汽轮机变工况下调节级压力预测模型及应用

Prediction Model and Application of Turbine Regulating Stage Pressure Under Variable Conditions

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.