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

doi:10.12096/j.2096-4528.pgt.18173

Abstract

Abstract:

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.

Key words: steam turbine, fault diagnosis, regulation stage pressure, predicted model, multiple regression analysis, distributed control system(DCS)

Yun LUO,Xuelin CHEN,Ruidong LI,Yongjian SU,Yiwei XU,Junkai CHAO,Pengzhu LI,Haibin REN. Prediction Model and Application of Turbine Regulating Stage Pressure Under Variable Conditions[J]. Power Generation Technology, 2019, 40(2): 161-167.

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