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Optimization control for the coordinated system of an ultra-supercritical unit based on stair-like predictive control algorithm

机译:基于阶梯式预测控制算法的超超临界机组协调系统的优化控制

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摘要

This study proposes an optimal control scheme for the coordinated control system (CCS) of an ultra-supercritical unit. This scheme utilizes a stair-like predictive control algorithm as the core to solve fundamentally the control problem of large delay and inertia in boiler combustion and integrates the feedforward and decoupling control concepts to preserve the traditional control experience. This study aims to provide technical support for the clean and efficient use of coal and the large-scale consumption of renewable energy sources in China. Non-real-time and real-time simulation results show that the scheme can achieve optimal control for each controlled variable, especially in the decoupling control mode; moreover, the fluctuation of each controlled variable is considerably reduced, and the adjustment of each control variable is stable, thereby improving the stability and anti-interference capability of the CCS. From the perspective of practical application of engineering, the research results have been directly productized and applied to practical engineering, the engineering application shows that the control performance is basically consistent with the simulation, the response rate of the unit is considerably increased, and the fluctuation of main steam pressure and mid-point temperature is considerably reduced. In this case, the proposed scheme can guarantee the safety, stability, economy, and flexibility of the unit operation.
机译:本研究提出了一种超超临界机组协调控制系统(CCS)的最优控制方案。该方案以阶梯状的预测控制算法为核心,从根本上解决了锅炉燃烧时延和惯性大的控制问题,并结合了前馈和解耦控制概念,以保留传统的控制经验。这项研究旨在为中国清洁有效利用煤炭以及大规模消耗可再生能源提供技术支持。非实时和实时仿真结果表明,该方案可以实现对每个控制变量的最优控制,尤其是在解耦控制模式下。而且,大大减小了每个控制变量的波动,并且每个控制变量的调整是稳定的,从而提高了CCS的稳定性和抗干扰能力。从工程实际应用的角度出发,直接将研究成果应用于实际工程,工程应用表明控制性能与仿真基本吻合,单元的响应率大大提高,而且波动较大。主蒸汽压力和中点温度的比率大大降低。在这种情况下,所提出的方案可以保证单元操作的安全性,稳定性,经济性和灵活性。

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