A Review on Shunt Active Power Filter Control Strategies

Singh, Harnek; Kour, Maneet; Thanki, Dip V.; Kumar, Pravesh

doi:10.14419/ijet.v7i4.5.20026

Cited by 20 publications

(9 citation statements)

References 40 publications

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“…In the authors' opinion, a comparative study of all methods mentioned above (traditional and modern) should be the object of subsequent research (see Figure 16), where ANN is artificial neural network, SRF is synchronous reference frame, SDFT is sliding discrete Fourier transform, and RDFT is recursive discrete Fourier transform. Currently, only a limited amount of comparative studies have been conducted, e.g., [86,87]. It is evident that the advanced techniques of signal processing are beginning to be applied in the SAPF control area, where they are still new.…”

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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Section: Discussionmentioning

confidence: 99%

“…Current trends in the domain of advanced methods of signal processing show that it would be possible to use some of the soft-computing methods for SAPF control [86,88], namely…”

Section: Modern Traditionalmentioning

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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“…Similarly, articles were published based on the reference signals generated for the control of shunt active power filter (SAPF) in either frequency domain or time domain algorithms [8,9]. In [10,11], synchronous reference frame theory and instantaneous PQ theory were used to generate the reference currents. Therefore, the THD was reduced to within the permissible limit, but the voltage across the DC link capacitor varied with respect to the transient conditions.…”

Section: Introductionmentioning

confidence: 99%

Indirect Effective Controlled Split Source Inverter-Based Parallel Active Power Filter for Enhancing Power Quality

et al. 2021

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The existing solutions for reducing total harmonic distortion (THD) using different control algorithms in shunt active power filters (SAPFs) are complex. This work proposes a split source inverter (SSI)-based SAPF for improving the power quality in a nonlinear load system. The advantage of the SSI topology is that it is of a single stage boost inverter with an inductor and capacitor where the conventional two stages with an intermediate DC-DC conversion stage is discarded. This research proposes inventive control schemes for SAPF having two control loops; the outer control loop regulates the DC link voltage whereas the inner current loop shapes the source current profile. The control mechanism implemented here is an effective, less complex, indirect scheme compared to the existing time domain control algorithms. Here, an intelligent fuzzy logic control regulates the DC link voltage which facilitates reference current generation for the current control scheme. The simulation of the said system was carried out in a MATLAB/Simulink environment. The simulations were carried out for different load conditions (RL and RC) using a fuzzy logic controller (FLC) and PI controllers in the outer loop (voltage control) and hysteresis current controller (HCC) and sinusoidal pulse width modulation (SPWM) in the inner loop (current control). The simulation results were extracted for dynamic load conditions and the results demonstrated that the THD can be reduced to 0.76% using a combination of SPWM and FLC. Therefore, the proposed system proved to be effective and viable for reducing THD. This system would be highly applicable for renewable energy power generation such as Photovoltaic (PV) and Fuel cell (FC).

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“…The power-electronics converter & nonlinear loads are the main source of harmonics & reactive power, affectng power system performance [6,7,8,9]. Voltage harmonics and related power distribution problems arise due to the current harmonics produced by nonlinear loads such as controlled/uncontrolled converter, electronic power supplies, lighting ballasts, arc furnaces, adjustable speed drives, electric oven and un-interruptible power supplies (UPS) [10,11,12].…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Shunt Active Power Filter Application using Adaptive Neural Network

Govind

Tayal

Kumar

2021

Preprint

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Adaptive neural network (ANN) topology-based control is proposed in this paper for three phase three wire shunt active power filter (SAPF) application. The proposed controller improves power quality and compensates harmonic components. The system includes a current controlled voltage source inverter (CC-VSI) using three phase insulated gate bipolar transistors (IGBT), a DSP module for generating regulated pulse width modulated (PWM) pulse and reference DC bus. The increase in nonlinear load applications has raised power quality issues. SAPF has emerged as one of the best solutions to improve power quality. Application of ANN in SAPF eliminates the need for unit template generation and the tuning requirement of phase locked loop (PLL), as required in traditional SAPF. The proposed ANN based SAPF can be dynamically regulated for minimum harmonic contamination. The results were obtained and verified in Matlab/ Simulink platform.

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A Review on Shunt Active Power Filter Control Strategies

Cited by 20 publications

References 40 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

Indirect Effective Controlled Split Source Inverter-Based Parallel Active Power Filter for Enhancing Power Quality

Performance Enhancement of Shunt Active Power Filter Application using Adaptive Neural Network

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