Artificial intelligence for power generation: Intelligent techniques to optimize yield
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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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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.
Beschrijving
(2)
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.
AmazonPagina's: 52, Paperback, Our Knowledge Publishing
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