Artificial intelligence for power generation: Intelligent techniques to optimize yield

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Bol In this work, we aim to improve the efficiency and performance criteria of photovoltaic systems under the effect of partial shading. This condition distorts the power-voltage characteristics of photovoltaic panels, creating a multiplicity of power maximum points (local maximums and a global maximum). Indeed, under the influence of partial shading, MPPT techniques are no longer able to distinguish the global maximum, leading to a significant loss of power.

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In this work, we aim to improve the efficiency and performance criteria of photovoltaic systems under the effect of partial shading. This condition distorts the power-voltage characteristics of photovoltaic panels, creating a multiplicity of power maximum points (local maximums and a global maximum). Indeed, under the influence of partial shading, MPPT techniques are no longer able to distinguish the global maximum, leading to a significant loss of power.


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