基于状态估计的风电机组液压变桨距系统故障检测  

State Estimation Based Fault Detection of Hydraulic Variable-pitch System for Wind Turbines

作　　者：赵洪山[1] 张健平[2] 王桂兰[1] 连莎莎 

机构地区：[1]华北电力大学电气与电子工程学院,河北省保定市071003 [2]国网沧州供电公司,河北省沧州市061000 [3]国网河北省电力公司物资分公司,河北省石家庄市050031

出　　处：《电力系统自动化》2016年第22期100-104,124,共6页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(51277074)~~

摘　　要：液压变桨距系统是风电机组的高频故障部件之一,对其进行早期故障检测,可以有效地提高风电机组运行的可靠性,减少不必要的经济损失。风电机组所受环境因素干扰较多,而基于数据的故障检测方法易受这些因素的影响造成误报警,并且故障分离较为困难。因此,本文提出基于状态估计的方法对风电机组液压变桨距系统进行故障检测。首先,构建风电机组液压变桨距系统的状态空间模型及其状态观测器,利用液压变桨距系统模型的实际输出与状态观测器输出产生残差;其次,将残差的均方根作为残差估计函数,并配合自适应阈值进行决策。最后,以液压变桨距执行机构故障和节距角传感器故障为例,通过仿真验证了该方法的有效性。The hydraulic variable-pitch system is one of the components of wind turbines frequently prone to faults.Early fault detection of the hydraulic variable-pitch system can effectively improve operation reliability and reduce unnecessary economic loss.Wind turbines suffer much environmental interference,while data-based fault detection is apt to lead to false alarms influenced by these factors.In addition,fault isolation is considerably hard.For this reason,a state estimation approach is proposed to remedy the situation.First,a state space model and state observer of hydraulic variable-pitch system are developed to obtain the residual.Secondly,the residual root mean square（RMS）is used as the residual evaluation function,and an adaptive threshold is used to make decisions.In the end,by simulating the hydraulic variable-pitch actuator fault and pitch-angle sensor fault,the ef-fectiveness of the proposed fault detection approach is verified.

关 键 词：风电机组 状态估计 液压变桨距系统 状态观测器 自适应阈值 

分 类 号：TM614[电气工程—电力系统及自动化]