可再生能源2024，Vol.42Issue(9)：1205-1210,6.
基于贝叶斯推理的风电机组风轮偏航协同智能控制方法
Collaborative intelligent control method for wind turbine rotor yaw based on Bayesian inference
摘要
Abstract
The change in wind direction poses a challenge to the yaw control of wind turbines.Due to frequent changes in wind direction,the response speed of wind turbines is too slow,making it difficult to adjust the yaw angle in a timely manner,thereby affecting power generation efficiency.In order to accurately control the problem of wind turbine wheel yaw,a collaborative intelligent control method for wind turbine wheel yaw considering the randomness of wind speed is proposed.Considering the randomness of wind speed,analyze the wind direction signal and obtain wind direction sample data.Introduce a Bayesian classifier and combine it with a wind direction normal analysis model to calculate the posterior probability of wind direction samples that follow the distribution of the previous batch of samples.Use it as the benchmark for adjusting the warning value,establish a network warning value adjustment mechanism based on Bayesian inference,and adjust the warning value through a mountain climbing algorithm to achieve collaborative intelligent control of wind turbine rotor yaw.The experimental results show that the proposed method achieves collaborative intelligent control of wind turbine rotor yaw,with zero occurrence of yaw in the cabin position and a short yaw control time.This indicates that the method can achieve collaborative intelligent control of wind turbine rotor yaw.关键词
考虑风速随机性/风电机组/风轮偏航/协同智能控制Key words
consider the randomness of wind speed/wind turbines/wind wheel yaw/collaborative intelligent control分类
能源科技引用本文复制引用
邬伟骏,吴江波,周强,姜文兵..基于贝叶斯推理的风电机组风轮偏航协同智能控制方法[J].可再生能源,2024,42(9):1205-1210,6.基金项目
国家电投总部科技项目(KYTC2021SD14). （KYTC2021SD14）
