协整分析下的风力发电机状态监测方法
Monitoring Method of Wind Turbine State Under Cointegration Analysis
张超 1武越 1郑思遥1
作者信息
- 1. 内蒙古科技大学内蒙古自治区机电系统智能诊断与控制重点实验室,内蒙古 包头 014010
- 折叠
摘要
为解决风力发电机组SCADA系统受到环境及运行等因素影响,系统常发生误报与漏报等问题,通过采用协整分析的方法,选取包头市某风场1.5MW双馈风力发电机正常运行状态下的部分非平稳SCADA数据建立了协整模型,得到携带有风力发电机运行状态信息的协整残差,并且用一组已知电气故障数据对模型进行验证.结果表明,该方法可有效的降低SCADA数据中由于环境和运行因素所引起的响应,准确识别风力发电机的运行状态,简单有效的实现了风力发电机的状态监测.
Abstract
In order to solve the problem that the SCADA system of wind turbines is affected by factors such as environment and op-eration,the system often has problems such as false alarms and missing reports,through the use of cointegration analysis meth-od,the normal operation status of a 1.5MW double-fed wind turbine in a wind farm in Baotou is selected Part of the non-station-ary SCADA data below establishes a co-integration model,and obtains the co-integration residual with the operating state infor-mation of the wind turbine,and verifies the model with a set of known electrical fault data.The results show that this method can effectively reduce the response caused by environmental and operating factors in the SCADA data,accurately identify the operat-ing state of the wind turbine,and simply and effectively realize the state monitoring of the wind turbine.
关键词
协整分析/状态监测/SCADA/风力发电机Key words
Cointegration Analysis/Condition Monitoring/SCADA/Wind Turbine引用本文复制引用
基金项目
国家自然科学基金资助项目(51965052)
内蒙古自治区科技计划项目(2018KG007)
出版年
2023
NETL
NSTL
维普
万方数据