The intelligent control of smart new energy large scale wind power generation based on MQ-WaveNet
In order to reduce external interference and ensure safe and stable power operation,a research on intelligent control of large-scale wind power generation based on MQ-WaveNet for smart new energy is proposed.By constructing a smart new energy large-scale wind turbine model,calculating the captured wind energy and blade tip speed values,adjusting the speed of the generator,and obtaining the optimal power coefficient.Input parameters such as air pressure,wind direction,and wind speed into a wavelet neural network,and obtain power values for the hidden layer and output layer based on the weights between layers;Combining multi view quantiles to form an MQ-WaveNet model,calculate the power generation prediction results for each quantile and clarify the temporal characteristics of wind power generation.Using Lyapunov function estimation,calculate the transformation and control vector of the sliding mode surface for wind power generation,reach the sliding mode surface within the range of multiple quantiles,and achieve intelligent and stable control of the wind power generation state.Through experiments,it has been proven that the studied model can improve the anti-interference ability of wind turbines and ensure the intelligent and stable operation of equipment.
wavelet neural networksmart new energylarge scale wind power generationgenerator set controlmultiple quantiles
国家科技期刊平台
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