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Power prediction method and system for photovoltaic power plants based on grid-connected inverter operation data
Power prediction method and system for photovoltaic power plants based on grid-connected inverter operation data
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机译：基于网格连接的逆变器操作数据的光伏电站电源预测方法和系统
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摘要
PROBLEM TO BE SOLVED: To construct a solar cell assembly model based on the parameters of a solar cell assembly in a photovoltaic power plant. SOLUTION: A power prediction model of a solar cell array based on an artificial neural network algorithm is established, and a solar cell in a situation where the solar cell array is shielded by static shadows of different thicknesses and different shielding sizes. Collecting the output data of the array, building a training set, training against the power prediction model, obtaining a trained power prediction model, and real-time operation data of the inverter in the operating condition of the solar array in fine weather. Collect, classify and normalize the output power of the PV, and use the trained power prediction model to predict the output power of the entire photovoltaic power plant. Includes continuous forecasts of output power in, and power forecasts in minutes in situations where PV plants are shielded by dynamic cloud areas, and the sun based on grid-connected inverter operating data, including Provided is a method and system for predicting power of a photovoltaic power plant. The present invention reduces the cost of the device and eliminates defects in which cloud regions of different thicknesses affect the accuracy of power prediction in solar cell arrays. [Selection diagram] Fig. 1
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