As the emphasis on energy efficiency and environmental protection grows, an intelligent control strategy for the power generation process of gas boilers has become a key approach to optimizing industrial production. This paper presents an intelligent control strategy for a 150 MW ultra-high temperature subcritical gas boiler’s power generation process. The strategy aims to address the issue of frequent manual adjustments to the mixed gas and attemperating water valves due to fuel instability. The proposed strategy achieves stable control of the power generation process and dynamic regulation of the power generation load. It does so by monitoring key operating parameters of the gas boiler in real time, designing an intelligent control strategy that uses three key process variables (main steam temperature, gas equivalent, and attemperating water valve opening degree) as controlled parameters, and implementing expert rule-based control. Operational results demonstrate that this control strategy effectively stabilizes the main steam temperature within the specified process range and enables dynamic regulation of the power generation load. With a system utilization rate exceeding 90% and a reduction in standard coal consumption from 299.8 g/kWh under manual control to 297 g/kWh under automatic control, this strategy effectively stabilizes the power generation process. It significantly improves combustion efficiency, reduces energy consumption, and mitigates environmental pollution. Thus, it has promising practical application prospects.
Zhang et al. (Sun,) studied this question.