New method to optimize the performance of photovoltaic trackers in overcast conditions. Improve your response against severe weather events, including hail, floods, extreme winds and low temperatures.
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In this study, field instrumentation was used to assess the vibrational characteristics of a selected tracking photovoltaic support system. Using ANSYS software, a modal analysis and finite
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This work aims to present a new artificial intelligence-based algorithm applied to solar trackers that consider bifacial panels to enhance energy generation. The algorithm primarily focuses
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Currently, research into automatic solar trackers is on the rise, as solar energy is abundant in nature, but its use in a highly efficient way is still lacking. This paper provides a detailed
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To address the issues mentioned above, this paper proposes a novel MPPT technique based on the nature-inspired idols algorithm (IA). The technique allows the promotion value (PM) to
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Abstract Horizontal single-axis solar tracking systems with Astronomical tracking algorithm are commonly used in photovoltaic (PV) installations. However, different algorithms can
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To maximize conversion efficiency, photovoltaic (PV) systems generally operate in the maximum power point tracking (MPPT) mode. However, due to the increasing p
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To address the aforementioned issues, in this paper we propose two independent solutions that do not require external irradiance or temperature sensors. First, we introduce a com-pensation factor that is
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This study introduces a novel approach to maximum power point tracking in solar photovoltaic systems by combining the super-twisting algorithm with the grey wolf optimizer.
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Hence, a significant number of flexible pow‐er point tracking (FPPT) algorithms have been introduced in the existing literature. The purpose of such algorithms is to real‐ize a cost-effective...
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