Research on Steam Temperature Control Strategy in Peak Regulation of 1 000 MW Coal Power Unit

doi:10.12096/j.2096-4528.pgt.21024

Abstract

Abstract:

In the response process of rapid peak regulation and frequency regulation of coal-fired units, quickly controlling the steam temperature within a reasonable range is one of the difficulties in the field of automatic control. Due to the large inertia and large delay characteristics of steam temperature, the conventional cascade control often fails to achieve better control results. Meanwhile, advanced algorithms such as model prediction and neural networks are affected by non-linearity, measurement uncertainty and time-varying characteristics of temperature object, which limits their application in actual control. This paper proposed a hybrid control model based on cascade and local Smith prediction. The accurate local Smith prediction model was obtained through parameter identification method, and the steam temperature control strategy based on the hybrid structure was constructed and applied in the 1 000 MW ultra-supercritical boiler desupercritical water system. The results show that the method is efficient, easy to use and stable, which can effectively improve the performance of steam temperature control and achieve good control effects.

Key words: 1 000 MW ultra-supercritical boiler, coal-fired units, steam temperature control, local Smith prediction, peak regulation, frequency regulation

CLC Number:

TK 223

Xiufeng YAN, Ke ZONG, Xiunian HE, Lin GAO, Bin QIN, Mingkun WANG, Wentao HUI. Research on Steam Temperature Control Strategy in Peak Regulation of 1 000 MW Coal Power Unit[J]. Power Generation Technology, 2022, 43(3): 518-522.

Figures/Tables 8

Fig. 1 Schematic diagram of desuperheating water structure

Fig. 2 Cascade PID control model of steam temperature control system

Fig. 3 Smith predictive control model

Fig. 4 Hybrid control model

Fig. 5 Test data of a superheater in a supercritical coal-fired once-through boiler

Tab. 1 Identified model parameters

参数	增益 $K m$	惯性时间 $T m$ /s	延迟时间 $τ m$ /s
数值	1.12	190.99	54.77

Tab. 1 Identified model parameters

参数	增益 $K m$	惯性时间 $T m$ /s	延迟时间 $τ m$ /s
数值	1.12	190.99	54.77

Fig. 6 Comparison of estimated simulation results and test data

Fig. 7 Application of the proposed hybrid control model in an ultra-suppercritical 1 000 MW once-through boiler

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