上海交通大学学报

上海交通大学学报（自然版） ›› 2016, Vol. 50 ›› Issue (04): 483-489.

• 能源与动力工程 •    下一篇

重型燃气轮机天然气供应系统整体性能仿真

孟成，苏明   

  1. （上海交通大学 机械与动力工程学院，上海 200240）
  • 收稿日期:2015-04-19 出版日期:2016-04-28 发布日期:2016-04-28
  • 基金资助:
    上海市科学技术委员会项目(08DZ1204200)资助

Performance Simulation of Natural Gas Supply System of a Heavy Duty Gas Turbine

MENG Cheng,SU Ming   

  1. (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2015-04-19 Online:2016-04-28 Published:2016-04-28

摘要： 摘要： 采用建模仿真的方式对天然气供应系统的整体性能进行研究.首先基于模块化建模的理念设计了系统的各主要部件模型；随后根据燃机电厂的实际运行数据，通过BP神经网络训练得到天然气供应系统中的压力、值班/预混气流量设定规律；最后加入了基于比例积分微分控制原理的压力、温度和流量控制器，在Simulink仿真中完成了整体仿真模型的搭建.对所建模型进行了稳态和动态仿真，仿真结果与电厂实际数据基本一致，表明模型能够较为准确地反映天然气供应系统的整体性能.

关键词: 天然气供应系统, 模块化建模, 性能仿真, BP神经网络

Abstract: Abstract： The performance of the natural gas supply system has a great influence on the performance of the heavy duty gas turbine. Therefore, the modeling and simulation approach was used to study the performance of the natural gas supply system. First, the main components of the system were modeled based on the modular modeling concept. Next, according to the practical operation data provided by power plants, the setting criterion of pressure and pilot gas/premix gas flow were analyzed by BP neural network. Finally, the pressure, temperature and flow controller based on PID principle were added to the whole simulation model. The steady simulation and dynamic simulation were both implemented in this simulation model. The simulation results approximately conform to the practical operating data, indicating that the model can accurately describe the whole performance of the natural gas supply system.

Key words: Key words： natural gas supply system, modular simulation, performance simulation, BP neural network

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