Harmonic Detection for Shunt Active Power Filter Using ADALINE Neural Network

Sarawut Janpong, Kongpol Areerak and Kongpan Areerak
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Sarawut Janpong: Power Electronics, Energy, Machines and Control Research Group, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Kongpol Areerak: Power Electronics, Energy, Machines and Control Research Group, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Kongpan Areerak: Power Electronics, Energy, Machines and Control Research Group, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand

Energies, 2021, vol. 14, issue 14, 1-21

Abstract: 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.

Keywords: harmonic elimination; active power filter; ADALINE neural network; instantaneous power theory (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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