基于故障预警系统的燃煤发电设备状态检修
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摘要
基于故障预警系统的状态检修是随状态监测技术发展起来的至今最先进的检修方式。20世纪90年代中国开始推行发电设备状态检修,成效明显者寥寥。为切实推行发电设备状态检修方式,某发电集团从2008年开始引进、开发并推广应用了利用相似性原理建模技术的发电设备故障预警系统。介绍了该系统的机理,并用汽轮机、锅炉、电气和化学专业各1个预警案例阐述故障预警系统在燃煤发电设备状态检修中的有效应用情况,最后就如何将两者更好地结合提出了建议。
The state-based maintenance is by far the most advanced maintenance mode with the development of condition monitoring technology. Since the 1990 s, the state-based maintenance of power generation equipment has been implemented in China, but with very few remarkably successful cases. In order to practically implement the state-based maintenance of power generation equipment,a power generation group has introduced, developed and popularized an early fault warning system based on similarity modeling technology for the power generation equipment since 2008. This paper introduces the mechanism of the system, and illustrates how the early fault warning system was effectively applied in the state-based maintenance of coal-fired power generation equipment with the case studies in steam turbine, boiler, electrical elements and chemical elements, respectively. At last, some suggestions are put forward on how to integrate them in a better way.
The state-based maintenance is by far the most advanced maintenance mode with the development of condition monitoring technology. Since the 1990 s, the state-based maintenance of power generation equipment has been implemented in China, but with very few remarkably successful cases. In order to practically implement the state-based maintenance of power generation equipment,a power generation group has introduced, developed and popularized an early fault warning system based on similarity modeling technology for the power generation equipment since 2008. This paper introduces the mechanism of the system, and illustrates how the early fault warning system was effectively applied in the state-based maintenance of coal-fired power generation equipment with the case studies in steam turbine, boiler, electrical elements and chemical elements, respectively. At last, some suggestions are put forward on how to integrate them in a better way.
引文
[1]张广才,周科,鲁芬,等.燃煤机组深度调峰技术探讨[J].热力发电,2017,46(9):17-23.ZHANG Guangcai,ZHOU Ke,LU Fen,et al.Discussions on deep peaking technology of coal-fired power plants[J].Thermal Power Generation,2017,46(9):17-23.
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[12]李冰,陈刚,王超,等.沙角C电厂660 MW机组动力设备状态检修实施[J].中国电力,2006,39(6):38-40.LI Bing,CHEN Gang,WANG Chao,et al.Implementation of condition-based maintenance for the power equipment in 660 MWunits of Shajiao C Power Station[J].Electric Power,2006,39(6):38-40.
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[14]李耀君,于新颖.火电厂设备状态检修技术[J].中国电力,2005,38(4):9-15.LI Yaojun,YU Xinying.Condition-based maintenance technology of equipment in thermal power plants[J].Electric Power,2005,38(4):9-15.
[15]滕卫明,刘林,卢伟明,等.基于SBM技术的发电设备故障预警系统研究[J].中国电力,2015,48(1):40-46.TENG Weiming,LIU Lin,LU Weiming,et al.Study on SBM-based failure prognostic system for power generation equipments[J].Electric Power,2015,48(1):40-46.
[16]杨勤,杨茉,张震伟.发电设备故障预警系统在电厂节能监督中的应用[J].能源工程,2017(3):75-80.YANG Qin,YANG Mo,ZHANG Zhenwei.Application of the power generation equipment failure early-warning system on energy conservation supervision in the coal-fired power plant[J].Energy Engineering,2017(3):75-80.
[17]刘鑫沛.基于相似性建模的发电设备故障预警方法研究[D].北京:华北电力大学,2014.LIU Xinpei.Failure warning method of power generating equipment based on similarity modeling[D].Beijing:North China Electric Power University,2014.
[18]金玄玄.集团发电设备故障预警系统在嘉兴电厂的应用[J].仪器仪表用户,2015,22(1):63-65.JIN Xuanxuan.Application of fault warning system group power equipment in Jiaxing Power Plant[J].Electronic Instrumentation Customers,2015,22(1):63-65.
[19]王会勤,徐智伟.在线诊断预警系统在温州电厂实际应用总结[J].仪器仪表用户,2015,22(1):66-69.WANG Huiqin,XU Zhiwei.Practical application conclusion in online diagnosis of early warning systems[J].Electronic Instrumentation Customers,2015,22(1):66-69.
[20]吴国潮.设备故障预警系统的设计与实践[J].自动化与仪表,2015(9):10-13,59.WU Guochao.Design and practice of power generation equipment fault warning system[J].Automation&Instrumentation,2015(9):10-13,59.
[2]叶新福.国产300 MW机组深度调峰运行的可靠性和经济性研究[J].中国电力,1999,32(9):24-26.YE Xinfu.Study on reliability and economics of indigenous 300 MWgenerating units under deep cyclic operation[J].Electric Power,1999,32(9):24-26.
[3]章良利,李敏,周晓蒙,等.深度调峰下燃煤机组运行方式对能耗的影响[J].中国电力,2017,50(7):85-89.ZHANG Liangli,LI Min,ZHOU Xiaomeng,et al.Impact of the running modes of coal-fired units on energy consumption in in-depth peak load cycling[J].Electric Power,2017,50(7):85-89.
[4]国家电力公司.火力发电厂实施设备状态检修的指导意见[J].中国电力,2002,35(2):1-5.State Power Corporation.Guiding opinions on the implementation of equipment state repair in thermal power plant[J].Electric Power,2002,35(2):1-5.
[5]申弢,陈晋龙,丁霞.成功实施发电设备状态检修的要素[J].中国电力,2002,35(3):27-30.SHEN Tao,CHEN Jinlong,DING Xia.Essentials for successful implementation of condition-based maintenance for equipment in power plants[J].Electric Power,2002,35(3):27-30.
[6]林华,李军.发电设备状态检修平台总体方案的研究与探讨[J].继电器,2004,32(7):65-69.LIN Hua,LI Jun.Research and discussion on the framework of condition maintenance of electric equipment[J].Relay,2004,32(7):65-69.
[7]孟凡强,许克明,王亮,等.电力市场下的发电机组状态检修[J].电力系统自动化,2004,28(17):41-44.MENG Fanqiang,XU Keming,WANG Liang,et al.Generator condition based maintenance scheduling of electricity market[J].Automation of Electric Power Systems,2004,28(17):41-44.
[8]郭爱文,盛赛斌,刘宏伟,等.状态检修技术在电厂给水泵检修中的应用[J].电力建设,2003,24(8):55-57.GUO Aiwen,SHENG Caibin,LIU Hongwei,et al.Application of status maintenance technique in maintenance of feed pumps in power plants[J].Electric Power Construction,2003,24(8):55-57.
[9]陈非,黄树红,丘纪华,等.660 MW机组给水泵状态检修支持系统设计[J].热力发电,2008,37(3):67-71.CHEN Fei,HUANG Shuhong,QIU Jihua,et al.Design of the supporting system for condition based maintenance of feed water pumps for 660 MW thermal power unit[J].Thermal Power Generation,2008,37(3):67-71.
[10]王超,陈刚,李冰,等.660 MW机组HP碗式中速磨煤机状态检修的研究[J].电站系统工程,2006,22(4):27-29.WANG Chao,CHEN Gang,LI Bing,et al.A study of conditionbased maintenance for HP medium speed mills of 660 MW units[J].Power System Engineering,2006,22(4):27-29.
[11]陈刚,李冰,王超,等.660 MW机组引风机的状态检修[J].动力工程,2006,26(5):703-706,711.CHEN Gang,LI Bing,WANG Chao,et al.Condition based maintenance of a 660 MW set's induced fans[J].Journal of Power Engineering,2006,26(5):703-706,711.
[12]李冰,陈刚,王超,等.沙角C电厂660 MW机组动力设备状态检修实施[J].中国电力,2006,39(6):38-40.LI Bing,CHEN Gang,WANG Chao,et al.Implementation of condition-based maintenance for the power equipment in 660 MWunits of Shajiao C Power Station[J].Electric Power,2006,39(6):38-40.
[13]张勇,曹先常,蒋安众,等.以可靠性为中心的电站风机状态检修技术研究与分析[J].华东电力,2003(3):1-4,53.ZHANG Yong,CAO Xianchang,JIANG Anzhong,et al.Research and analysis of reliability-centered conditional maintenance technology of fans in power plants[J].East China Electric Power,2003(3):1-4,53.
[14]李耀君,于新颖.火电厂设备状态检修技术[J].中国电力,2005,38(4):9-15.LI Yaojun,YU Xinying.Condition-based maintenance technology of equipment in thermal power plants[J].Electric Power,2005,38(4):9-15.
[15]滕卫明,刘林,卢伟明,等.基于SBM技术的发电设备故障预警系统研究[J].中国电力,2015,48(1):40-46.TENG Weiming,LIU Lin,LU Weiming,et al.Study on SBM-based failure prognostic system for power generation equipments[J].Electric Power,2015,48(1):40-46.
[16]杨勤,杨茉,张震伟.发电设备故障预警系统在电厂节能监督中的应用[J].能源工程,2017(3):75-80.YANG Qin,YANG Mo,ZHANG Zhenwei.Application of the power generation equipment failure early-warning system on energy conservation supervision in the coal-fired power plant[J].Energy Engineering,2017(3):75-80.
[17]刘鑫沛.基于相似性建模的发电设备故障预警方法研究[D].北京:华北电力大学,2014.LIU Xinpei.Failure warning method of power generating equipment based on similarity modeling[D].Beijing:North China Electric Power University,2014.
[18]金玄玄.集团发电设备故障预警系统在嘉兴电厂的应用[J].仪器仪表用户,2015,22(1):63-65.JIN Xuanxuan.Application of fault warning system group power equipment in Jiaxing Power Plant[J].Electronic Instrumentation Customers,2015,22(1):63-65.
[19]王会勤,徐智伟.在线诊断预警系统在温州电厂实际应用总结[J].仪器仪表用户,2015,22(1):66-69.WANG Huiqin,XU Zhiwei.Practical application conclusion in online diagnosis of early warning systems[J].Electronic Instrumentation Customers,2015,22(1):66-69.
[20]吴国潮.设备故障预警系统的设计与实践[J].自动化与仪表,2015(9):10-13,59.WU Guochao.Design and practice of power generation equipment fault warning system[J].Automation&Instrumentation,2015(9):10-13,59.