Impact of Supplementary Active Power Control Parameters of Wind Turbine on Power System Low-frequency Oscillations

被引:0
作者
Li W. [1 ]
Cai D. [1 ]
Wu S. [1 ]
Zhang G. [2 ]
Zhang F. [1 ]
机构
[1] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan
[2] Yantai Research Institute, Harbin Engineering University, Yantai
来源
Gaodianya Jishu/High Voltage Engineering | 2024年 / 50卷 / 03期
关键词
damped torque method; damping ratio; low-frequency oscillations; small-signal model; supplementary active power control; wind turbine;
D O I
10.13336/j.1003-6520.hve.20230493
中图分类号
学科分类号
摘要
The involvement of wind turbine in the electromechanical oscillation mode of a synchronous generator after the supplementary active control makes the system power oscillation characteristics more complex, which is not conducive to the design of the supplementary active power control parameters. In order to study the effect of supplementary active control of wind turbines on system stability, firstly, we established a small-signal model of the dynamic action of the wind turbine and synchronous generator after considering the characteristics of the phase-locked loop, analyzed the influence of the supplementary active power control on the stability of the system oscillation based on this model using the damping torque method, and proposed a design method for the supplementary active power control parameters in which the equivalent inertia time constant and the damping ratio of the system were taken into consideration. Finally, the influence of each factor on the system’s low-frequency oscillation stability was quantified by the simulation recults of the 10-machine 39-node system. The results show that the reasonable setting of the supplementary active power control parameters, the filtering time parameters and the phase-locked loop bandwidth of wind turbines can improve the frequency stability of the system. The validity of the theoretical analysis is further verified. © 2024 Science Press. All rights reserved.
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收藏
页码:1145 / 1155
页数:10
相关论文
共 31 条
[1]  
HE Jun, ZHANG Bokai, GAN Deshu, Et al., Multi-time scale defensive scheduling strategy for high wind power penetration grids under typhoon, High Voltage Engineering, 49, 4, pp. 1724-1734, (2023)
[2]  
GUO Chuangxin, LIU Zhuping, FENG Bin, Et al., Research status and prospect of new-type power system risk assessment, High Voltage Engineering, 48, 9, pp. 3394-3404, (2022)
[3]  
SONG Weihong, YANG Lingang, LIN Lei, Et al., Frequency fluctuation suppression technology of offshore wind power generation plants based on MMC-HVDC transmission, High Voltage Engineering, 47, 8, pp. 2760-2768, (2021)
[4]  
FU Yuan, ZHEN Dongfu, ZHANG Xiangyu, Et al., Transient electric quantity inertial control strategy for wind turbines in DC microgrid, High Voltage Engineering, 48, pp. 156-165, (2022)
[5]  
XING Pengxiang, SHI Qiaoming, WANG Gang, Et al., Response characteristics and mechanism analysis about virtual inertia control of wind generators, High Voltage Engineering, 44, 4, pp. 1302-1310, (2018)
[6]  
HASHMY Y, YU Z, SHI D, Et al., Wide-area measurement system-based low frequency oscillation damping control through reinforcement learning, IEEE Transactions on Smart Grid, 11, 6, pp. 5072-5083, (2020)
[7]  
CHEN Changqing, LI Xinran, TAN Zhuangxi, Frequency modulation capability of wind storage considering wind power uncertainty, High Voltage Engineering, 48, 6, pp. 2128-2139, (2022)
[8]  
BI J T, XU S Y, SUN H D, Et al., Supplementary damping controller design of DFIG with mode-based damping torque analysis method, Proceedings of the 2021 IEEE 16th Conference on Industrial Electronics and Applications, pp. 1541-1546, (2021)
[9]  
LU Yuye, JU Ping, JIN Yuqing, Et al., Online identification of static characteristic coefficients of wind farm based on small disturbances, Power System Technology, 41, 6, pp. 1934-1940, (2017)
[10]  
MORREN J, DE HAAN S W H, KLING W L, Et al., Wind turbines emulating inertia and supporting primary frequency control, IEEE Transactions on Power Systems, 21, 1, pp. 433-434, (2006)