Evaluation and Optimization of DFIG-Based WTs for Constant Inertia as Synchronous Generators

被引:4
作者
Guo, Xiang [1 ]
Yuan, Xibo [1 ]
Zhu, Donghai [2 ]
Zou, Xudong [2 ]
Hu, Jiabing [2 ]
机构
[1] China Univ Min & Technol, Sch Elect Engn, Xuzhou 221116, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Technol, Wuhan 430074, Peoples R China
基金
国家重点研发计划;
关键词
Phase locked loops; Doubly fed induction generators; Stators; Frequency control; Rotors; Mathematical models; Transfer functions; Constant inertia; doubly fed induction generator (DFIG); inertia characteristics; inertia control; wind turbine; WIND TURBINES; FREQUENCY SUPPORT; POWER;
D O I
10.1109/TPEL.2024.3400456
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The power boost and response speed are two critical indexes to evaluate the inertia control performances. However, it is hard to obtain the two indexes directly in the time domain for different inertia control methods. How to justify the inertia control performances becomes a critical issue to address. Besides, the issue of whether the inertia control methods of wind turbines can present similar inertia characteristics as synchronous generators also attracts great attention. Targeting the above two questions, this article focuses on the representation, evaluation, and optimization of the inertia characteristics for the doubly fed induction generator (DFIG) based wind turbine. First, the phase motion model and inertia transfer function for the DFIG are established. On this basis, the relations between the inertia control performance in the time domain and the inertia transfer function in the frequency domain are clarified, which is explained through the conventional emulated inertia control. Furthermore, optimization methods for DFIGs to achieve constant inertia, combined with the parameter design guidelines, are demonstrated. Finally, the analysis and the optimized methods are validated by experiments.
引用
收藏
页码:10453 / 10464
页数:12
相关论文
共 26 条
  • [1] Analysis of Synthetic Inertia Strategies from Wind Turbines for Large System Stability
    Berizzi, Alberto
    Bosisio, Alessandro
    Ilea, Valentin
    Marchesini, Danilo
    Perini, Roberto
    Vicario, Andrea
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (03) : 3184 - 3192
  • [2] Multi-Objective Adaptive Inertia and Droop Control Method of Wind Turbine Generators
    Chen, Wei
    Zheng, Taiying
    Nian, Heng
    Yang, Dejian
    Yang, Wenbin
    Geng, Hua
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2023, 59 (06) : 7789 - 7799
  • [3] Dynamic Coupling Mechanism Analysis Between Voltage and Frequency in Virtual Synchronous Generator System
    Cheng, Huijie
    Li, Chang
    Ghias, Amer Mohammad Yusuf Mohammad
    Blaabjerg, Frede
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2024, 39 (01) : 2365 - 2368
  • [4] Clark K., 2010, Modeling of GE windturbine-generators for grid studies
  • [5] On the Inertia of Future More-Electronics Power Systems
    Fang, Jingyang
    Li, Hongchang
    Tang, Yi
    Blaabjerg, Frede
    [J]. IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2019, 7 (04) : 2130 - 2146
  • [6] Frequency Derivative-Based Inertia Enhancement by Grid-Connected Power Converters With a Frequency-Locked-Loop
    Fang, Jingyang
    Zhang, Ruiqi
    Li, Hongchang
    Tang, Yi
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (05) : 4918 - 4927
  • [7] Franklin G.F., 2006, Feedback Control ofDynamic Systems
  • [8] Impact of emulated inertia from wind power on under-frequency protection schemes of future power systems
    Gonzalez-Longatt, Francisco Manuel
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2016, 4 (02) : 211 - 218
  • [9] Dynamic Inertia Evaluation for type-3 Wind Turbines Based on Inertia Function
    Guo, Xiang
    Zhu, Donghai
    Zou, Xudong
    Jiang, Bingchen
    Yang, Yihang
    Kang, Yong
    Peng, Li
    [J]. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2021, 11 (01) : 28 - 38
  • [10] Generic PLL-Based Grid-Forming Control
    Harnefors, Lennart
    Schweizer, Mario
    Kukkola, Jarno
    Routimo, Mikko
    Hinkkanen, Marko
    Wang, Xiongfei
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2022, 37 (02) : 1201 - 1204