基于动态线性自回归预测及燃烧状态观测器的锅炉控制系统

针对火电机组锅炉控制系统由于燃烧过程滞后而导致的主蒸汽压力波动大等问题,提出了一种新型的锅炉控制系统。利用改进线性自回归预测算法及燃烧状态观测器,分别从压力变化及燃烧过程角度对燃料量需求值进行修正,将修正信号作为前馈引入锅炉控制系统以提高机组主蒸汽压力的稳定性。以可编程控制器作为硬件平台,依据自动发电控制(AGC)考核内容在APROS仿真平台上针对某300 MW机组的高低负荷段分别进行10%MCR和5%MCR单向升降负荷试验,结果表明,基于动态线性自回归预测及燃烧状态观测器的新型锅炉控制系统在提高机组负荷响应速度的同时保证了主蒸汽压力良好的跟随性,提高了机组的AGC响应能力和品质,具有一定的工程应用价值。

Boiler Control System Based on Dynamic Linear Regressive Predictive Algorithm and Burning State Observer

Aiming at the problem of large main steam pressure fluctuations caused by the burning process lag in the boiler control system of the thermal power generator units, a new boiler control system is proposed. The auto-regressive predictive control algorithm and the burning state observer are used to correct the required fuel volume from the aspects of pressure variations and the burning process, and the corrected signal is introduced into the boiler control system as feedforward to increase the stability of main team pressure control. Using PLC as the central controller,the loading simulation at 5%MCR and 10%MCR is conducted on the APROS simulation model of a 300 MW thermal power unit according to the AGC specifications. The simulation results show that the new boiler control system can not only accelerate the load response speed, but also ensure the better tracking performance of main steam pressure control. It improves the responding capabilities and qualities of AGC and is valuable for practical applications.