基于T-S模糊决策的PMSG风电系统广义预测控制  

Generalized Predictive Control Based on T-S Fuzzy Decision for PMSG Wind Power System

作　　者：安爱民[1] 杨国强[2] 张浩琛[1] 王静[3] 吕斌[4] 杨志强[5] 

机构地区：[1]兰州理工大学电气工程与信息工程学院,甘肃兰州730050 [2]国网甘肃省电力公司经济技术研究院,甘肃兰州730050 [3]国网甘肃省电力公司兰州供电公司,甘肃兰州730070 [4]国网甘肃省电力公司电力科学研究院,甘肃兰州730050 [5]国网甘肃省电力公司武威供电公司,甘肃武威733000

出　　处：《自动化仪表》2016年第9期1-5,共5页Process Automation Instrumentation

基　　金：国家自然科学基金资助项目(编号:61563032);甘肃省自然科学基金资助项目(编号:145RJZ024)

摘　　要：为提高风力发电系统在额定风速下的最大风能追踪性能,以永磁同步风力发电机(PMSG)为研究对象,采用局部等效建模方法,获得PMSG多工况运行的T-S模糊模型。以模糊规则后件作为受控自回归增量滑动平均(CARIMA)模型,采用广义预测控制(GPC)算法,对各模糊规则设计独立的GPC控制器,预测PMSG转速输出。仿真结果表明,在阶跃风速和组合风速的扰动下,基于T-S模糊决策的PMSG转速输出(如调节时间和超调量)较PI方法有明显下降,转速响应速度有大幅提高,最佳叶尖速比稳定在最优值,风能利用率显著提升。In order to improve and enhance the tracking performance for the maximum wind energy under the rated wind speed in wind power generation system,with the permanent magnet synchronous wind power generator （PMSG） as the research object, by the method of local equivalent modeling, the T-S fuzzy model of PMSG working under multiple operating conditions is obtained. Considering the consequent of fuzzy rules as CARIMA prediction model, generalized predictive control algorithm is used to design the independent GPC controller of each fuzzy rule, to forecast output of rotating speed of PMSG. The results of simulation show that under step wind speed or combined wind speed disturbance, comparing with PI method, the regulation time and overshoot of the output of rotating speed of the T-S fuzzy decision based PMSG are obviously decreased, while the response speed is greatly increased; the optimal tip speed ratio is stabilized around the optimum value, and the utilization of wind energy is enhanced.

关 键 词：风电系统 永磁同步风力发电机 T - S 模糊模型 控制器 额定风速 最大风能追踪 广义预测控制 风能利用率 

分 类 号：TH7[机械工程—仪器科学与技术] TP27[机械工程—精密仪器及机械]