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火电厂SCR脱硝系统多模型自适应控制 被引量:6

Multi-Model Adaptive Control for SCR DeNO_x System in Power Plant
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摘要 电站SCR脱硝系统被控对象具有大惯性、大迟延特性,且对象参数随负荷变化很大,传统PID不仅控制效果差,更难以在变工况状态下进行有效的控制。为此,针对某电厂600MW机组的脱硝系统,在3个典型负荷工况下进行了喷氨量扰动试验,对每个典型工况设计了具有预估控制功能的二自由度模型驱动PID(MD-TDOF-PID)控制器作为局部控制器,并通过多模型自适应控制策略,实现大范围负荷工况下氮氧化物(NOx)含量的控制。从系统仿真结果来看,无论是稳态还是变负荷工况,所提出的控制方案对SCR出口NOx都可进行有效控制。 The process of power plant dynamic behavior varies widely depending good control performance not only under SCR denitration system is complex due to on the operating conditions. The traditional steady condition but also under varying the large inertia, large time delay and its PID control system is difficult to achieve condition. In this paper, the disturbance experiments of spraying ammonia flow under three typical loads were conducted for the SCR denitration system of a 600MW unit, then the Model-Driven Two-Degree-Of-Freedom PID (MD-TDOF-PID)controller with the function of prediction was designed as a local controller for each typical load and the multi-model adaptive control strategy was used to control the NOx levels under a wide range of load conditions. The experimental results showed that by applying the proposed control strategy, the NOx levels at the exit of SCR denitration system can be effectively controlled in both steady and varying load process.
出处 《自动化与仪器仪表》 2017年第4期4-7,共4页 Automation & Instrumentation
关键词 烟气脱硝系统 选择性催化还原法 自适应控制 模型驱动二自由度PID SCR flue gas denitrification Selective Catalytic Reduction adaptive control MD-TDOF-PID
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