OPTIMAL ALLOCATION OF LITHIUM BATTERY CLOUD-EDGE COLLABORATIVE ENERGY STORAGE SYSTEM BASED ON SPEA2-SA ALGORITHM

Lyu Yunpeng; Lan Yeshen

doi:10.19912/j.0254-0096.tynxb.2024-1899

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 514-524. DOI: 10.19912/j.0254-0096.tynxb.2024-1899

OPTIMAL ALLOCATION OF LITHIUM BATTERY CLOUD-EDGE COLLABORATIVE ENERGY STORAGE SYSTEM BASED ON SPEA2-SA ALGORITHM

Lyu Yunpeng, Lan Yeshen

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Abstract

Comprehensively considering the optimal allocation scheme and operation strategy of lithium battery energy storage system, an optimal allocation model of lithium battery cloud-edge collaborative energy storage system is proposed, which takes into account economic performance and reliability. Firstly, a mathematical model is established with the objective functions of the cost of the lithium battery cloud-edge collaborative energy storage system, the benefit of energy release by the energy storage system and the reliability of the power grid. On this basis, considering the constraints of distribution network and energy storage system, lithium battery cloud-edge collaborative energy storage system is optimized to improve the absorption capacity of renewable energy such as photovoltaic power and improve the stability of the power system. Secondly, SPEA2-SA algorithm was used to solve the multi-objective model to find the optimal solution of lithium battery cloud-edge collaborative energy storage system under the multi-objective situation, overcome the power grid fluctuation problem, and obtain the optimal allocation and operation scheme of the energy storage system. Finally, using the above research model and algorithm, the IEEE-33 node model is used to conduct simulation experiments on the effectiveness of the lithium battery cloud-edge collaborative energy storage system. The simulation results of the example show that the optimal allocation scheme of the lithium battery cloud-edge collaborative energy storage system optimized by the SPEA2-SA algorithm can significantly reduce the operating cost and effectively improve the operating stability of the photovoltaic power grid, thus validating the superiority and effectiveness of the SPEA2-SA algorithm.

Key words

lithium batteries / battery storage / reliability / economic performance / cloud-edge collaboration / SPEA2-SA algorithm

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Lyu Yunpeng, Lan Yeshen. OPTIMAL ALLOCATION OF LITHIUM BATTERY CLOUD-EDGE COLLABORATIVE ENERGY STORAGE SYSTEM BASED ON SPEA2-SA ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 514-524 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1899

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