联合循环启动优化的层次非线性模型预测控制

A. Tica, H. Guéguen, D. Dumur, D. Faille, F. Davelaar
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引用次数: 9

摘要

为了提高联合循环电厂的启动性能,提出了一种层次模型预测控制(H-MPC)结构。结构包括两层。在每一层,控制问题的目的是推导燃气轮机在不同时间尺度下的负荷分布。为了实现这一目标,假设配置文件由参数化函数描述,其参数是通过解决最优时间控制问题来计算的,该问题基于建模语言Modelica开发的模型,并受工厂变量的许多约束。数值结果证明了该方法的潜在优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical nonlinear model predictive control for combined cycle start-up optimization
A hierarchical model predictive control (H-MPC) structure is proposed to improve the start-up performances of Combined Cycle Power Plants (CCPPs) start-up. The structure includes two layers. At each layer, the control problem aims at deriving the profile of the gas turbine (GT) load at different time scales. To achieve this, the profile is assumed to be described by parameterized functions, whose parameters are computed by solving an optimal time control problem, based on a model developed in the modeling language Modelica and subject to a number of constraints on the plant variables. Numerical results prove the potential advantages of the proposed approach.
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