退役动力电池多场景梯次利用优化研究

许青; 滕婕

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

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (10) : 541-549. DOI: 10.19912/j.0254-0096.tynxb.2022-1004

退役动力电池多场景梯次利用优化研究

许青, 滕婕

作者信息 +

MULTI-SCENE CASCADE UTILIZATION OPTIMIZATION OF RETIRED POWER BATTERY

Xu Qing, Teng Jie

Author information +

文章历史 +

摘要

为提高退役动力电池的利用率和经济效益。提出一种基于多场景应用的退役电池优化配置及经济运行研究方法,该方法根据退役动力电池剩余可用容量,依次参与不同应用场景,以年净收益最大为目标函数,构建多场景联合梯次利用优化配置和投资回收期模型,并利用改进鲸鱼算法进行求解。最后,仿真结果表明：多场景梯次利用可有效提高退役电池经济效益和缩短投资回收期,相比风/光伏电站单一场景,其年净收益提高了3.378倍,投资回收期缩短了10.774 a。

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.

导出引用

许青, 滕婕. 退役动力电池多场景梯次利用优化研究[J]. 太阳能学报. 2023, 44(10): 541-549 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1004

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

中图分类号： TK513.5

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