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- W4361764016 abstract "Shadows affect the output features of photovoltaic array and interfere with the fault identification of photovoltaic array. The problem of photovoltaic array fault identification under shading is studied, and a method of photovoltaic array fault identification under shades based on WOA-KELM is proposed. The influence of shades on I-V features and fault features is analyzed, and then 3 features extraction is proposed to present the fault. The fault identification algorithm is designed by using WOA algorithm to optimize KELM model. The method can effectively reduce the influence of shades on fault identification, make full use of the generalization ability of elm model and the optimization processing ability of WOA algorithm, and improve the accuracy of fault diagnosis. Simulation and experiment verify the effectiveness of the proposed method." @default.
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- W4361764016 date "2023-01-01" @default.
- W4361764016 modified "2023-10-18" @default.
- W4361764016 title "Photovoltaic Fault Detection with Shaded Conditions" @default.
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- W4361764016 doi "https://doi.org/10.1007/978-981-99-0357-3_131" @default.
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