Real-time monitoring method and device for abnormal power performance of wind turbine generator
A technology for real-time monitoring of wind turbines, applied in the monitoring of wind turbines, wind power generation, wind turbines, etc., can solve inaccurate, inability to accurately represent the fluctuation and dispersion of wind power, and the incomplete power performance of wind turbines, etc. problem, to achieve the effect of improving the prediction accuracy
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Embodiment 1
[0066] Such as figure 1 As shown, this embodiment proposes a working method of a real-time monitoring device for abnormal power performance of wind turbines as follows:
[0067] By obtaining a large number of historical operating data of wind turbines and historical data of wind measuring towers, based on the above historical operating data, the multi-dimensional feature quantity that characterizes the power generation performance of wind turbines is constructed to the greatest extent;
[0068] Continuously and fully learn historical data through machine learning algorithms, and establish a power regression prediction model of the wind turbine;
[0069] Use the power prediction model to predict the real-time power generation, and calculate the deviation between it and the actual power generation;
[0070] Finally, the principal component analysis method is used to calculate the T of the time-domain statistical characteristics of the power deviation 2 and SPE statistics, by m...
Embodiment 2
[0074] Such as figure 2 As shown, on the basis of Embodiment 1, the working method of the real-time monitoring device for abnormal power performance of the wind turbine is specifically:
[0075] Step 1. Obtain the historical operation data of the wind turbine to be monitored and the historical data of the anemometer tower of the wind farm in the same period through the big data cloud platform; the historical operation data of the wind turbine to be monitored includes temperature, humidity, wind direction of the nacelle, wind speed of the nacelle, and wind speed of the nacelle Location, generator speed, active power and pitch angle; the historical data of the wind tower in the wind farm in the same period includes the wind direction and wind speed of the wind tower.
[0076] Step 2. In order to improve the accuracy and convergence of the subsequent power prediction model, clean the historical operating data of the wind turbine to be monitored, eliminate invalid data, and retai...
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