Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms

doi:10.11930/j.issn.1004-9649.201901009

Abstract

Abstract: For the denitrification control system of large thermal power unit, because of the characteristics of its controlled object, such as the large time delay and inertia, the impacts from multiple interference factors and model variations under different loads, traditional PID control strategy cannot meet the requirements. Regarding this problem, a multi-variable model of denitrification system is constructed by recursive least square method, and then an optimal control strategy for denitrification system is established based on multi-variable generalized predictive control. Meanwhile, this strategy has been applied in 330 MW subcritical unit of a power plant. From the practical results it is shown that the proposed denitration optimization control strategy based on multi-variable generalized predictive control has effectively controlled NO_x concentration at the denitration outlet and suppressed the fluctuation of NO_x concentration, whether the system is operated under steady state or complex variable load conditions. The usage of urea has also been reduced such that the stable and economic operation of the denitration system is achieved.

Key words: thermal power generating unit, denitration system, optimize control, multi-variable generalized predictive control, NO_x at outlet

CLC Number:

ZHANG Xiaodong, WANG Pengfei, LIU Le. Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms[J]. Electric Power, 2019, 52(10): 178-184.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201901009

https://www.electricpower.com.cn/EN/Y2019/V52/I10/178

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