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首页> 美国卫生研究院文献>SpringerPlus >Predictive control strategy of a gasturbine for improvement of combined cycle power plant dynamic performance andefficiency
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Predictive control strategy of a gasturbine for improvement of combined cycle power plant dynamic performance andefficiency

机译：气体的预测控制策略改善联合循环电厂动力性能的涡轮机效率

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摘要

This paper presents a novel strategy for implementing model predictive control (MPC) to a large gas turbine power plant as a part of our research progress in order to improve plant thermal efficiency and load–frequency control performance. A generalized state space model for a large gas turbine covering the whole steady operational range is designed according to subspace identification method with closed loop data as input to the identification algorithm. Then the model is used in developing a MPC and integrated into the plant existing control strategy. The strategy principle is based on feeding the reference signals of the pilot valve, natural gas valve, and the compressor pressure ratio controller with the optimized decisions given by the MPC instead of direct application of the control signals. If the set points for the compressor controller and turbine valves are sent in a timely manner, there will be more kinetic energy in the plant to release faster responses on the output and the overall system efficiency is improved. Simulation results have illustrated the feasibility of the proposed application that has achieved significant improvement in the frequency variations and load following capability which are also translated to be improvements in the overall combined cycle thermal efficiency of around 1.1 % compared to the existing one.
机译：本文提出了一种对大型燃气轮机电厂实施模型预测控制（MPC）的新策略，这是我们研究进展的一部分，目的是提高电厂的热效率和负荷频率控制性能。根据子空间辨识方法，以闭环数据作为辨识算法的输入，设计了一个涵盖整个稳态运行范围的大型燃气轮机广义状态空间模型。然后将该模型用于开发MPC，并集成到工厂现有的控制策略中。该策略原理基于MPC给定的先导阀，天然气阀和压缩机压力比控制器的参考信号，而不是直接施加控制信号。如果及时发送压缩机控制器和涡轮阀的设定点，工厂中将有更多的动能来释放对输出的更快响应，从而改善了整个系统的效率。仿真结果表明了所提出的应用的可行性，该应用在频率变化和负载跟随能力方面取得了显着改善，与现有技术相比，这也意味着整体联合循环热效率提高了约1.1％。

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