基于工况辨识的风电机组主传动系统运行状态监测  

OPERATIONAL STATE MONITORING OF WIND TURBINE MAIN TRANSMISSION SYSTEM BASED ON WORKING CONDITION RECOGNITION

作　　者：陈结 陈换过[1] 肖志奇 解超 Chen Jie;Chen Huanguo;Xiao Zhiqi;Xie Chao(School of Mechanical Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China;China Power Construction Chenzhou New Energy Co.,Ltd.,Chenzhou 423000,China)

机构地区：[1]浙江理工大学机械工程学院,杭州310018 [2]中电建郴州新能源有限公司,郴州423000

出　　处：《太阳能学报》2024年第2期77-85,共9页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(51975535)。

摘　　要：针对风电机组主传动系统运行工况复杂多变,导致状态监测系统误报警率高的问题,提出一种基于工况辨识的风电机组主传动系统运行状态监测方法。首先采用最大互信息系数(MIC)选取数据采集与监视控制系统(SCADA)特征参数,运用k-均值聚类算法对主传动系统运行工况进行划分,解决机组运行状态复杂多变导致运行工况不清的问题;接着提取状态监测系统(CMS)特征参数,并采用层次分析法计算CMS特征参量相对权重,提出主传动系统运行状态评价指标与量化算法;最后利用核密度估计(KDE)方法确定阈值,根据阈值与运行状态指标的关系实现主传动系统异常监测。将该方法运用于实际风场,结果表明所提方法监测结果与实际相符。Aiming at the problem of high false alarm rate of the condition monitoring system caused by complex and changeable operating conditions of the wind turbine main transmission system,a method for monitoring the operational state of the wind turbine main transmission system based on working condition recognition is proposed.Firstly,in order to solve the problem of unclear operating conditions due to complex and variable operational state of wind turbines,the SCADA feature parameters are selected by the maximal information coefficient(MIC),and the operating conditions of the main transmission system are classified by the k-means clustering algorithm.Then the CMS feature parameters are extracted,and the relative weights of CMS feature parameters are calculated by analytic hierarchy process(AHP),and the evaluation index and quantification algorithm of the main transmission system operating condition is proposed.Finally,the threshold value is determined using the kernel density estimation(KDE)method,and the abnormality monitoring of the main transmission system is realized according to the relationship between the threshold value and the operating condition index.The proposed method is applied to a wind farm,and the experimental results show that the monitoring results are consistent with the actual situation.

关 键 词：风电机组 状态监测 数据采集与监视控制系统 状态监测系统 工况划分 

分 类 号：TH17[机械工程—机械制造及自动化]