基于风速和空气密度估计的最大风能捕获  

Maximized Wind Energy Capture Based on Estimation of Wind Speed and Air Density

作　　者：柳明[1] 柳文[2] 

机构地区：[1]华南理工大学电力学院,广东省广州市510641 [2]广东工业大学建设学院,广东省广州市510090

出　　处：《电网技术》2009年第1期56-60,共5页Power System Technology

基　　金：国家自然科学基金重点项目(60534040)~~

摘　　要：针对基于双馈电机(doubly fed induction generator,DFIG)的风力发电系统,讨论了无风速测量数据情况下的最大风能捕获问题。准确的风速估计必须考虑空气密度的变化,给出通过对风机状态的离散采样实现空气密度估计的方法,利用修正后的空气密度对风速进行更为准确的估计,从而得到最优的转速设定,实现风能的最大捕获。控制器采用矢量控制技术,即利用转子侧电流的q轴分量进行转速控制,利用d轴分量实现系统铜耗的最小化。采用比例-积分控制器实现了上述控制目标。仿真分析验证了上述控制策略的有效性。The maximized wind energy capture for wind power generation system based on doubly fed induction generators （DFIG） is researched while the wind speed measurement data is devoid. Because it is necessary for wind speed estimation to consider the variation of air density, a method to implement air density estimation by discrete sampling of the state of DFIG is proposed. Using the modified air density to estimate wind speed more accurately, the optimal rotating speed setting can be realized and the maximized wind energy capture can be implemented. Vector control technology is applied to the controller, that is, the rotating speed is controlled by q-axis component of rotor current while the minimized copper of the system is realized by d-axis component of rotor current. Above-mentioned control purpose is implemented by PI controller, and the simulation results based on Simulink proves the validity of the presented approach.

关 键 词：双馈电机 空气密度估计 最大风能捕获 

分 类 号：TM614[电气工程—电力系统及自动化]