scholarly journals A Novel Single-Phase Shunt Active Power Filter with Adaptive Neural Network Based Harmonic Detection

2005 ◽  
Vol 125 (1) ◽  
pp. 9-15 ◽  
Author(s):  
Katsumi Nishida ◽  
Md. Rukonuzzaman ◽  
Mutsuo Nakaoka
Keyword(s):  
Neural Network ◽  
Single Phase ◽  
Active Power Filter ◽  
Active Power ◽  
Harmonic Detection ◽  
Adaptive Neural Network ◽  
Shunt Active Power Filter ◽  
Power Filter

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

2021 ◽  
Author(s):  
Annu Govind ◽  
Vijay Kumar Tayal ◽  
prakash Kumar
Keyword(s):  
Neural Network ◽  
Power Quality ◽  
Active Power Filter ◽  
Active Power ◽  
Voltage Source ◽  
Adaptive Neural Network ◽  
Nonlinear Load ◽  
Shunt Active Power Filter ◽  
Power Filter ◽  
Three Phase

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.

scholarly journals Harmonic Detection for Shunt Active Power Filter Using ADALINE Neural Network

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4351
Author(s):  
Sarawut Janpong ◽  
Kongpol Areerak ◽  
Kongpan Areerak
Keyword(s):  
Neural Network ◽  
Current Model ◽  
Single Layer ◽  
Active Power Filter ◽  
Active Power ◽  
Harmonic Detection ◽  
Shunt Active Power Filter ◽  
Power Filter ◽  
Short Period ◽  
Adaline Neural Network

This paper presents an efficient harmonic detection for real-time generation of the reference current fed to a shunt active power filter using the ADALINE neural network. This proposed method is a single layer with 101 nodes generating the coefficients referred to as weights of the reference current model. It effectively overcomes the drawback of the current technology, which is instantaneous power theory (PQ). The proposed method was implemented on the TMS320F28335 DSP board and tested against MATLAB with Simulink as a hardware-in-loop (HIL) structure. This method gives a good performance by producing a precise reference current in a short period with uncomplicated calculation. It also efficiently can eliminate individual harmonic current. The achieved percentage of total harmonic distortion (%THD) in the current is reduced following the IEEE standard, while the power factor can be maintained to unity.

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