Enhancing the efficiency of PV-based green hydrogen systems under partial shading conditions

Partial shading (PS) significantly decreases the energy output of photovoltaic (PV) systems and limits the hydrogen production capacity of PV-based hydrogen production systems (PVHPSs) due to the emergence of multiple local maxima in the power-voltage (P-V) characteristics. This paper presents a dynamic PV array reconfiguration strategy based on the Mother Optimization Algorithm (MOA) to counteract PS effects and improve the performance of a PV-driven proton exchange membrane electrolyzer (PEMEC) system. The method dynamically reconfigures the modules of a total-cross-tied (TCT) PV array through a switching matrix controlled by real-time irradiance measurements. A PVHPS model is implemented in MATLAB/Simulink and tested under various PS conditions with irradiance levels ranging from 200 to 1000 W/m², and the results are compared with those of a traditional TCT configuration. The findings indicate that the MOA-based control technique effectively smooths the P–V curves and achieves reliable maximum power point tracking (MPPT). The PV output power increases by up to 52.4%, and hydrogen production increases from 0.12349 Nm³/h to 0.187724 Nm³/h. Additionally, validation with real irradiance data from the Ain Elmelh PV station in Algeria shows improvements of 39.67% in daily PV energy generation and 40.21% in hydrogen output, confirming the approach’s effectiveness under realistic operating conditions.

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Publication Details

Journal
Scientific African
Published
2026-04-17
DOI
https://doi.org/10.1016/j.sciaf.2026.e03368
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

Enhancing the efficiency of PV-based green hydrogen systems under partial shading conditions

Ahmed Bendib, M. Benghanem, Abderrahim Zemmit, Moadh Kichen et al.
Scientific African
Hybrid Renewable Energy Systems
article

Enhancing the efficiency of PV-based green hydrogen systems under partial shading conditions

Ahmed Bendib, M. Benghanem, Abderrahim Zemmit, Moadh Kichen, Abdelouaoud Loikriz
article en

Abstract

Partial shading (PS) significantly decreases the energy output of photovoltaic (PV) systems and limits the hydrogen production capacity of PV-based hydrogen production systems (PVHPSs) due to the emergence of multiple local maxima in the power-voltage (P-V) characteristics. This paper presents a dynamic PV array reconfiguration strategy based on the Mother Optimization Algorithm (MOA) to counteract PS effects and improve the performance of a PV-driven proton exchange membrane electrolyzer (PEMEC) system. The method dynamically reconfigures the modules of a total-cross-tied (TCT) PV array through a switching matrix controlled by real-time irradiance measurements. A PVHPS model is implemented in MATLAB/Simulink and tested under various PS conditions with irradiance levels ranging from 200 to 1000 W/m², and the results are compared with those of a traditional TCT configuration. The findings indicate that the MOA-based control technique effectively smooths the P–V curves and achieves reliable maximum power point tracking (MPPT). The PV output power increases by up to 52.4%, and hydrogen production increases from 0.12349 Nm³/h to 0.187724 Nm³/h. Additionally, validation with real irradiance data from the Ain Elmelh PV station in Algeria shows improvements of 39.67% in daily PV energy generation and 40.21% in hydrogen output, confirming the approach’s effectiveness under realistic operating conditions.

Scientific AfricanVol. 32
University Mohamed Boudiaf of M'sila (DZ), Islamic University of Madinah (SA), University of Blida (DZ)
Openalex Percentile: Top 21%
Hybrid Renewable Energy Systems
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