基于信息融合技术的风煤比优化控制研究

Study of the Optimized Control of Air/coal Ratio Based on the Information Fusion Technology

火电厂燃烧控制系统大延迟,大时间常数的特性,传统协调控制很难快速准确的实现主蒸汽压力的稳定。采用辐射能与热量信号进行信息融合,并设计风煤比优化算法搜索最佳风煤比,可以实现快速响应燃烧率的变化。实验表明,信息融合算法提高了动态响应的快速性,在线调节风煤比优化算法使稳态过程烟气含氧量平均下降了1.09%,燃料比优化前燃烧更充分,给煤量减少了3%～5%,燃烧经济性提高。

Due to a long delay and a big time constant of the combustion control system of a power plant,it is very difficult for a traditional coordination and control system to quickly and precisely realize a stabilization of the main steam pressure.The radiant energy and heat quantity signal were used to perform an information fusion and an algorithm for optimizing the air/coal ratio was designed,making it possible to realize a quick response to a change of the combustion rate.The test results show that the information fusion-based algorithm can quicken the dynamic response and the on-line regulation air/coal ratio optimization algorithm can result in a reduction of the oxygen content of the flue gas by 1.09% averagely during a stable state process,make it possible for the fuel to burn more sufficiently compared with the combustion before the optimization and reduce the coal feed by 3%-5%,thus leading to an enhancement of the combustion cost-effectiveness.