Photovoltaic power generation power prediction method and system

By collecting dust characteristics and environmental parameters on the surface of the photovoltaic module, predicting the mixing of dew and dust, calculating the occlusion area and adding the prediction model, the problem of ignoring the occlusion effect of dust and water in the prior art is solved, and the accuracy of photovoltaic power generation prediction is improved.

CN119696508AActive Publication Date: 2025-03-25JUHE ENERGY TECHNOLOGY (TIANJIN) CO LTD
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Patent Information

Application Number
CN202411758742.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-03-25
Estimated Expiration
2044-12-03

AI Technical Summary

Technical Problem

The existing photovoltaic power prediction method ignores the occlusion effect of dust and water when mixing on the photovoltaic module surface, resulting in inaccurate prediction results.

Method used

By collecting the dust characteristics, ambient temperature and humidity and surface temperature of the photovoltaic module surface, predicting the occurrence time and volume of the dew characteristics, determining the mixing situation of the dust and dew, calculating the occlusion area of ​​the photovoltaic module after mixing, and adding it to the power generation power prediction model as input parameters.

Benefits of technology

By considering the mixing effect of dust and dew, the accuracy of photovoltaic power generation prediction is improved, and the correction of the light actually received by the photovoltaic module is enhanced, thereby optimizing the power generation prediction results.

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Abstract

The invention discloses a photovoltaic power generation power prediction method and system, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: collecting data; predicting whether dew features appear or not; when dew features appear, predicting the appearing time, the volume of dew and the predicted appearing position; determining whether a mixture of dust and dew appears on the surface of the photovoltaic module or not according to the appearance time, the dust characteristics, the volume of the dew, the predicted appearance position and the inclination angle of the photovoltaic module; if so, predicting a shielding area; adding the shielding area as an input parameter into the generated power prediction model; according to the invention, data modeling is carried out on dew conditions according to historical data, and current environmental parameters are input into the model, so that the shielding area after dust and water are mixed is predicted, the influence of dew, dust and muddy water on the power generation power is digitized, light expected to be received by a photovoltaic module is corrected, and the power generation efficiency is improved. Therefore, the predicted power generation power is corrected, and the accuracy of the prediction result is improved.
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