Fast Frequency Response Control Strategy of Variable Coefficient Wind Turbines Based on Fuzzy Logic Projection

• Published in: 2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI) pp. 1292 - 1297
• Main Authors: Yan, Guoqiang, Zhao, Jingwu, Ji, Qingwen, Jia, Lili, Zhang, Lei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.05.2024
• Subjects: additional power suppression; Doubly fed induction generators; fast frequency response; Frequency modulation; Frequency response; Fuzzy logic; Power system dynamics; Rotors; Wind power generation; Wind turbine
• DOI: 10.1109/ICETCI61221.2024.10594609

In instances of active power shortages in the power grid leading to a drop in frequency, wind turbines can leverage rotor kinetic energy to offer brief frequency support through additional power using fast frequency response control. However, the conventional strategy for fast frequency response control generates some additional power suppression during the response process, limiting the full utilization of the wind turbine's frequency modulation (FM) ability. To address this issue, this paper proposes a novel approach to enhance the efficiency of wind turbine FM by introducing a fast frequency response control strategy based on parameter fuzzy logic projection. To examine the impact of wind power actively participating in frequency regulation on system inertia, we establish a frequency response model for a power system incorporating wind turbines. The additional power suppression is then deduced from the wind turbine speed power expression. We establish a fuzzy logic controller (FLC) based on the system's frequency response characteristics during wind turbine participation in FM. The fast frequency response control coefficient is dynamically adjusted by the FLC to mitigate the effects of additional power suppression on wind turbine FM. Eventually, to validate the feasibility of this method, we develop a power system simulation model featuring a doubly fed induction generator (DFIG) using MATLAB/Simulink.