电力系统自动化2016，Vol.40Issue(22)：100-104,124,6.DOI:10.7500/AEPS20150922011
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
赵洪山 1张健平 2王桂兰 1连莎莎3
作者信息
- 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
- 折叠
摘要
Abstract
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 influ-enced 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Key words
wind turbine/state estimation/hydraulic variable-pitch system/state observer/adaptive threshold引用本文复制引用
赵洪山,张健平,王桂兰,连莎莎..基于状态估计的风电机组液压变桨距系统故障检测[J].电力系统自动化,2016,40(22):100-104,124,6.
