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Modeling and Analysis of Heavy-Duty Gas Turbine Based on Frequency Dependent Model

机译:基于频率相关模型的重型燃气轮机建模与分析

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In the last decades, gas turbines (GTs) were developed quickly and used in many applications especially in power plants, due to their reliability, availability, adaptability, fast start capability and short delivery time. Industrial heavy-duty gas turbines (HDGT) are, especially, designed for power generation. They are specified with long life and higher reliability compared with other types of gas turbines. Generally, the gas turbine is associated with thermal system and electrical system. Thus, the dynamic interactions between the gas turbine and coupled systems require a high accuracy in simulation models of gas turbines. Therefore, increasing attention in the study of heavy-duty gas turbines models has been acquired with diverse amounts of difficulty and merit. Thus, modeling and simulation of the behavior of HDGT under accurate operating conditions play a significant role for efficient design as well as reliable manufacturing practice. In this aspect, several gas turbine models have been developed based on the different parts of heavy-duty gas turbine: the speed governor, the fuel system, the combustion chamber, temperature control and the turbine. This paper presents modeling and analysis of the behavior of heavy-duty gas turbine to understand the power system problems. This is achieved by a complementary and analysis of the frequency dependent model (FD), using Matlab/Simulink. In our approach, simple time delays are integrated to the FD model, taking into consideration the effectiveness and accuracy of the model.
机译:在过去的几十年中,由于其可靠性,可用性,适应性,快速启动能力和短交货时间,旨在迅速开发燃气轮机(GTS),尤其是在发电厂的许多应用中使用。尤其是专为发电而设计的工业重型燃气轮机(HDGT)。与其他类型的燃气轮机相比,它们具有长寿和更高的可靠性。通常,燃气轮机与热系统和电气系统相关联。因此,燃气轮机和耦合系统之间的动态相互作用需要高精度地在燃气轮机的仿真模型中。因此,在重型燃气轮机模型的研究中提高了关注,已经采用了多种难度和优点。因此,在精确的操作条件下,HDGT行为的建模和模拟在高效的设计以及可靠的制造实践中起着重要作用。在这方面,已经基于重型燃气涡轮机的不同部位开发了几种燃气轮机模型:调速器,燃料系统,燃烧室,温度控制和涡轮机。本文介绍了重型燃气轮机行为的建模和分析,以了解电力系统问题。这是通过使用MATLAB / Simulink的频率相关模型(FD)的互补和分析来实现的。在我们的方法中,考虑到模型的有效性和准确性,简单的时间延迟集成到FD模型。

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