Energy Storage Science and Technology ›› 2024, Vol. 13 ›› Issue (9): 3287-3298.doi: 10.19799/j.cnki.2095-4239.2024.0226

• Energy Storage System and Engineering • Previous Articles     Next Articles

Control characteristics of a natural gas residual pressure power generation turbine generator set

Xin JIANG1,2(), Wanxuan ZHU4, Heping LI1(), Xuehui ZHANG2(), Jian XU3, Wenxin HAN2, Jiangrong XU1   

  1. 1.Institute for Energy Studies, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China
    2.Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    3.General Office, Chinese Academy of Sciences, Beijing 100864, China
    4.School of Automotive Engineering, Zunyi Vocational and Technical College, Zunyi 563006, Guizhou, China
  • Received:2024-03-14 Revised:2024-04-30 Online:2024-09-28 Published:2024-09-20
  • Contact: Heping LI, Xuehui ZHANG E-mail:211070109@hdu.edu.cn;peacelee@hdu.edu.cn;zhangxuehui@iet.cn

Abstract:

This study examines the physical model of a turbine generator set, focusing on a detailed explanation of the working principles of the turbine expander speed control system, synchronous generator, and excitation system. A mathematical model of the turbine generator set was developed using MATLAB/Simulink. This model incorporates a turbine expander and its speed control system, a synchronous generator and excitation system, and a power-load model. Conventional PID simulations were performed under various operating conditions for turbine generator sets using the established model. Subsequently, the control approach of the system was optimized, and fuzzy PID control was used to simulate the no-load start and load switching. Based on the simulation results, the control performances of conventional and fuzzy PID were compared. The simulation results indicated that the fuzzy PID controller exhibited a shorter starting time and a smaller overshoot than the conventional PID controller, resulting in a faster and more stable response process for the generator set.

Key words: residual pressure power generation, turbine generator set, simulation model, fuzzy PID controller

CLC Number: