风能转换系统的建模与复合控制研究  

Modeling and Compound Control for Wind Energy Conversion System

作　　者：司文建[1] 王武[2] 

机构地区：[1]许昌学院计算机科学与技术学院,河南许昌4610000 [2]许昌学院电气信息工程学院,河南许昌461000

出　　处：《机械设计与制造》2013年第11期214-216,220,共4页Machinery Design & Manufacture

基　　金：河南省科技厅科技攻关计划资助项目(122102210416);河南省教育厅科学技术研究重点项目(12A470007)

摘　　要：在大型风电项目建设之前进行建模和仿真具有重要的指导意义,结合空气动力学子系统、机械传动链子系统和简化的电磁子系统,构建了永磁同步风力发电系统模型,作为研究控制性能的被控对象。风速的随机性和不确定性会导致风电场输出功率的随机波动,甚至影响电网的安全运行和电能质量,传统控制手段难以实现有效的控制,需要先进的控制手段。提出构建复合控制器,以小脑模型神经网络进行模型逼近,构造前馈控制,以传统PID为反馈控制的控制方式,给出了具体的控制算法。通过仿真可见,所建模型有助于研究风电系统的功率特性和跟踪性能,将滑模控制应用于所构建的风力发电系统中,能实现良好的功率跟踪,能够确保最大风能捕获。Modeling and simulation have important guiding significance for large wind power project,and the PMSG-based wind power system was corstructed with mathematical models of aerodynamics subsystem,drive train subsystem and simplified electromagnetic subsystem were proposed,which as the controlled plant for control feature anaiysis.Fluctuation and uncertainty are the characteristics of wind energy which cause wind energy output power fluctuation,even influence the grid stability and power quality,and traditional control strategy is difficult to achieve effective control and advanced control was required Cerebellum model articulation controller was presented for model identification and feed forward control,and the traditional PID control as feedback control,the compound control algorithm was programmed The simulation result shows this model is of more important significance on researching the power characteristic and control performance for power generation system,the compound control with high power tracking performance,which can effectively implement maximum energy capture.

关 键 词：风能转换系统 建模 小脑模型关节控制器 复合控制 仿真 

分 类 号：TH16[机械工程—机械制造及自动化] TK81[动力工程及工程热物理—流体机械及工程]