Optimize research of turbine speed governing system modeling method based on power grid stability analysis<bold> </bold>

被引:1
|
作者
Bo, Yan [1 ]
Jun, He [1 ]
Cong, Qi [2 ]
机构
[1] State Grid JiangXi Elect Power Res Inst, Nanchang 330096, Jiangxi, Peoples R China
[2] JiangXi Elect Power Design Inst, Nanchang 330096, Jiangxi, Peoples R China
关键词
D O I
10.1088/1755-1315/186/5/012045
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The optimization idea and method for model construction and model parameters simulation was introduced which based on the general requirements of power grid stability analysis. In the process of parameter identification, a identification method based on genetic algorithm was adopted and implemented using Matlab and its simulation toolbox. Meanwhile, It introduce "turbine speed governing system collaboration curve" in order to adapt the diversity and strong nonlinear characteristics of thermal power units. From the situation of the modeling test in some thermal power generating unit, the Model parameters can satisfy the requirement of power grid stability analysis.<bold> </bold>
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Nonlinear modeling and stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel under load disturbance
    Guo, Wencheng
    Yang, Jiandong
    Wang, Mingjiang
    Lai, Xu
    ENERGY CONVERSION AND MANAGEMENT, 2015, 106 : 127 - 138
  • [32] Modeling and Analysis of Harmonic Stability in an AC Power-Electronics-Based Power System
    Wang, Xiongfei
    Blaabjerg, Frede
    Wu, Weimin
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2014, 29 (12) : 6421 - 6432
  • [33] Research on Transient Stability Analysis Method of Power System Based on Network Structure Preserving Energy Function
    Jia T.
    Sun H.
    Zhao B.
    Wang Z.
    Xu S.
    Wu P.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2020, 40 (09): : 2819 - 2825
  • [34] Overview of Stability Research for Grid-Connected Inverters Based on Impedance Analysis Method
    Chen X.
    Wang Y.
    Gong C.
    Sun J.
    He G.
    Li G.
    Wang H.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2018, 38 (07): : 2082 - 2094
  • [35] Modeling and Control for a Non-Grid-Connected Wind Power System Based on a Fixed-Pitch Variable Speed Wind Turbine and a Doubly Salient Generator
    Wei, Shi
    Yan, Xing
    Ma, Yundong
    Lai, Rixin
    2009 WORLD NON-GRID-CONNECTED WIND POWER AND ENERGY CONFERENCE, 2009, : 389 - 392
  • [36] Research on wind turbine power curve drawing method based on discrete degree analysis
    Li, Hangtao
    Guo, Peng
    Yang, Xiyun
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 40 (01): : 237 - 241
  • [37] Dynamic modeling and control of the tidal current turbine using DFIG and DDPMSG for power system stability analysis
    Aly, Hamed H. H.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 83 : 525 - 540
  • [38] Dynamic modeling and control of wind turbine scheme based on cage machine for power system stability studies
    Baloch, Mazhar H. (mazhar.hussain08ele@gmail.com), 1600, International Journal of Renewable Energy Research (06):
  • [39] Dynamic Modeling and Control of Wind Turbine Scheme Based on Cage Machine for Power System Stability Studies
    Baloch, Mazhar. H.
    Jie, Wang
    Kaloi, Ghulam. S.
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2016, 6 (02): : 599 - 606
  • [40] Index of Wind Power Grid System Based on Multi-index Weighted Stability Method
    Xu Jianyuan
    Qi Weifu
    Teng Yun
    MANUFACTURING PROCESS AND EQUIPMENT, PTS 1-4, 2013, 694-697 : 799 - 802