Enhancing MPPT Performance in Partially Shaded PV Systems under Sensor Malfunctioning with Fuzzy Control
نویسندگان
چکیده
The shift towards sustainable energy sources is gaining momentum due to their environmental cleanliness, abundant availability, and eco-friendly characteristics. Solar energy, specifically harnessed through photovoltaic (PV) systems, emerges as a clean, abundant, environmentally friendly alternative. However, the efficacy of PV systems subjective depending on two critical factors: irradiance temperature. To optimize power output, maximum point tracking (MPPT) strategies are essential, allowing operation at system’s optimal point. In presence partial shading, power–voltage curve exhibits multiple peaks, yet only one global (GMPP) can be identified. Existing algorithms for GMPP often encounter challenges, including overshooting during transient periods chattering steady states. This study proposes utilization fuzzy sliding mode controllers (FSMC) proportional-integral (FPI) control enhance MPPT reference under shading conditions. Additionally, performance evaluated considering potential sensor malfunctions. proposed techniques ensure precise voltage in scenarios, facilitating rapid convergence, improved system stability transitions, reduced usefulness scheme confirmed use indices. FSMC has lowest integral absolute error (IAE) 946.94, followed closely by FPI (947.21), comparison controller (SMC) (1241.6) perturb observe (P&O) (2433.1). Similarly, time (ITAE), (56.84) (57.06) excel over SMC (91.03) P&O (635.50).
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ژورنال
عنوان ژورنال: Energies
سال: 2023
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en16124665