Photovoltaic array power attenuation prediction method and system
By using the ARIMA model to build a predicted power attenuation model, the problem of inaccurate power monitoring of photovoltaic arrays in the prior art is solved, more accurate power attenuation detection and optimized maintenance are achieved, and the efficiency and life of the photovoltaic system are improved.
Patent Information
- Application Number
- CN202411837162.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-04-08
AI Technical Summary
The existing photovoltaic array power attenuation detection methods lack accurate monitoring of full-cycle power, and cannot accurately evaluate the attenuation of photovoltaic arrays, which affects the optimization and maintenance of photovoltaic systems and the improvement of power generation efficiency.
ARIMA model is used to build a predicted power attenuation model, and pre-process the photovoltaic power generation historical data for pre-processing, calculate the theoretical output power, and use Python's Statsmodels library to fit the ARIMA model to perform power attenuation prediction.
It improves the accuracy of power attenuation detection of photovoltaic arrays, optimizes maintenance strategies, extends the service life of photovoltaic arrays, and improves energy output efficiency.
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Abstract
Citation Information
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