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作 者:崔传涛 罗昆 雷刚 李新营 刘岩 CUI Chuantao;LUO Kun;LEI Gang;LI Xinying;LIU Yan(China Power Hua Chuang Electricity Technology Research Co.,Ltd.,Suzhou 215123,China;CLP Puan Power Generation Co.,Ltd.,Puan 561500,China)
机构地区:[1]中电华创电力技术研究有限公司,江苏苏州215123 [2]中电普安发电有限责任公司,贵州普安561500
出 处:《山东电力技术》2022年第9期72-76,共5页Shandong Electric Power
基 金:国家电力投资集团公司2021年科技项目“基于数字孪生的汽轮机运行趋势预警与寿命管理研究”(ZGDL-KJ-2021-017)。
摘 要:基于机组运行历史数据,通过构建回热系统分析模型,同负荷工况下对比分析回热系统运行参数,采用远程诊断方式对机组给水温度偏低问题进行分析,结果表明机组给水温度偏低主要由加热器换热性能下降、抽汽参数与加热器性能匹配性不佳所致。高压加热器解体情况验证了远程诊断的准确性,运行参数优化及加热器检修提效后,机组给水温度升高2.8℃,提高了机组运行经济性。以大数据为依托对机组故障进行远程诊断,有效缓解机组给水温度偏低的问题。Based on the historical operation data of the unit,by constructing an analysis model of the regenerative system,the operation parameters of the regenerative system are compared and analyzed under the same load condition,and the problem of low feedwater temperature of the unit is analyzed by means of remote diagnosis.The results show that the low feedwater temperature of the unit is mainly caused by the decline of heat exchange performance of the heater and the poor matching between extraction parameters and heater performance.The disintegration of high-pressure heater verified the accuracy of remote diagnosis.Through the optimization of operation parameters and the improvement of heater maintenance,the feed water temperature of the unit increased by 2.8℃,which improved the operation economy of the unit.Relying on big data,remote diagnosis of unit faults can effectively alleviate the problem of low feedwater temperature of the unit.
分 类 号:TK262[动力工程及工程热物理—动力机械及工程]
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