power Filter with Immunity in Distributed Generation

Highly efficient three-phase grid-connected parallel inverter system

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