Data-driven dynamic modeling method and storage device for photovoltaic power plants
A photovoltaic power station, data-driven technology, applied in photovoltaic power generation, electrical digital data processing, power generation forecasting in AC networks, etc., can solve problems such as transient fluctuations, modeling methods and models that are no longer suitable for engineering research and applications , to achieve the effect of high reliability and accuracy, superiority and broad application prospects
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[0071] In this embodiment, the data-driven photovoltaic power plant prediction model includes: a photovoltaic cell module, an inverter, and a control module. AC busbar, and the data table / curve formed according to the output current of the photovoltaic cell module, the output voltage of the inverter and the control module according to the external light intensity and temperature.
[0072] Specifically, such as figure 1 As shown, the basic principle of photovoltaic power generation is to use the photovoltaic effect of semiconductors to generate photoelectric current. Therefore, photovoltaic cell modules are extremely sensitive to changes in light and temperature. Small changes in both will cause large fluctuations in voltage and current, which is a typical unsteady power supply.
[0073] figure 2 yes figure 1 The equivalent circuit, such as figure 2 As shown, the equation of the photovoltaic cell module is: ;
[0074] in: Indicates the photocurrent generated by the s...
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