基于最小二乘支持向量机的风力发电机组风速软测量  

Wind speed soft sensor for wind turbines based on least square SVM

作　　者：纪国瑞[1] 董泽[2] 韩璞[2] 徐大平[2] 

机构地区：[1]华北电力大学热能与动力工程系,北京102206 [2]华北电力大学控制理论与工程学院,河北保定071003

出　　处：《中国电力》2009年第2期75-78,共4页Electric Power

基　　金：国家自然科学基金资助项目(5067702);华北电力大学重大科研基金资助项目(20041306)

摘　　要：风力发电机组的有效风速无法直接测得。依据辅助变量与主导变量之间的数学关系,建立风力机有效风速最小二乘支持向量机软测量模型;通过对辅助变量的测量和计算,可得到风力机有效风速的估计值,实现风力发电机组的有效风速软测量。计算机仿真结果表明,最小二乘支持向量机软测量模型具有泛化能力强和计算效率高的优点;能够满足风速的大范围变化和风力发电机组控制实时性的要求。The effective wind speed for a wind turbine can not be measured directly. Soft sensor modeling for effective wind speed was proposed based on least square support vector machine, and the effective wind speed was estimated by other parameters that can be measured. The computer simulation results show that the proposed soft sensor model has two advantages of good generalization ability and high computation efficiency. It satisfies the large-scale variety of wind speed and real-time control requirements of wind turbines.

关 键 词：最小二乘支持向量机 风力机 风速测量 软测量 

分 类 号：TM315[电气工程—电机]