中国电机工程学报2024，Vol.44Issue(5)：1836-1847,中插14,13.DOI:10.13334/j.0258-8013.pcsee.222603
基于改进自适应陷波的双馈风电场时变次同步振荡抑制策略
Time-varying Subsynchronous Oscillation Mitigation Strategy for DFIG Wind Farms Based on Improved Adaptive Notch Filter
摘要
Abstract
Subsynchronous control interaction(SSCI)may be triggered when DFIG-based wind farms are connected to the grid via series-compensated capacitors,which seriously threatens the safe and stable operation of the system.Embedding notch filters into the DFIG converter controllers can mitigate SSCI effectively.However,the fixed-parameter notch filter is difficult to adapt to the time-varying frequency characteristic of the subsynchronous oscillation in the actual system.To address the issue,a time-varying subsynchronous oscillation mitigation strategy based on the improved adaptive notch filter for DFIG-based wind farms is proposed in this paper.First,effects on blocking the subsynchronous oscillation component are analyzed when the ANF is installed at different positions of the rotor-side converter(RSC),and the best installation location of the ANF is determined.Second,the overall control framework is designed,and the strategy for ANF center frequency updating based on measurement data is developed.Finally,considering multiple influential factors such as wind speed,number of wind turbines,reactive power output,grid topology,etc.,the performance of the proposed control strategy in mitigating subsynchronous oscillations with time-varying frequency is verified.Compared with the existing methods,the proposed method is independent of the accurate mathematical model of the system and presents stronger robustness and adaptability.关键词
双馈风机/次同步振荡/转子侧变流器/安装位置/自适应陷波器Key words
doubly-fed induction generator(DFIG)/subsynchronous oscillation/rotor-side converter/installation location/adaptive notch filter分类
信息技术与安全科学引用本文复制引用
吴熙,徐珊珊,冯双,范立新,顾文..基于改进自适应陷波的双馈风电场时变次同步振荡抑制策略[J].中国电机工程学报,2024,44(5):1836-1847,中插14,13.基金项目
国家自然科学基金项目(52177075) （52177075）
江苏省自然科学基金项目(BK20221466) （BK20221466）
东南大学江苏省智能电网技术与装备重点实验室课题. Project Supported by National Natural Science Foundation of China(52177075) （52177075）
Natural Science Foundation of Jiangsu Province(BK20221466) （BK20221466）
Project of Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment,Southeast University. （）
