摘要
监测机组实时运行状态,尤其是异常状态,是发电集团日常管理的重要内容。采用在线监测技术,开发机组状态管理模块,可对火电机组进行启停、降出力实时监督管理,得到机组状态切换的准确时间。相较于人工监测,在线监测漏报率低、判定准确性提高,减少了信息处理的时间。通过对历史数据的挖掘寻找合适特征值,开发降出力模型,实现了降出力事件的自动监测,解决人工识别时数据难以采集、与主动降出力信息划分边界模糊等问题。通过在线分析和专家验证形成闭环管理,有利于即时对设备进行监管,为经营决策提供数据支持。
The power generation group is responsible for the real-time operation status of the unit,especially the abnormal status,which is an important part of daily management.Taking the online monitoring technology to develop the unit status management module,real-time supervision and management on the start-stop and derated output of thermal power units are carried out.The real-time tracking provides accurate time of unit state switching.Compared with manual supervision,online monitoring is of a lower under-reporting rate,better determination accuracy and reduced information processing time.Through mining historical data,suitable eigenvalues and derated output model are developed,and the automatic monitoring of derated output events is realized,which solves the problems that the data is difficult to collect within manual recognition and the boundary of the active derating output is blurred.A closed-loop management is made up by online analysis and expert verification,which facilitates the immediate supervision on equipment and provides data support for business decisions.
作者
冯泽磊
吴美凤
FENG Zelei;WU Meifeng(Guodian Nanjing Automation Company Limited,Nanjing 211153,Chian)
出处
《华电技术》
CAS
2019年第4期29-32,37,共5页
HUADIAN TECHNOLOGY
关键词
状态管理
非计划停机
降出力
大数据
state management
unplanned shutdown
derated output
big data
