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Plant-wide physical model-based control for a thermal power plant

机译:火力发电厂基于全厂物理模型的控制

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This paper reports the development of a constrained, nonlinear physical model-based, predictive control strategy for improved plant-wide control of a thermal power plant. The proposed strategy makes use of successive linearisation and extended Kalman filtering to obtain a linear state-space model. The linear model and a quadratic programming routine are then used to design a constrained long-range predictive control routine. The proposed approach places major emphasis on better disturbance modeling based on a physical plant model. The paper discusses how this approach results into selection of a specific set of model parameters for online estimation to account for time-varying system characteristics resulting from major system disturbances and ageing. A plant model with 14 nonlinear ODEs, simulating the dominant characteristics of a 200 MW oil-fired power plant at Ballylumford, N. Ireland, has been used to test the control strategy.
机译:本文报告了基于约束的,基于非线性物理模型的预测控制策略的发展,该策略用于改进火力发电厂的全厂范围控制。所提出的策略利用连续线性化和扩展卡尔曼滤波来获得线性状态空间模型。然后,使用线性模型和二次编程例程来设计约束的远程预测控制例程。所提出的方法主要强调基于物理工厂模型的更好的干扰建模。本文讨论了这种方法如何导致选择一组特定的模型参数进行在线估计,以解决由于主要系统扰动和老化而导致的时变系统特征。一个具有14种非线性ODE的工厂模型用于模拟该控制策略,该模型模拟了位于爱尔兰北爱尔兰巴利勒福德的200 MW燃油发电厂的主要特征。

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