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Energies 2016, 9(6), 397; doi:10.3390/en9060397

Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters

1
Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
2
Centre for Advanced Power and Energy Research, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
3
University of Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya, Kuala Lumpur 59990, Malaysia
*
Author to whom correspondence should be addressed.
Academic Editor: Tapas Mallick
Received: 30 March 2016 / Revised: 19 May 2016 / Accepted: 20 May 2016 / Published: 27 May 2016
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Abstract

This paper presents improvement of a harmonics extraction algorithm, known as the fundamental active current (FAC) adaptive linear element (ADALINE) neural network with the integration of photovoltaic (PV) to shunt active power filters (SAPFs) as active current source. Active PV injection in SAPFs should reduce dependency on grid supply current to supply the system. In addition, with a better and faster harmonics extraction algorithm, the SAPF should perform well, especially under dynamic PV and load conditions. The role of the actual injection current from SAPF after connecting PVs will be evaluated, and the better effect of using FAC ADALINE will be confirmed. The proposed SAPF was simulated and evaluated in MATLAB/Simulink first. Then, an experimental laboratory prototype was also developed to be tested with a PV simulator (CHROMA 62100H-600S), and the algorithm was implemented using a TMS320F28335 Digital Signal Processor (DSP). From simulation and experimental results, significant improvements in terms of total harmonic distortion (THD), time response and reduction of source power from grid have successfully been verified and achieved. View Full-Text
Keywords: shunt active power filter (SAPF); photovoltaic (PV); current harmonic; artificial neural network (ANN); total harmonic distortion (THD); digital signal processor (DSP); Simulink/MATLAB shunt active power filter (SAPF); photovoltaic (PV); current harmonic; artificial neural network (ANN); total harmonic distortion (THD); digital signal processor (DSP); Simulink/MATLAB
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mohd Zainuri, M.A.A.; Mohd Radzi, M.A.; Che Soh, A.; Mariun, N.; Abd Rahim, N.; Hajighorbani, S. Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters. Energies 2016, 9, 397.

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