Photovoltaic Maximum Power Point Tracking using Optimization Algorithms

Abstract
The necessity for clean and sustainable energy has shifted the energy sector’s interest in renewable energy sources. Photovoltaics (PV) is the most popular renewable energy source because the sun is ubiquitous. However, several discrepancies exist in a PV system when implemented for real-world applications. Among several other existing problems related to Photovoltaics, in this work, we deal with maximum power point tracking (MPPT) under Partial Shading (PS) conditions. MPPT is a mechanism formulated as an optimization problem adjusting the PV to deliver the maximum power to the load. Under full insolation conditions, varying solar panel temperatures, and different loads MPPT problem is a convex optimization problem. However, when the PV’s surface is partially shaded, multiple power peaks are created in the power versus voltage (P-V) curve making MPPT non-convex.

Citation
Pervez, I. (2022). Photovoltaic Maximum Power Point Tracking using Optimization Algorithms. KAUST Research Repository. https://doi.org/10.25781/KAUST-4I2R6

DOI
10.25781/KAUST-4I2R6

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