Adaptive Primary Frequency Regulation Control Strategy for Doubly Fed Wind Turbine Based on Hybrid Ultracapacitor Energy Storage and Its Performance Optimization
The large-scale integration of doubly fed wind turbines reduces the inertia level of power systems and increases the risk of frequency instability. This paper analyzes the performance characteristics and application ranges of different types of energy storage technologies and addresses the limitations of conventional control methods, which cannot adjust energy storage power output in real time according to frequency variations and may hinder frequency recovery during the restoration stage. Based on a grid-forming doubly fed wind turbine model, this study adopts a hybrid ultracapacitor energy storage system as the auxiliary storage device. The hybrid configuration increases energy density and extends the effective support duration of the storage system, thereby meeting the requirements of longer-term frequency regulation. Furthermore, the paper proposes an adaptive inertia control strategy that combines an improved variable-K droop control with adaptive virtual inertia control to enhance the stability of doubly fed wind turbines under load fluctuations. Simulation studies conducted in MATLAB 2022/Simulink demonstrate that the proposed method significantly improves frequency stability in load disturbance scenarios. The strategy not only strengthens the frequency support capability of grid-connected wind turbine units but also accelerates frequency recovery, which plays an important role in maintaining power system frequency stability.
Authors
- Nan Zheng (ORCID: https://orcid.org/0000-0002-2066-1506)
- Ming Wu
- Yu Ji
- Lijuan Hu
- Xiangwu Yan
- Geng Niu
- Peisheng Shi
Institutions
- North China Electric Power University (CN)
- State Grid Corporation of China (China) (CN)
Publication Details
- Journal
- Electronics
- Published
- 2025-12-30
- DOI
- https://doi.org/10.3390/electronics15010182
- Primary Topic
- Wind Turbine Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- State Grid Corporation of China
- Science and Technology Project of State Grid