Frequency Regulation Adaptive Control Strategy of Wind Energy Storage System for Wind Speed Uncertainty

Changqing Chen () and Lixiong Li
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Changqing Chen: Key Laboratory of Smart City Energy Sensing and Edge Computing of Hunan Province, Hunan City University, Yiyang 413000, China
Lixiong Li: Key Laboratory of Smart City Energy Sensing and Edge Computing of Hunan Province, Hunan City University, Yiyang 413000, China

Energies, 2024, vol. 17, issue 11, 1-14

Abstract: In order to reduce the negative influence of wind speed randomness and prediction error on frequency modulation, the reliability of the wind storage system was assessed effectively. In the wind storage frequency modulation system, a state of charge (SOC) adaptive adjustment method for wind speed randomness is proposed. Firstly, through the correlation analysis between the standby capacity of frequency modulation and the output power of wind turbine, the uncertainty of its frequency modulation capacity is revealed. Secondly, in view of the uncertainty of wind turbine frequency modulation, the output power of energy storage frequency modulation is optimized with the goal of minimizing the frequency modulation power deviation of the wind storage front under the framework of model predictive control, and the improved whale optimization algorithm (WOA) is used to solve the problem. Finally, the simulation results show that, under the given 5 min continuous disturbance, the root mean square of frequency regulation of the proposed restoration method is reduced by 56.65% compared to the SOC recovery base point set to 0.5. Under continuous large perturbations, the maximum frequency deviation is reduced by 0.0455 Hz. This effectively shows that this method can not only improve the frequency modulation reliability of wind power system but also improve the continuous frequency modulation capability of energy storage system.

Keywords: frequency regulation; wind storage system; model prediction control; SOC; self-adaptation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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