MULTI-SCENE CASCADE UTILIZATION OPTIMIZATION OF RETIRED POWER BATTERY

Xu Qing; Teng Jie

doi:10.19912/j.0254-0096.tynxb.2022-1004

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 541-549. DOI: 10.19912/j.0254-0096.tynxb.2022-1004

MULTI-SCENE CASCADE UTILIZATION OPTIMIZATION OF RETIRED POWER BATTERY

Xu Qing, Teng Jie

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Abstract

In order to improve the utilization rate and economic benefit of retired power battery, this paper proposes a research method of optimal allocation and economic operation of retired battery based on multi-scenario application. According to the remaining available capacity of retired power battery, this method participates in different application scenarios in turn, and takes the maximum annual net income as objective function to build multi-scenario joint echelon utilization optimal allocation and investment payback period model. The improved Whale algorithm is used to solve the problem. Finally, the simulation results show that the multi-scenario stepwise utilization can effectively improve the economic benefits of retired batteries and shorten the payback period of investment. Compared with the single scenario of wind/photovoltaic power station, the annual net income is increased by 3.378 times and the payback period is shortened by 10.774 years.

Key words

energy storage / retired battery / echelon utilization / economic benefits / improved whale algorithm / investment payback period

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Xu Qing, Teng Jie. MULTI-SCENE CASCADE UTILIZATION OPTIMIZATION OF RETIRED POWER BATTERY[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 541-549 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1004

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