大型单元机组实现协调预测控制的研究

大型单元机组的控制对象复杂、滞后大且是时变的多变量系统 ,模型难于准确建立 ,传统的控制策略很难使其达到最佳的运行状态。针对双输入双输出的火电机组机炉协调控制系统 ,提出了一种建立在解耦基础上的多变量DMC的分散优化算法 ,将多变量的DMC算法分散为单变量的DMC算法 ,该算法简单、计算量少、鲁棒性强。仿真结果表明 ,所提出的这种算法在单元机组负荷控制系统中是十分有效的。

Study of Fulfilling Coordinated Predictive Control for Large-scale Generating Unit

The large-scale generating unit in thermal power plant is a multi-variable system which is complex, and time-variant with long-time delay, and affected by various disturbances,which will result in uncertainty of control parameters and difficulty to establish model precisely.So as for conventional control strategy,it is hard to make system gain optimum running state. This paper,aiming at two-input two-output turbine-boiler coordinated control system of generating unit,proposes a multi-variable system decentralized optimization control DMC algorithm based on decoupling.This algorithm has simplicity,low computational complexity and strong robustness.The simulation results show that this algorithm is very efficient for loaded-control system of generating unit.