Photovoltaic Integrated Shunt Active Power Filter with Simpler ADALINE Algorithm for Current Harmonic Extraction

Mohd Zainuri, Muhammad and Mohd Radzi, Mohd and Che Soh, Azura and Mariun, Norman and Rahim, Nasrudin Abd and Teh, Jiashen and Lai, Ching-Ming (2018) Photovoltaic Integrated Shunt Active Power Filter with Simpler ADALINE Algorithm for Current Harmonic Extraction. Energies, 11 (5). p. 1152. ISSN 1996-1073, DOI

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This manuscript presents a significant work in improving the current harmonics extraction algorithm and indirectly improving the injection current produced by a single-phase Photovoltaic Shunt Active Power Filter (PV SAPF). Improvement to the existing adaptive linear neuron (ADALINE) technique has been carried out, leading to the formation of a simpler ADALINE; it is expected to perform as fast as the current harmonics extraction algorithm. Further analysis on the DC link capacitor control algorithm, called "self-charging with step size error cancellation", was also done to inspect the performance of the algorithm in a single-phase photovoltaic shunt active power filter system. Both algorithms, configured in single-phase PV SAPF, were simulated in MATLAB/Simulink (R2012b). A laboratory prototype was developed, and the algorithms were computed on a TMS320F28335 Digital Signal Processing (DSP) board for hardware implementation purposes. From the acquired results, the simpler ADALINE algorithm has effectively performed with lower total harmonic Distortion (THD) and outstanding compensation. The established algorithm of self-charging with step size error cancellation works well with single-phase PV SAPF and has shown less overshoot, a fast response time, and minimal energy losses.

Item Type: Article
Funders: Putra grant scheme from Universiti Putra Malaysia, Key Performance Index (KPI) grant under the School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Malaysia
Uncontrolled Keywords: adaptive linear neuron; DC link capacitor; current harmonics; photovoltaic; shunt active power filter
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 28 Jan 2019 03:55
Last Modified: 28 Jan 2019 03:55

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