Application of Constrained Predictive Control in Steam Temperature Control System of Low NOx Combustion Power Unit

doi:10.11930/j.issn.1004-9649.201605071

Abstract

Abstract: In view of the problems of combustion delay and steam temperature heavy fluctuation in the generation process of a low NO_x combustion power plant, a predictive control algorithm with constrained optimization is proposed and applied to the superheated steam temperature control system of the power plant to construct a cascade compensation predictive control system, which is verified through simulation. The simulation results show that with the constraints of the superheated steam temperature cascade predictive control system, the controlled variable can be restrained effectively within the constraint range, and the system has the anti-jamming and robustness characteristics better than those of the conventional control system. Therefore, the superheated steam temperature control quality has been greatly improved.

Key words: thermal power generation, cascade control, constrainted predictive control, steam temperature

CLC Number:

TK323

QIAN Hong, Chen Dan, YANG Zukui, ZHENG Pengyuan. Application of Constrained Predictive Control in Steam Temperature Control System of Low NO_x Combustion Power Unit[J]. Electric Power, 2017, 50(10): 129-135.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201605071

https://www.electricpower.com.cn/EN/Y2017/V50/I10/129

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Application of Constrained Predictive Control in Steam Temperature Control System of Low NO_x Combustion Power Unit

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