Hou Guolian, Gong Linjuan, Wang Mengyi, Yu Xiaodong, Yang Zhile, Mou Xiaolin
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China.
Digital Energy China, Schneider Electric China Operations Shanghai Branch, Shanghai, China.
ISA Trans. 2022 Mar;122:357-370. doi: 10.1016/j.isatra.2021.05.003. Epub 2021 May 17.
The main steam temperature of boiler outlet has been deemed as a significant parameter of the safety and economic performances in the thermal power plant operation. The complex working status of the thermal generation endures highly uncertain factors and remarkable disturbance, which call for effective controlling approaches in the corresponding temperature management. The linear active disturbance rejection controller (LADRC) is a conducive and powerful controlling method, whereas strong correlation between LADRC parameters leads to difficulties in optimally determining the controller parameters. Aiming at eliminating the negative effects on main steam temperature control caused by uncertainties factors and disturbances, a high performance LADRC based on a novel parameters optimization strategy, the simultaneous heat transfer search (SHTS) algorithm, is designed to deliver a stability, rapidity, and precision of control process. In the presented SHTS algorithm, all the three phases of heat transfer are randomly and parallel operated, providing a significant improvement towards the optimization performance. The proposed algorithm is first verified on various benchmark functions contrasted to state-of-the-art counterparts in performance validating, and then adopted in the parameter selection of LADRC in the main steam temperature control system. The excellent control performance, strong robustness and disturbance rejection ability of the designed approach are illustrated through the simulation results on main steam temperature control system.
锅炉出口主蒸汽温度被视为火力发电厂运行中安全和经济性能的一个重要参数。热力发电的复杂工况存在高度不确定因素和显著干扰,这就需要在相应的温度管理中采用有效的控制方法。线性自抗扰控制器(LADRC)是一种有益且强大的控制方法,然而LADRC参数之间的强相关性导致难以优化确定控制器参数。针对消除不确定因素和干扰对主蒸汽温度控制的负面影响,设计了一种基于新型参数优化策略——同时传热搜索(SHTS)算法的高性能LADRC,以实现控制过程的稳定性、快速性和精确性。在所提出的SHTS算法中,传热的三个阶段随机并行运行,显著提高了优化性能。该算法首先在各种基准函数上进行验证,并与性能验证方面的现有同类算法进行对比,然后应用于主蒸汽温度控制系统中LADRC的参数选择。通过主蒸汽温度控制系统的仿真结果,说明了所设计方法具有优异的控制性能、强大的鲁棒性和抗干扰能力。