| 引用本文: | 姜超,周书宇,刘晓军,杨冬锋,孙正龙,白尚旻.考虑跟网型双馈风机惯性响应的系统频率动态低阶建模与解析[J].电力自动化设备,2025,45(5):77-83. |
| JIANG Chao,ZHOU Shuyu,LIU Xiaojun,YANG Dongfeng,SUN Zhenglong,BAI Shangmin.Low-order modeling and analysis of system frequency dynamics considering inertia response of grid-following DFIG[J].Electric Power Automation Equipment,2025,45(5):77-83. |
|
| 摘要: |
| 针对跟网型双馈风机(DFIG)在虚拟惯量控制下系统频率响应(SFR)建模特征量化不充分、不清晰的问题，建立了跟网型DFIG附加惯性控制的线性化功率响应模型，准确地认识了DFIG参与频率调节的物理过程，提出了计及DFIG惯性控制的扩展SFR模型。采用劳斯近似方法进行降阶，进而量化计算系统频率的时域解析解，揭示了SFR特征(最大频率变化率、频率最低点、稳态频率)与系统参数的显性关系，并据此设计了SFR轨迹的优化方法。算例仿真结果表明：所提DFIG简化模型、扩展SFR模型以及劳斯近似方法的准确性较高；相较于风电容量占比，风速对频率动态轨迹优化的影响更加明显。 |
| 关键词: 双馈风机 跟网型 惯性控制 系统频率响应 线性化模型 频率轨迹优化 |
| DOI：10.16081/j.epae.202412012 |
| 分类号:TM614 |
| 基金项目:国家重点研发计划项目(2021YFB2400800) |
|
| Low-order modeling and analysis of system frequency dynamics considering inertia response of grid-following DFIG |
|
JIANG Chao1, ZHOU Shuyu2, LIU Xiaojun1, YANG Dongfeng1, SUN Zhenglong1, BAI Shangmin3
|
|
1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China;2.Electric Power Science Research Institute of State Grid Jilin Electric Power Co.,Ltd.,Changchun 130000, China;3.Jilin Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Jilin 132000, China
|
| Abstract: |
| To address the insufficient and unclear quantitative characterization of system frequency response(SFR) modeling for grid-following doubly-fed induction generator(DFIG) under virtual inertia control, a linearized power response model of grid-following DFIG with additional inertial control is established, the physical process of DFIG participating in frequency regulation is accurately understood, and an extended SFR model considering the inertial control of DFIG is proposed. The Routh approximation method is used to reduce the order, and then the time-domain analytic solution of the system frequency is quantified. The dominant relationship between the SFR characteristics(the maximum rate of frequency change, the lowest frequency and the steady-state frequency) and the system parameters is revealed. Based on this, an optimization method for SFR trajectory is designed. Simulative results of case study show that the proposed DFIG simplified model, the extended SFR model and Routh approximation method have high accuracy. Compared with wind power capacity ratio, wind speed has more obvious influence on the optimization of frequency dynamic trajectory. |
| Key words: DFIG grid-following inertia control system frequency response linearized model frequency trajectory optimization |
