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All Journal International Journal of Electrical and Computer Engineering International Journal of Applied Power Engineering (IJAPE)
Hicham Bahri
Hassan II University of Casablanca
Computer Science & IT Electrical & Electronics Engineering

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An efficient scanning algorithm for photovoltaic systems under partial shading Mohamed Bahri; Mohamed Talea; Hicham Bahri; Mohamed Aboulfatah
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp5799-5807

Abstract

This paper proposes a new technique of maximum power point tracking (MPPT) for a photovoltaic (PV) system connected to three phase grids under partial shading condition (PSC), based on a new combined perturb and observe (P&O) with scanning algorithm. This new algorithm main advantages are the high-speed tracking compared to existing algorithms, high accuracy and simplicity which makes it ideal for hardware implementation. Simulation was carried on MATLAB/Simulink. Results showed the effectiveness in speed and accuracy of our algorithm over the existing ones either during standard condition (STC) or PSC. Furthermore, conventional direct power control (DPC) was applied to synchronize successfully the injected power with the grid, which makes our algorithm global and works efficiently under severe conditions.
MPPT control of a PV-battery system using a gain-scheduled adaptive PI controller and dual active bridge converter Khalid Sabhi; Mohamed Talea; Hicham Bahri
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i3.pp1299-1313

Abstract

Standalone photovoltaic-battery systems face significant challenges in maintaining optimal power extraction under rapidly varying irradiance conditions. Conventional MPPT controllers based on fixed-gain PI approaches suffer from poor dynamic response, oscillations around the maximum power point, and inability to adapt to the nonlinear behavior of dual active bridge (DAB) converters across different operating points. To address these limitations, this work proposes an innovative adaptive control strategy for maximum power point tracking (MPPT) in a stand-alone photovoltaic-battery system connected via a DAB converter. The gain-scheduled PI controller is recalculated at each 1 µs sample by local linearization of the complete nonlinear model of the PV-DAB-battery system, with explicit compensation for measurable disturbances (derived from irradiance G and temperature T). MATLAB/Simulink simulations under realistic irradiance profiles (slow ramps simulating the passage of clouds) demonstrate a clear superiority over a classic PI with fixed gains: ultra-fast response (approximately 1 ms), total absence of oscillations and overshoots, and strict maintenance of a constant second-order dynamic over the entire operating range. To our knowledge, this gain-scheduled analytical approach with explicit perturbation compensation has never before been applied to DAB topology in PV-battery systems. It is distinguished by its ease of implementation, low computational load, and robustness without the need for complex observers. This work lays the groundwork for future experimental validation and extensions to multi-source hybrid systems.
Co-Authors Khalid Sabhi Mohamed Aboulfatah Mohamed Bahri Mohamed Talea