A power smoothing strategy without energy storage system by utilizing the large rotational inertia of the wind turbine rotor to achieve power smoothing is proposed to solve the problem of output power fluctuations of modern large-scale wind turbines under rated wind speed. Firstly
the inherent characteristics of the wind turbines are employed to provide an immediate and accurate equivalent wind speed for control participation. Secondly
the upper and lower limits of the rotational speed are set for each wind speed segment based on high aerodynamic efficiency zone and wide speed-ratio design
and the entire inertia control process is given simultaneously to achieve the energy storage and release of the wind turbine rotor. Subsequently
multiple prediction models based on the slope of the wind speed pulsation trend are constructed via big data sources to realize the predictive action of the torque. Finally
the comparative simulation experiments of the power output of the wind turbine are carried out by BLADED simulation software and a certain actual wind farm. The results show that the adopted strategy stabilizes the output power effectively without the additional energy storage devices.
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TANG M N, WANG W J, ZHEN X F, et al.Robust control of wind turbines to reduce wind power fluctuation[J]. Energy science & engineering, 2024, 12(5): 1818-1834.
WANG X, ZHOU J S, QIN B, et al.Coordinated power smoothing control strategy of multi-wind turbines and energy storage systems in wind farm based on MADRL[J]. IEEE transactions on sustainable energy, 2024, 15(1): 368-380.
WAN C, QIAN W T, ZHAO C F, et al.Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing[J]. IEEE transactions on sustainable energy, 2021, 12(4): 1841-1852.
ERDENEBAT M, MOON C J, BAYASGALAN Z.Wind turbine power control for turbulence wind speed[C]//2020 IEEE Region 10 Symposium (TENSYMP). Dhaka, Bangladesh, 2020: 539-542.
NAIK K A, GUPTA C P, FERNANDEZ E.Wind power smoothing in partial load region with advanced fuzzy-logic based pitch-angle controller[J]. Wind engineering, 2022, 46(1): 52-68.
ZHU Y, WANG Z C, GUO X B, et al.An improved kinetic energy control strategy for power smoothing of PMSG-WECS based on low pass filter and fuzzy logic controller[J]. Electric power systems research, 2023, 214: 108816.
HU W C, CHENG B L, YANG Q S, et al.A novel two-layer hybrid model for ultra-short-term wind speed prediction based on SSP and BO-LSTM[J]. Wind and structures, 2023, 36(5): 293-305.
ZHANG Z, WANG Y S, XU Z W, et al.Multiscale ultra-short-term wind power prediction model based on GD-IFEM-PSO and VMD-BP[J]. Energy science & engineering, 2023, 11(12): 4700-4721.
Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology of Ministry of Education (Northeast Electric Power University)
School of Mechanical and Electrical Engineering, Lanzhou University of Technology
Faulty of Automation, Huaiyin Institute of Technology, Huaian
Key Laboratory of Thermo-Fluid Science & Engineering of MOE, Xi’an Jiaotong University
School of Computer and Communication, Lanzhou University of Technology