STRATEGY OF ENERGY STORAGE MPC TO SMOOTH GRID-CONNECTED POWER FLUCTUATION OF DISTRIBUTED WIND POWER

He Bin; Ren Yongfeng; Jia Weiqing; Xue Yu; Yang Pengwei; Ren Zheng

doi:10.19912/j.0254-0096.tynxb.2023-0110

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (6) : 132-139. DOI: 10.19912/j.0254-0096.tynxb.2023-0110

STRATEGY OF ENERGY STORAGE MPC TO SMOOTH GRID-CONNECTED POWER FLUCTUATION OF DISTRIBUTED WIND POWER

He Bin¹, Ren Yongfeng¹, Jia Weiqing², Xue Yu³, Yang Pengwei⁴, Ren Zheng⁴

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Abstract

This paper proposes a model predictive control strategy of wind-storage combined operation to solve the problem of grid-connected power fluctuation due to randomness and seasonal imbalance of distributed wind power generation. A wind-storage integrated operation model was established with the objectives of minimizing grid-connected power fluctuations, optimizing storage output, and minimizing energy losses, and Matlab quadratic programming was used to solve the grid-connected power of the wind power and the output power of the energy storage. In addition, a model predictive control algorith is used to optimize the charging and discharging power of battery storage to achieve real-time rolling optimization of the wind-storage grid-connected power, which maintains the storage SOC within a reasonable range and reduces the number of battery overruns. Finally, the example is selected to optimize the operation of a distributed wind farm in Inner Mongolia with different time scales of 1 and 10 min in the annual measured output power recording data. The simulation results show that the proposed method can optimize energy storage charging and discharging in real-time to reduce the grid-connected power fluctuations further and improve the economic operation of the combined wind and storage system.

Key words

model predictive control （MPC） / wind power / quadratic programming / battery storage / state of charge

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He Bin, Ren Yongfeng, Jia Weiqing, Xue Yu, Yang Pengwei, Ren Zheng. STRATEGY OF ENERGY STORAGE MPC TO SMOOTH GRID-CONNECTED POWER FLUCTUATION OF DISTRIBUTED WIND POWER[J]. Acta Energiae Solaris Sinica. 2024, 45(6): 132-139 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0110

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