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汽轮机变工况下调节级压力预测模型及应用 被引量:8

Prediction Model and Application of Turbine Regulating Stage Pressure Under Variable Conditions
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摘要 为监视汽轮机通流部分的健康状况和进行故障早期诊断,以汽轮机变工况计算为理论基础,基于弗留格尔公式和Weierstrass逼近定理,建立了调节级压力的多元回归模型。根据某660MW间接空冷机组大修后的运行数据对模型进行回归分析和验证,结果表明:模型具有很高的拟合度,自变量对因变量影响显著;稳态工况时,预测结果与实测值趋势一致,相对误差约为1.2%,实现了变工况下调节级压力软测量。将模型应用于电厂分布式控制系统中,建立了汽轮机通流部分故障的预警系统。 Using the calculation of the variable conditions for steam turbines as the theoretical basis, a multivariate regression model for regulating pressure was established based on the Frugell formula and the Weierstrass approximation theorem. According to the historical operation data of a 660MW generating set, the model was subjected to regression analysis and verification. The results show that the model has a high degree of fit, and the independent variable has a significant influence on the dependent variable;When the steady state conditions are met, the predicted results are consistent with the measured values and the relative error is about 1.2%, which enable soft pressure measurement of the regulation stage. The model was applied to the distributed control system (DCS) of the power plant, and an on-line warning system was established to adjust the pressure anomaly and the partial flow malfunction in the turbine under variable conditions.
作者 罗云 陈雪林 李瑞东 苏永健 徐义巍 晁俊凯 李鹏竹 任海彬 LUO Yun;CHEN Xuelin;LI Ruidong;SU Yongjian;XU Yiwei;CHAO Junkai;LI Pengzhu;REN Haibin(Ningxia Ningdong Power Generation Co., Ltd., Yinchuan 750001, Ningxia Hui Autonomous Region, China;Beijing Jing Business-intelligence of Oriental Nations Corporation Ltd.,Chaoyang District, Beijing 100012, China;Beijing Jingneng Power Co., Ltd., Chaoyang District, Beijing 100025, China)
出处 《发电技术》 2019年第2期161-167,共7页 Power Generation Technology
关键词 汽轮机 故障诊断 调节级压力 预测模型 多元回归分析 分布式控制系统(DCS) steam turbine fault diagnosis regulation stage pressure predicted model multiple regression analysis distributed control system(DCS)
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