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Mitigating subsynchronous control interaction using fractional sliding mode control of wind farm
Journal of the Franklin Institute ( IF 3.7 ) Pub Date : 2020-07-22 , DOI: 10.1016/j.jfranklin.2020.07.024
Penghan Li , Jie Wang , Linyun Xiong , Meiling Ma , Ziqiang Wang , Sunhua Huang

This paper proposes a fractional sliding mode control (FSMC) based on direct torque control to mitigate subsynchronous control interaction (SSCI) in doubly-fed induction generator (DFIG)-based wind farm. The proposed FSMC realizes chattering attenuation and SSCI mitigation simultaneously. Moreover, FSMC improves the system robustness and convergence property, which make contributions to achieving effective damping of SSCI under different operating points. Given the high number of control parameters of FSMC, genetic algorithm (GA) is adopted to optimize control parameters. Impedance-based analysis, time-domain simulation, and experimental test are conducted to test the performance of FSMC as compared to subsynchronous damping control (SSDC) and terminal sliding mode control (TSMC). Results confirm the better damping capability of FSMC under different compensations and wind speeds. FSMC also shows strong robustness against parametric uncertainty and disturbance.



中文翻译:

使用风电场的分数滑模控制来缓解次同步控制相互作用

本文提出了一种基于直接转矩控制的分数滑模控制(FSMC),以减轻基于双馈感应发电机(DFIG)的风电场中的次同步控制相互作用(SSCI)。拟议的FSMC可以同时实现抖振衰减和SSCI缓解。此外,FSMC提高了系统的鲁棒性和收敛性,为在不同工作点实现SSCI的有效阻尼做出了贡献。鉴于FSMC的控制参数数量众多,采用遗传算法(GA)对控制参数进行优化。与基于次同步阻尼控制(SSDC)和终端滑模控制(TSMC)相比,进行了基于阻抗的分析,时域仿真和实验测试,以测试FSMC的性能。结果证实了在不同补偿和风速下,FSMC具有更好的阻尼能力。FSMC还显示出对参数不确定性和干扰的强大鲁棒性。

更新日期:2020-09-10
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