Effective wind speed estimation-based virtual inertia control method for large-scale wind turbine generator
A technology of wind turbines and virtual inertia, applied in control systems, control generators, electrical components, etc., can solve problems such as secondary drop in grid frequency, achieve smooth switching, avoid secondary shocks, and avoid sudden changes in output power
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[0033] Embodiment 1: A virtual inertia control method for large-scale wind turbines based on effective wind speed estimation, such as figure 1 As shown, it includes the following steps: Step s1: When performing virtual inertia control mode, real-time detection of wind turbine speed, output power, pitch angle, nacelle wind speed and nacelle vibration acceleration, and obtain wind speed estimated value through effective wind speed estimation method; effective Wind speed estimation methods can use Kalman filter, Newton iterative method, neural network and machine learning methods, such as image 3As shown, it is an effective wind speed estimation method under the machine learning method. This method is divided into two stages, namely the offline training stage and the online use stage. Construct the training set after normalization processing, and train the artificial intelligence model through the training set. In the online use stage, collect the real-time output data of the un...
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