基于辐射能检测的智能燃烧进化优化系统研究

A Study of the Optimization System of Radiation Energy Detection-based Intelligent Combustion Evolution

辐射能信号能够更加直接地反映燃料量或燃烧品质的变化 ,在此建立基于辐射能检测的智能燃烧进化优化系统 ,实现热力控制系统参数的进化优化整定。设计了由烟气含氧量与炉膛总辐射能的模糊自寻优控制器和风煤比进化优化器组成的燃烧优化回路。仿真结果和开原热电厂的现场运行结果证实了该方法的实用性和优越性。

Radiation energy signals are capable of more directly reflecting the variation of fuel flow rate or combustion quality. An optimization system of radiation energy detection-based intelligent combustion-evolution has been set up to implement the evolution-optimization adjustment of the parameters of a thermodynamic control system. A combustion optimization circuit was designed, which consists of two parts: a fuzzy self-optimizing controller of flue-gas oxygen content and furnace total radiation energy, and an air coal ratio evolution optimizer. The results of a simulation and the on-site operation results at Kaiyuan Thermal Power Plant have demonstrated the practicality and superiority of the adopted method.