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Implementing a novel hybrid maximum power point tracking technique in DSP via Simulink/MATLAB under partially shaded conditions


Citation

Hajighorbani, Shahrooz and Mohd Radzi, Mohd Amran and Ab Kadir, Mohd Zainal Abidin and Shafie, Suhaidi and Mohd Zainuri, Muhammad Ammirrul Atiqi (2016) Implementing a novel hybrid maximum power point tracking technique in DSP via Simulink/MATLAB under partially shaded conditions. Energies, 9 (2). art. no. 85. pp. 1-25. ISSN 1996-1073

Abstract

This paper presents a hybrid maximum power point tracking (MPPT) method to detect the global maximum power point (GMPP) under partially shaded conditions (PSCs), which have more complex characteristics with multiple peak power points. The hybrid method can track the GMPP when a partial shadow occurs either before or after acquiring the MPP under uniform conditions. When PS occurs after obtaining the MPP during uniform conditions, the new operating point should be specified by the modified linear function, which reduces the searching zone of the GMPP and has a significant effect on reducing the reaching time of the GMPP. Simultaneously, the possible MPPs are scanned and stored when shifting the operating point to a new reference voltage. Finally, after determining the possible location of the GMPP, the GMPP is obtained using the modified P&O. Conversely, when PS occurs before obtaining the MPP, the referenced MPP should be specified. Thus, after recognizing the possible location of the GMPP, the modified P&O can be used to obtain the GMPP. The simulation and experimental implementations for the proposed algorithm are performed with different scenarios of shadowing under different irradiations, which clearly indicate that the proposed method is robust and has a fast tracking speed. Moreover, this work presents the load sizing method for PSCs to avoid controller failure when detecting the GMPP. Additionally, in this paper, the user-friendly method for programming the digital signal processing (DSP) via Simulink/MATLAB is presented in detail.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Centre for Advanced Power and Energy Research
DOI Number: https://doi.org/10.3390/en9020085
Publisher: MDPI
Keywords: Digital signal processing (DSP); Global maximum power point (GMPP); Partial shadow (PS); Perturb and observation (P&O); Photovoltaic (PV); Simulink/MATLAB
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 20 Jun 2016 06:52
Last Modified: 20 Jun 2016 06:52
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/en9020085
URI: http://psasir.upm.edu.my/id/eprint/29190
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