双馈风电机组的小信号分析及其控制系统的参数优化  

Small-signal Analysis and Control System Parameter Optimization for DFIG Wind Turbines

作　　者：林今[1] 李国杰[1] 孙元章[1] 黎雄[1] 

机构地区：[1]清华大学电机系电力系统及发电设备控制和仿真国家重点实验室,北京市100084

出　　处：《电力系统自动化》2009年第5期86-90,95,共6页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(50823001)~~

摘　　要：为了更好地研究及优化并网型双馈风电机组的动态特性,建立了其工作在额定风速以上时的总体模型,并对该模型进行线性化;通过小信号分析,获得了风电机组并入系统后的特征根。使用相关因子的对比分析方法,对特征根进行了分类;然后利用控制器参数对系统特征根灵敏度,提出了以灵敏度加权平方和最小为目标的控制系统参数优化模型及求解算法,协调优化双馈风电机组的励磁及桨距控制器的参数。最后利用频域分析及时域仿真,验证了该优化算法的有效性。To achieve the better dynamic performance of grid-connected double fed induction generator （DFIG） wind turbines, a mathematical model at and above rated wind speed with generator exciter and pitch angle control is established. The model is linearized to process small-signal analysis, and the eigen-values of the DFIG connected to the power grid are obtained. According to the comparison of participation factors, the eigen-values of grid-connected DFIG are classified. Then, based on the parameter sensitivity analysis, an optimal model and algorithm is proposed to minimize the weighted sum of squares of sensitivity, and the parameters of DFIG＇s exciter and pitch angle controllers are optimized coordinately. The validity of the proposed algorithm is verified by frequency analysis and time domain simulation.

关 键 词：双馈风电机组 励磁控制 桨距控制 小信号分析 参数灵敏度 参数优化 

分 类 号：TM614[电气工程—电力系统及自动化] TM761