摘要
电站轴流风机的运行状态对烟风系统阻力的变化非常敏感。当烟道阻力增大时,轴流风机易发生抢风失速现象,进而影响电站锅炉机组的安全运行。为准确获取轴流风机的实时运行状态,采用三种测量方法相互协调的方式提高了流量测量准确性,并通过设定不同失速安全阈值确定了风机运行状态的分级预警区。在此基础上,基于C语言开发了轴流风机实时监测和失速预警系统。以浙江某发电机组引风机为例,对该系统进行了现场应用。应用结果表明:该系统可准确评判风机当前的运行状态。当风机运行工况点靠近失速线时,系统可准确发出不同等级的预警信号,提醒运行人员及时调整风机运行状态,保证了风机运行的安全性和可靠性。
The operation status of power station axial fan is very sensitive to the change of flue gas system resistance.When the flue resistance increases,the axial fan is susceptible to the phenomenon of wind grabbing and stalling,which in turn affects the safe operation of power station boiler units.To accurately obtain the real-time operation status of the axial fan,the three measurement methods are coordinated to improve the accuracy of flow measurement,and the graded warning zone of the fan operation status is determined by setting different stall safety thresholds.On this basis,a real-time monitoring and stall warning system for axial fans is developed based on C language.The system is applied on-site by taking the induced draft fan of a generating unit in Zhejiang as an example.Application results show that the system can accurately assess the current operating state of the fan.When the fan running condition point close to the stall line,the system can accurately send out different levels of warning signals to remind the operator to adjust the fan running state in a timely manner,to ensure the safety and reliability of fan operation.
作者
何志瞧
沈利
杨威
琚敏
叶学民
HE Zhiqiao;SHEN Li;YANG Wei;JU Min;YE Xuemin(Zhejiang Zheneng Lanxi Electric Power Generation Co.,Ltd.,Jinhua 321000,China;Zhejiang Zheneng Electric Power Co.,Ltd.,Hangzhou 310007,China;Zhejiang Zheneng Technology Research Institute Co.,Ltd.,Hangzhou 311121,China;Department of Power Engineering,North China Electric Power University,Baoding 071003,China)
出处
《自动化仪表》
CAS
2023年第10期90-94,共5页
Process Automation Instrumentation
基金
河北省自然科学基金资助项目(E2020502013)
浙能集团科技基金资助项目(ZNKJ-2020-034)。
关键词
电站
轴流风机
实时监测
失速线
分级预警
流量测量
运行状态
Power station
Axial fan
Real-time monitoring
Stall line
Graded warning
Flow measurement
Operational status
