超超临界锅炉闭环燃烧优化控制方法及应用!

Closed-Loop Combustion Optimization Control Method with Applications of Ultra-Supercritical Boiler

燃烧优化是实现锅炉进一步节能减排的重要手段。针对1 000 MW超超临界锅炉,提出了一种闭环燃烧优化控制方法。首先,采用在线最小二乘支持向量机(LSSVM)建立了燃烧系统的动态模型,以准确描述控制变量、主要扰动与输出参数之间的动态变化关系;然后,结合预测控制的思想,构建了兼顾锅炉效率和NO_x排放的经济性性能指标,并利用非线性优化算法求解滚动优化问题,实现了对配风方式、氧量等运行参数的闭环自动调节;最后,设计、开发了相应的优化控制软件,并成功实现了现场应用。应用结果表明,该方法能够在保证锅炉效率的情况下,明显降低NO_x排放,并有效克服煤种变化和负荷变化的影响。该方法对推动智能控制技术在工业过程中的实际应用具有借鉴意义。

Combustion optimization is an important means to achieve energy conservation and emission reduction of boiler.A closed-loop combustion optimization control method for 1 000 MW ultra-supercritical boiler is proposed.Firstly,in order to properly describe dynamic relations among the controlled variables,the main disturbances and the output variables,the dynamic model of the boiler combustion system is established based on online least square support vector machine （LSSVM） algorithm;then,combined with the idea of predictive control,economic performance indexes that take into account both boiler efficiency and NO x emissions are constructed,and the rolling optimization is solved by using nonlinear optimization to implement closed-loop automatic adjustment of operating parameters,e.g.,air distribution mode and oxygen volume,etc.;finally,the corresponding optimization control software is designed and developed,and the on-site application is successfully implemented.The application results show that the method can significantly reduce NO x emissions while ensuring boiler efficiency,and effectively overcome the effects of coal type changes and load changes.It has reference significance for promoting the practical application of intelligent control technology in industrial processes.