山东电力高等专科学校学报

为提升300 MW机组燃煤锅炉热效率，减少NO_x减排，提出了多参数协同智能调控策略。通过智能PID控制器优化一次风速的均匀性，采用模糊控制动态调整各层二次风门的开度，利用自适应算法匹配总风量，应用优化算法调节燃烧器摆角，基于在线煤质数据实时调整煤粉细度及燃尽风、周界风。采用多参数协同智能调控策略后锅炉热效率提升1.5%,NO_x质量浓度降低20%，飞灰含碳量显著下降，运行工作量减少40%，实现了燃煤锅炉能效与环保协同优化。

To improve the thermal efficiency of coal-fired boilers for 300 MW units and reduce NO_x emissions,a strategy regarding multi-parameter collaborative intelligent regulation is proposed.The uniformity of primary air velocity is optimized through an intelligent PID controller,the opening of secondary air dampers at each layer is dynamically adjusted using fuzzy control,the total air volume is matched through an adaptive algorithm;the burner tilt angle is regulated by an optimization algorithm,and based on online coal quality data real-time adjustments are made to pulverized coal fineness,as well as overfire air and surrounding air.After implementing the multi-parameter collaborative intelligent regulation strategy,the boiler thermal efficiency is improved by1.5%,the mass concentration of NO_x is reduced by 20%,the carbon in fly ash is significantly reduced,the operational workload is decreased by 40%,and the synergistic optimization of energy efficiency of coal-fired boilers and environmental protection is achieved.