RESEARCH ON CONFIGURATION METHOD OF ENERGY STORAGE CAPACITY FOR RETIRED BATTERIES BASED ON MAXIMIZING ECONOMIC BENEFITS THROUGHOUT LIFE CYCLE

Liu Qiuhua; Wang Mingkang; Yang Shengcheng

doi:10.19912/j.0254-0096.tynxb.2023-0457

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (7) : 143-152. DOI: 10.19912/j.0254-0096.tynxb.2023-0457

RESEARCH ON CONFIGURATION METHOD OF ENERGY STORAGE CAPACITY FOR RETIRED BATTERIES BASED ON MAXIMIZING ECONOMIC BENEFITS THROUGHOUT LIFE CYCLE

Liu Qiuhua¹, Wang Mingkang², Yang Shengcheng¹

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Abstract

With the vigorous development of new energy vehicles, a large number of batteries will be retired to participate in the new power system in the future. In order to maximize the economic benefits of the cascade utilization of retired batteries, it is necessary to optimize the capacity configuration of the retired battery energy storage system. This article first proposes a retired battery life assessment method based on the rain flow counting method and the equivalent cycle life method, Then, based on the application scenario of peak shaving and valley filling, a capacity configuration method for the full life cycle energy storage system of retired batteries is proposed, which comprehensively considers factors such as low storage and high discharge benefits, carbon emission reduction benefits, delayed grid upgrade benefits, initial investment costs, and operation and maintenance costs, and uses particle swarm optimization algorithm to solve the problem. Finally, based on the results of the example, it can be concluded that this capacity configuration method can not only improve the economic benefits of retired battery energy storage systems, but also extend the lifespan of retired battery energy storage systems.

Key words

retired battery / energy storage system / capacity configuration / particle swarm optimization / economic performance

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Liu Qiuhua, Wang Mingkang, Yang Shengcheng. RESEARCH ON CONFIGURATION METHOD OF ENERGY STORAGE CAPACITY FOR RETIRED BATTERIES BASED ON MAXIMIZING ECONOMIC BENEFITS THROUGHOUT LIFE CYCLE[J]. Acta Energiae Solaris Sinica. 2024, 45(7): 143-152 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0457

References

[1] 陈景文, 莫瑞瑞, 党宏社, 等. 储能型光伏系统电池容量优化配置及经济性分析[J]. 科学技术与工程, 2019, 19(28): 165-171.
CHEN J W, MO R R, DANG H S, et al.Battery capacity optimal configuration and economical analysis of energy storage photovoltaic system[J]. Science technology and engineering, 2019, 19(28): 165-171.
[2] 王帅, 尹忠东, 田硕文, 等. 基于退役动力电池的家庭储能容量优化配置[J]. 电测与仪表, 2020, 57(9): 58-64, 88.
WANG S, YIN Z D, TIAN S W, et al.Capacity allocation of household energy storage system based on second-use of retired power battery[J]. Electrical measurement & instrumentation, 2020, 57(9): 58-64, 88.
[3] 蒋迎花, 侯少攀, 刘永忠. 多电池储能系统实现削峰填谷的分步优化方法[J]. 高校化学工程学报, 2020, 34(5): 1265-1273.
JIANG Y H, HOU S P, LIU Y Z.A step-wise optimization approach of peak-shaving for multi-type battery energy storage systems[J]. Journal of chemical engineering of Chinese universities, 2020, 34(5): 1265-1273.
[4] 李建林, 谭宇良, 王含, 等. 配网及光储微网储能系统配置优化策略[J]. 高电压技术, 2022, 48(5): 1893-1902.
LI J L, TAN Y L, WANG H, et al.Research on configuration optimization of energy storage system in distribution network and optical storage microgrid[J]. High voltage engineering, 2022, 48(5): 1893-1902.
[5] 刘颖明, 王瑛玮, 王晓东, 等. 基于蚁狮算法的风电集群储能容量配置优化方法[J]. 太阳能学报, 2021, 42(1): 431-437.
LIU Y M, WANG Y W, WANG X D, et al.Optimization of storage capacity allocation in wind farm cluster based on ant lion optimization algorithm[J]. Acta energiae solaris sinica, 2021, 42(1): 431-437.
[6] 赵伟, 袁锡莲, 周宜行, 等. 考虑运行寿命内经济性最优的梯次电池储能系统容量配置方法[J]. 电力系统保护与控制, 2021, 49(12): 16-24.
ZHAO W, YUAN X L, ZHOU Y X, et al.Capacity configuration method of a second-use battery energy storage system considering economic optimization within service life[J]. Power system protection and control, 2021, 49(12): 16-24.
[7] YAN G G, LIU D Y, LI J H, et al.A cost accounting method of the Li-ion battery energy storage system for frequency regulation considering the effect of life degradation[J]. Protection and control of modern power systems, 2018, 3(1): 1-9.
[8] 李培强, 李雄, 蔡笋, 等. 风电场含退役动力电池的混合储能系统容量优化配置[J]. 太阳能学报, 2022, 43(5): 492-498.
LI P Q, LI X, CAI S, et al.Capacity optimization configuration of hybrid energy storage system with retired power batteries in wind farms[J]. Acta energiae solaris sinica, 2022, 43(5): 492-498.
[9] 李凯, 马倩, 徐红兵, 等. 储能系统的荷电状态管理策略及其影响评价[J]. 电力系统自动化, 2015, 39(8): 27-32.
LI K, MA Q, XU H B, et al.SOC management strategy of storage system and its impact assessment[J]. Automation of electric power systems, 2015, 39(8): 27-32.
[10] 韩晓娟, 程成, 籍天明, 等. 计及电池使用寿命的混合储能系统容量优化模型[J]. 中国电机工程学报, 2013, 33(34): 83-89.
HAN X J, CHENG C, JI T M, et al.Capacity optimal modeling of hybrid energy storage systems considering battery life[J]. Proceedings of the CSEE, 2013, 33(34): 83-89.
[11] 李文超, 童亦斌, 张维戈. 计及电池使用寿命的电动汽车充电站储能容量配置方法[J]. 电工电能新技术, 2019, 38(4): 55-63.
LI W C, TONG Y B, ZHANG W G.Energy storage capacity allocation method of electric vehicle charging station considering battery life[J]. Advanced technology of electrical engineering and energy, 2019, 38(4): 55-63.
[12] 李建林, 修晓青, 刘道坦, 等. 计及政策激励的退役动力电池储能系统梯次应用研究[J]. 高电压技术, 2015, 41(8): 2562-2568.
LI J L, XIU X Q, LIU D T, et al.Research on second use of retired electric vehicle battery energy storage system considering policy incentive[J]. High voltage engineering, 2015, 41(8): 2562-2568.
[13] 张金国, 焦东升, 王小君, 等. 基于梯级利用电池的储能系统经济运行分析[J]. 电网技术, 2014, 38(9): 2551-2555.
ZHANG J G, JIAO D S, WANG X J, et al.Analysis on economic operation of energy storage based on second-use batteries[J]. Power system technology, 2014, 38(9): 2551-2555.
[14] 罗凤章, 米肇丰, 王成山, 等. 并网光伏发电工程的低碳综合效益分析模型[J]. 电力系统自动化, 2014, 38(17): 163-169.
LUO F Z, MI Z F, WANG C S, et al.Comprehensive low-carbon benefit analysis models of grid-connected photovoltaic power generation projects[J]. Automation of electric power systems, 2014, 38(17): 163-169.
[15] 修晓青, 唐巍, 李建林, 等. 计及电池健康状态的源储荷协同配置方法[J]. 高电压技术, 2017, 43(9): 3118-3126.
XIU X Q, TANG W, LI J L, et al.Collaborative configuration of distributed generation, energy storage and load in microgrid considering state of health[J]. High voltage engineering, 2017, 43(9): 3118-3126.
[16] 施泉生, 郭良合, 张孝君. 综合考虑多主体经济效益的分布式电源优化配置研究[J]. 电力系统保护与控制, 2016, 44(1): 85-91.
SHI Q S, GUO L H, ZHANG X J.Research on optimal configuration of distributed generation considering economic benefits of the multi-agent[J]. Power system protection and control, 2016, 44(1): 85-91.
[17] 刘大贺, 韩晓娟, 李建林. 基于光伏电站场景下的梯次电池储能经济性分析[J]. 电力工程技术, 2017, 36(6): 27-31, 77.
LIU D H, HAN X J, LI J L.Economic analysis of echelon battery energy storage based on artificial fish swarm algorithm[J]. Electric power engineering technology, 2017, 36(6): 27-31, 77.