Fast Active Power Distribution Method for Wind Farms Considering Fatigue Loads of Wind Turbines

被引:0
|
作者
Pan, Shenkai [1 ]
Gao, Bingtuan [1 ]
Mao, Yongheng [1 ]
Guan, Yifei [2 ]
机构
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 15期
关键词
active power control; fatigue load; frequency regulation; optimization strategy; wind farm; wind turbine;
D O I
10.7500/AEPS20230809002
中图分类号
学科分类号
摘要
To suppress the fatigue loads of wind turbines caused by wind farms participating in the frequency regulation process, this paper proposes a fast active power distribution method based on the cooperation of wind turbines and the wind farm. Firstly, the fatigue load expression formulas in two degrees of freedom corresponding to the shaft and the tower of the wind turbine are deduced, and the relationship between the fatigue load and the active power output change of the wind turbine is established. Secondly, by taking the minimization of the total fatigue loads and the minimization of distribution of fatigue loads in the wind farm as the optimization objectives, and considering the constraint that the sum of the adjusted active power of each wind turbine is the same as the required active power for frequency regulation of the wind farm, the fatigue loads of the wind farm can be reduced while guaranteeing similar characteristics of frequency regulation. Moreover, by continuously calculating its own fatigue sensitivity coefficients at each wind turbine controller, the wind farm controller solves the optimal strategies online by using the commercial solver, to guarantee the real-time active power control during frequency regulation. Finally, a case system consisting of 20 doubly-fed induction generator based wind turbines with 5 MW capacity is performed, and the effectiveness of the proposed method is analyzed and verified. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:112 / 121
页数:9
相关论文
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  • [1] GAO Bingtuan, HU Zhengyang, WANG Weisheng, Et al., Review on fast active power control and frequency support technologies of renewable energy stations, Proceedings of the CSEE
  • [2] LI Dongdong, DONG Nan, YAO Yin, Et al., Equivalent inertia estimation of a power system containing wind power considering dispersion of frequency response and system partitioning[J], Power System Protection and Control, 51, 3, pp. 36-45, (2023)
  • [3] Technical specification for connecting wind farm to power system:GB/T 19963—2021, (2021)
  • [4] SHAN Yu, WANG Zhen, ZHOU Changping, Et al., Control strategy of primary frequency regulation for wind turbine based on segmented rate of change of frequency[J], Automation of Electric Power Systems, 46, 11, pp. 19-26, (2022)
  • [5] LI Shaolin, WANG Weisheng, ZHANG Xing, Et al., Impact of wind power on power system frequency and combined virtual inertia control [J], Automation of Electric Power Systems, 43, 15, pp. 64-70, (2019)
  • [6] QIAO Ying, GUO Xiaoqian, LU Zongxiang, Et al., Parameter setting of auxiliary frequency regulation of wind turbines considering secondary frequency drop [J], Power System Technology, 44, 3, pp. 807-815, (2020)
  • [7] YAN Xiangwu, CUI Sen, SONG Zijun, Et al., Inertia and primary frequency regulation strategy of doubly-fed wind turbine based on super-capacitor energy storage control[J], Automation of Electric Power Systems, 44, 14, pp. 111-120, (2020)
  • [8] Qi YAO, Yang HU, ZHAO Tianyang, Et al., Fatigue load suppression during active power control process in wind arm using dynamic-local-reference DMPC[J], Renewable Energy, 183, pp. 423-434, (2022)
  • [9] Jian YANG, ZHENG Songyue, SONG Dongran, Et al., Comprehensive optimization for fatigue loads of wind turbines in complex-terrain wind farms [J], IEEE Transactions on Sustainable Energy, 12, 2, pp. 909-919, (2021)
  • [10] YANG Weifeng, WEN Yunfeng, ZHANG Wuqi, Et al., Bi-level frequency response control strategy based on wind power and energy storage[J], Automation of Electric Power Systems, 46, 12, pp. 184-193, (2022)