ENERGY CAPACITY CONFIGURATION OF WIND-SOLAR-STORAGE MICROGRID CONSIDERING POWER INTERACTION

Zhang Fan; Lin Zeyuan; Han Benshuai; Wang Zongyao; Hu Shaoyi

doi:10.19912/j.0254-0096.tynxb.2024-0742

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 217-224. DOI: 10.19912/j.0254-0096.tynxb.2024-0742

ENERGY CAPACITY CONFIGURATION OF WIND-SOLAR-STORAGE MICROGRID CONSIDERING POWER INTERACTION

Zhang Fan^1,2, Lin Zeyuan¹, Han Benshuai¹, Wang Zongyao³, Hu Shaoyi⁴

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Abstract

In the grid-connected operation mode, the microgrid needs to exchange power with the main grid in both directions to balance its own power demand. When the output power of the wind and solar power generation system fluctuates rapidly, the power exchange between the microgrid and the main grid becomes unstable, resulting in frequent adjustments of power exchange. If there is a lag between the capacity of energy storage equipment and this response, it will lead to instability in the internal voltage and frequency of the microgrid. Therefore, a comprehensive energy capacity allocation method for wind, solar, and storage microgrids is proposed. Power interaction constraints are specifically considered. By establishing a capacity allocation model that includes a cost function and a reliability function, and introducing power interaction as a key constraint condition into the model, it is ensured that when the output power of the wind and solar power generation system fluctuates, the power exchange between the microgrid and the main grid can remain stable, avoiding excessive power fluctuations that impact system stability. In order to solve this complex multi-objective function problem, an improved dung beetle algorithm is introduced to achieve global search and optimization by simulating the foraging behavior of dung beetles in nature. This algorithm can find an energy capacity allocation scheme that optimizes both the cost function and reliability function under the constraint condition of power interaction. The results show that the microgrid system configured using the method proposed in this study is superior to traditional methods in terms of operating costs and load loss probability. This method not only reduces operating costs, but also significantly reduces load loss events and improves power supply reliability. This achievement fully demonstrates the superiority and innovation of the method proposed in this study in energy capacity allocation for microgrids.

Key words

power interaction constraint / wind and solar energy storage / microgrid / integrated energy / capacity configuration

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Zhang Fan, Lin Zeyuan, Han Benshuai, Wang Zongyao, Hu Shaoyi. ENERGY CAPACITY CONFIGURATION OF WIND-SOLAR-STORAGE MICROGRID CONSIDERING POWER INTERACTION[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 217-224 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0742

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