Stability Analysis for DFIG-Based Wind Farm Grid-Connected System Under All Wind Speed Conditions

被引:0
|
作者
Du, Chengmao [1 ]
Du, Xiong [1 ]
Tong, Chenghui [1 ]
Li, Ying [2 ]
Zhou, Peipeng [2 ]
机构
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
[2] China Elect Power Re search Inst, State Key Lab Power Grid Safety & Energy Convers, Beijing 100192, Peoples R China
关键词
Doubly-fed induction generator; two-variable admittance; wake effect; wind farm; wind speed; TURBINE; MODEL; SSR;
D O I
10.1109/TIA.2022.3232468
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The stable operation capability of the doubly-fed induction generation-based wind farm grid-connected system (DFIG-WFGS) is closely related to wind speed, and the windward velocity of wind turbine unit at different locations may be discrepant due to wake effect. However, the existing mathematical models of DFIG is limited to some specific wind speed points, which may not be directly applied to stability analysis in all wind speed operating conditions. The wind speed is used to characterize the steady state operating point in this paper, meanwhile considering the wake effect and single-input and dual-output (SIDO) characteristics, the two-variable admittance models of wind farm based on DFIG are proposed. Further, the improved analysis method based on two-variable open-loop transfer function is proposed to investigate the stable wind speed interval with different series compensation level for a 50MW DFIG-WFGS in Qinghai, China. In addition, a design guideline of wind farm for oscillation suppression is studied to enhance the performance of DFIG-WFGS and avoid unstable operations. Theoretical analysis and simulation results show that the wake effect may discontinuous the stable wind speed interval, and the damping variation is not positively correlated with the wind speed, which provides basis for accurate analysis and effective improvement of the stability for wind power generation system.
引用
收藏
页码:2430 / 2445
页数:16
相关论文
共 50 条
  • [21] Impact of Power Grid Strength and PLL Parameters on Stability of Grid-Connected DFIG Wind Farm
    Liu, Ju
    Yao, Wei
    Wen, Jinyu
    Fang, Jiakun
    Jiang, Lin
    He, Haibo
    Cheng, Shijie
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (01) : 545 - 557
  • [22] Experimental investigation of grid-connected operations for DFIG-based wind turbines with asymmetrical grid faults
    Zheng, Zhong
    Yang, Geng
    Geng, Hua
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2013, 53 (07): : 1036 - 1040
  • [23] Research on Mechanism and Damping Control Strategy of DFIG-Based Wind Farm Grid-Connected System SSR Based on the Complex Torque Method
    Peng, Xiaotao
    Chen, Renjie
    Zhou, Jicheng
    Qin, Shiyao
    Bi, Ran
    Sun, Haishun
    ELECTRONICS, 2021, 10 (14)
  • [24] Control strategy for suppressing the shafting oscillation of the grid-connected DFIG-based wind power generation system
    Yao, Jun
    Zhang, Tian
    Wang, Xuewei
    Zeng, Deyin
    Sun, Peng
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2019, 29 (09):
  • [25] LVRT and Stability Enhancement of Grid-Tied Wind Farm Using DFIG-Based Wind Turbine
    Akanto, Jannatul Mawa
    Hazari, Md. Rifat
    Mannan, Mohammad Abdul
    APPLIED SYSTEM INNOVATION, 2021, 4 (02)
  • [26] Fault Analysis of PI and Fuzzy-Logic-Controlled DFIG-based Grid-Connected Wind Energy Conversion System
    Ganthia B.P.
    Barik S.K.
    Journal of The Institution of Engineers (India): Series B, 2022, 103 (02) : 415 - 437
  • [27] Effect of Grid-Connected DFIG Wind Turbines on Power System Transient Stability
    Qiao, Wei
    Harley, Ronald G.
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 4084 - 4090
  • [28] Grid-connected Wide-band Oscillation Analysis of DFIG-based Wind Turbine Based on Polynomial Approximation of All Eigenvalue Trajectories
    Shen D.
    Wang G.
    Wu H.
    Gan D.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (11): : 39 - 49
  • [29] Analyzing the Dynamic Behavior of a DFIG-based Wind Farm under Sudden Grid Disturbances
    Chakraborty, A.
    Kumar, S.
    Tudu, B.
    Mandal, K. K.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), 2017, : 336 - 341
  • [30] Control for grid-connected DFIG-based wind energy system using adaptive neuro-fuzzy technique
    Shihabudheen, K. V.
    Raju, S. Krishnama
    Pillai, G. N.
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2018, 28 (05):