基于频率相关模型的重型燃气轮机建模与分析

D. Talah, H. Bentarzi
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引用次数: 2

摘要

在过去的几十年里,燃气轮机(gt)由于其可靠性,可用性,适应性,快速启动能力和交货时间短而迅速发展并在许多应用中得到应用,特别是在发电厂。工业重型燃气轮机(HDGT)是专门为发电而设计的。与其他类型的燃气轮机相比,具有寿命长、可靠性高的特点。通常,燃气轮机与热力系统和电气系统相关联。因此,燃气轮机与耦合系统之间的动态相互作用要求燃气轮机仿真模型具有较高的精度。因此,重型燃气轮机模型的研究受到越来越多的关注,但难度和优点各不相同。因此,在精确的操作条件下对HDGT的行为进行建模和仿真对于高效设计和可靠的制造实践具有重要作用。在这方面,根据重型燃气轮机的不同部分:调速器、燃料系统、燃烧室、温度控制和涡轮,开发了几种燃气轮机模型。本文通过对重型燃气轮机性能的建模和分析来了解电力系统问题。这是通过使用Matlab/Simulink对频率相关模型(FD)进行补充和分析来实现的。在我们的方法中,考虑到模型的有效性和准确性,将简单的时间延迟集成到FD模型中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Analysis of Heavy-Duty Gas Turbine Based on Frequency Dependent Model
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.
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