摘要
超超临界二次再热蒸汽温度是一个多变量、强耦合的大惯性环节。为保障汽轮发电机组安全稳定运行,结合改进型QPSO算法和多变量广义预测控制MGPC算法,提出改进型QPSO-MGPC二次再热汽温约束控制策略,采用烟气挡板和烟气再循环联合控制方式,在75%和100%额定工况下,对比无约束MGPC、带约束改进型QPSO-MGPC及常规PID三种控制策略,分别对二次再热汽温模型进行仿真研究。结果表明,改进型QPSO-MGPC的二次再热汽温约束控制效果与无约束MGPC控制效果相当,均比常规PID控制效果有极大地提升,能够快速地跟踪设定值,且超调量小,具有良好的抗干扰性能和鲁棒性,能够满足实际生产复杂工况下的需求。
Double reheat steam temperature system of ultra-supercritical unit is a multivariate and strong coupling system with large inertia. The strategy in this paper has been proposed which can ensure the safe and stable operation of the turbo-generator unit. The control strategy is combined improved QPSO algorithm with MGPC algorithm,in order to design a double-reheat temperature constrained control strategy,which is implemented by the smoke baffle and the flue gas recirculation. At 75% and 100% rated load conditions,improved QPSO-MGPC algorithm is used to control the double reheat steam temperature constrained models on simulation study,which is compared with unconstrained MGPC and conventional PID control strategy. Results show that,double reheat steam temperature control system based on improved QPSO-MGPC strategy performs as well as on the unconstrained MGPC,and better than on conventional PID control strategy. The system shows the？ high tracking？ speed？ and？ small overshoot. The improved QPSO-MGPC algorithm behaves good anti-interference and robustness in the control process and can satisfy the demand of actual complicated production conditions.
作者
雷志伟
LEI Zhiwei(China Datang Corporation Science ＆ Technical Institute Co. ,td. East China Branch, Hefei 230031,China)
出处
《黑龙江电力》
CAS
2018年第2期130-136,共7页
Heilongjiang Electric Power
基金
中国大唐集团重大科技项目(KYY2016-3004)
