Virtual Inertia and Frequency Control of Flexible Fractional Frequency Offshore Wind Power System Based on Modular Multilevel Matrix Converter

With the rapid development of offshore wind power, the fractional frequency offshore wind power system based on the modular multilevel matrix converter (M3C) faces severe frequency stability challenges due to the reduced inertia under high wind power penetration. This paper focuses on its frequency control and proposes a set of coordinated strategies. Modified frequency regulation schemes for wind turbines (WTs) under different operating states avoid secondary frequency drop (SFD) and accelerate rotor speed recovery. A coordinated power allocation strategy combining energy storage (ES) and automatic generation control (AGC) suppresses wind-induced power fluctuations, with a reducing pitch angle variation method to extend WTs’ life. Meanwhile, an adaptive virtual inertia control strategy for M3C enhances sustained inertia support. A coordinated frequency control scheme between wind farm, M3C, and ES is further constructed to achieve faster and better frequency stabilization under wind and load variations. Simulation results under a 10.5 MW load disturbance show that, compared with the uncontrolled scheme, the proposed scheme raises the frequency nadir from 49.01 Hz to 49.67 Hz, limits the maximum rate of change of frequency (ROCOF) to 0.583 Hz/s with a 49.8% reduction, fully eliminates SFD, and provides theoretical support for the stable grid integration of fractional frequency offshore wind power.

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Publication Details

Journal
Electronics
Published
2026-04-30
DOI
https://doi.org/10.3390/electronics15091895
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Virtual Inertia and Frequency Control of Flexible Fractional Frequency Offshore Wind Power System Based on Modular Multilevel Matrix Converter

Yongqing Meng, Ziyue Yang, Lianhui Ning, Chengcheng Cheng et al.
Electronics
Microgrid Control and Optimization
article

Virtual Inertia and Frequency Control of Flexible Fractional Frequency Offshore Wind Power System Based on Modular Multilevel Matrix Converter

Yongqing Meng, Ziyue Yang, Lianhui Ning, Chengcheng Cheng, Siyuan Wu, Chao Ding
article en

Abstract

With the rapid development of offshore wind power, the fractional frequency offshore wind power system based on the modular multilevel matrix converter (M3C) faces severe frequency stability challenges due to the reduced inertia under high wind power penetration. This paper focuses on its frequency control and proposes a set of coordinated strategies. Modified frequency regulation schemes for wind turbines (WTs) under different operating states avoid secondary frequency drop (SFD) and accelerate rotor speed recovery. A coordinated power allocation strategy combining energy storage (ES) and automatic generation control (AGC) suppresses wind-induced power fluctuations, with a reducing pitch angle variation method to extend WTs’ life. Meanwhile, an adaptive virtual inertia control strategy for M3C enhances sustained inertia support. A coordinated frequency control scheme between wind farm, M3C, and ES is further constructed to achieve faster and better frequency stabilization under wind and load variations. Simulation results under a 10.5 MW load disturbance show that, compared with the uncontrolled scheme, the proposed scheme raises the frequency nadir from 49.01 Hz to 49.67 Hz, limits the maximum rate of change of frequency (ROCOF) to 0.583 Hz/s with a 49.8% reduction, fully eliminates SFD, and provides theoretical support for the stable grid integration of fractional frequency offshore wind power.

ElectronicsVol. 15(9)
Electric Power Research Institute (US), State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN), Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 7%
Microgrid Control and Optimization
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Virtual Inertia and Frequency Control of Flexible Fractional Frequency Offshore Wind Power System Based on Modular Multilevel Matrix Converter — Yongqing Meng, Ziyue Yang, et al. · Electronics (2026) | TGRS Research Map | TGRS