可再生能源2024，Vol.42Issue(10)：1341-1347,7.
基于MQ-WaveNet的智慧新能源大规模风力发电智能控制
The intelligent control of smart new energy large scale wind power generation based on MQ-WaveNet
摘要
Abstract
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.关键词
小波神经网络/智慧新能源/大规模风力发电/发电机组控制/多分位点Key words
wavelet neural network/smart new energy/large scale wind power generation/generator set control/multiple quantiles分类
能源科技引用本文复制引用
王家坤,司化涛,王希转,张媛,赵伟平..基于MQ-WaveNet的智慧新能源大规模风力发电智能控制[J].可再生能源,2024,42(10):1341-1347,7.基金项目
国家能源投资集团有限公司创新创效项目成果转化信息化项目(100000371F210008). （100000371F210008）
