可再生能源2024，Vol.42Issue(7)：901-907,7.
基于模糊卡尔曼滤波和改进滑模控制的风电场飞轮储能控制策略
Control strategy of FESS in wind farms based on fuzzy Kalman filter and improved sliding mode control
摘要
Abstract
Installing a certain capacity of flywheel energy storage system(FESS)at the grid connection of wind farms can effectively smooth the grid-connected power and improve the grid-friendliness of wind farms.To improve the power response speed of FESS and enhance the smoothing effect of wind power fluctuation while avoiding overcharge/overdischarge of FESS,this paper proposes a control strategy for FESS based on a fuzzy Kalman filter and the improved sliding mode control(SMC).The Kalman gain is adaptively adjusted according to the real-time speed and power of FESS.The difference between the filtering result and the wind farm output power is used as the input of the SMC to realize the power control of FESS.The simulation results show that the control strategy proposed in this paper has good dynamic response characteristics and the wind power can be effectively smoothed,thus meeting the requirements of grid connection.The flywheel speed is kept within the limit during the smoothing process,which extends the service life of FESS.关键词
风电功率/飞轮储能/滑模变结构控制/卡尔曼滤波器/模糊控制Key words
wind power/flywheel energy storage/sliding mode control/Kalman filter/fuzzy control分类
能源与动力引用本文复制引用
王世奇,刘广忱,陈国伟,张建伟,姚强,田桂珍..基于模糊卡尔曼滤波和改进滑模控制的风电场飞轮储能控制策略[J].可再生能源,2024,42(7):901-907,7.基金项目
国家自然科学基金项目(51867020) （51867020）
内蒙古自治区科技重大专项(2020ZD0014,2021ZD0040). （2020ZD0014,2021ZD0040）
