RISK ASSESSMENT OF ELECTROCHEMICAL ENERGY STORAGE POWER STATIONS BASED ON COMBINED WEIGHTING-CLOUD MODEL

Zeng Xing, Wei Bin, Lai Yilin, Chen Hao, Zhao Yi

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 9-13.

PDF(6135 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(6135 KB)
Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 9-13. DOI: 10.19912/j.0254-0096.tynxb.2025-1112

RISK ASSESSMENT OF ELECTROCHEMICAL ENERGY STORAGE POWER STATIONS BASED ON COMBINED WEIGHTING-CLOUD MODEL

  • Zeng Xing, Wei Bin, Lai Yilin, Chen Hao, Zhao Yi
Author information +
History +

Abstract

In response to the frequent occurrence of safety incidents at energy storage stations and the limitations of existing safety assessment methods-such as arbitrary weight assignment, inadequate handling of uncertainty, and limited adaptability to diverse scenarios-this paper proposes a safety risk assessment method for energy storage stations based on a combined weighting cloud model. First, by comprehensively considering the overall operation of the energy storage station, an assessment index system for safety risks is constructed to address the deficiencies of existing systems, namely the lack of holistic operational representation and insufficient applicability. Second, an improved Analytic Hierarchy Process (AHP) is employed to determine subjective weights, eliminating the consistency verification issue inherent in traditional AHP; this is combined with the CRITIC method to calculate objective weights for each index, and a game-theory-based approach is used to optimize the weight combination. Then, a safety risk assessment model based on the cloud model is developed using cloud theory, fully leveraging its strengths in converting uncertainties between qualitative concepts and quantitative data, thereby effectively resolving the assessment challenge posed by the coexistence of randomness and fuzziness in the risks of energy storage stations. Finally, taking a lithium iron phosphate energy storage station as a case study, the effectiveness of the proposed method is validated, providing valuable reference and a scientific criterion for the safe and stable operation of energy storage stations.

Key words

energy storage power station / risk assessment / indicator system / combined weighting / game theory / cloud model

Cite this article

Download Citations
Zeng Xing, Wei Bin, Lai Yilin, Chen Hao, Zhao Yi. RISK ASSESSMENT OF ELECTROCHEMICAL ENERGY STORAGE POWER STATIONS BASED ON COMBINED WEIGHTING-CLOUD MODEL[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 9-13 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1112

References

[1] 谢小荣, 马宁嘉, 刘威, 等. 新型电力系统中储能应用功能的综述与展望[J]. 中国电机工程学报, 2023, 43(1): 158-169.
Xie X R, Ma N J, Liu W, et al.Functions of energy storage in renewable energy dominated power systems: review and prospect[J]. Proceedings of the CSEE, 2023, 43(1): 158-169.
[2] Li X J, Li H N, Fang B M, et al.Energy management strategy of battery energy storage station (BESS) for power grid frequency regulation considering battery SOX[J]. Energy Reports, 2023, 9: 283-292.
[3] Liu P J, Li Y Q, Mao B B, et al.Experimental study on thermal runaway and fire behaviors of large format lithium iron phosphate battery[J]. Applied Thermal Engineering, 2021, 192: 116949.
[4] Yang Y, Wang R J, Shen Z J, et al.Towards a safer lithium-ion batteries: a critical review on cause, characteristics, warning and disposal strategy for thermal runaway[J]. Advances in Applied Energy, 2023, 11: 100146.
[5] 曹文炅, 雷博, 史尤杰, 等. 韩国锂离子电池储能电站安全事故的分析及思考[J]. 储能科学与技术, 2020, 9(5): 1539-1547.
Cao W J, Lei B, Shi Y J, et al.Ponderation over the recent safety accidents of lithium-ion battery energy storage stations in South Korea[J]. Energy Storage Science and Technology, 2020, 9(5): 1539-1547.
[6] 陈豪, 刁嘉, 白恺, 等. 储能锂电池运行状态综合评估指标研究[J]. 中国电力, 2016, 49(5): 149-156.
Chen H, Diao J, Bai K, et al.Research on evaluation indicators for a comprehensive assessment of operating status of lithium battery energy storage[J]. Electric Power, 2016, 49(5): 149-156.
[7] 于璐, 张辉, 田培根, 等. 一种梯次利用电池可重构储能系统多级在线安全评估及风险预警定位方法[J]. 太阳能学报, 2022, 43(5): 461-467.
Yu L, Zhang H, Tian P G, et al.Multi-level on-line safety assessment of reconfigurable energy storage system using secondary batteries risk warning postitioning method[J]. Acta Energiae Solaris Sinica, 2022, 43(5): 461-467.
[8] 宁雪峰, 张慧珍, 许加柱. 基于改进AHP-TOPSIS的储能电站安全综合评估[J]. 太阳能学报, 2024, 45(5): 251-259.
Ning X F, Zhang H Z, Xu J Z.Comprehensive safety evaluation of energy storage power station based on improved AHP-TOPSIS[J]. Acta Energiae Solaris Sinica, 2024, 45(5): 251-259.
[9] 肖勇, 徐俊. 基于组合赋权与TOPSIS的储能电站电池安全运行风险评价[J]. 储能科学与技术, 2022, 11(8): 2574-2584.
Xiao Y, Xu J.Risk assessment of battery safe operation in energy storage power station based on combination weighting and TOPSIS[J]. Energy Storage Science and Technology, 2022, 11(8): 2574-2584.
[10] 刘纪坤, 袁雪颖, 梁栋, 等. G1-CRITIC组合赋权云模型下的储能电站火灾风险评价[J]. 西安科技大学学报, 2024, 44(3): 447-455.
Liu J K, Yuan X Y, Liang D, et al.Fire risk evaluation of energy storage power station based on G1-CRITIC combination weighting cloud model[J]. Journal of Xi’an University of Science and Technology, 2024, 44(3): 447-455.
[11] Hou J, Gao T, Yang Y, et al.Battery inconsistency evaluation based on hierarchical weight fusion and fuzzy comprehensive evaluation method[J]. Journal of Energy Storage, 2024, 84: 110878.
[12] 谢桦, 刘哲, 孔德鹏, 等. 基于改进VIKOR算法的梯次利用电池电网储能场景适用性评价方法[J]. 全球能源互联网, 2024, 7(2): 201-209.
Xie H, Liu Z, Kong D P, et al.Scenario applicability evaluation method of second-life batteries for the grid energy storage based on the improved VIKOR algorithm[J]. Journal of Global Energy Interconnection, 2024, 7(2): 201-209.
[13] Wang D J, Sun H Y, Ge Y M, et al.Operation effect evaluation of grid side energy storage power station based on combined weight TOPSIS model[J]. Energy Reports, 2024, 11: 1993-2002.
[14] Chen L Q, Tang J R, Bian X H, et al.Condition assessment of distribution automation remote terminal units based on double-layer improved cloud model[J]. Energy Reports, 2022, 8: 408-425.
[15] 汤波, 马世伟, 林顺富, 等. 基于云理论的居民负荷集体谐波概率分布[J]. 电力系统自动化, 2016, 40(3): 39-45, 151.
Tang B, Ma S W, Lin S F, et al.Collective harmonic distribution of residential loads based on cloud theory[J]. Automation of Electric Power Systems, 2016, 40(3): 39-45, 151.
[16] 何永贵, 刘江. 基于组合赋权-云模型的电力物联网安全风险评估[J]. 电网技术, 2020, 44(11): 4302-4309.
He Y G, Liu J.Electric Internet of Things security risk assessment based on combined weighting-cloud model[J]. Power System Technology, 2020, 44(11): 4302-4309.
[17] 韩晓娟, 牟志国, 魏梓轩. 基于云模型的电化学储能工况适应性综合评估[J]. 电力工程技术, 2022, 41(4): 213-219.
Han X J, Mu Z G, Wei Z X.Comprehensive evaluation for the adaptability of electrochemical energy storage conditions based on cloud model[J]. Electric Power Engineering Technology, 2022, 41(4): 213-219.
[18] GB/T 42288—2022 电化学储能电站安全规程[S].
GB/T 42288—2022 Safety code of electrochemical energy storage station[S].
[19] GB/T 36549—2018 电化学储能电站运行指标及评价[S].
GB/T 36549—2018 Operation performance index and evaluation of electrochemical energy storage station[S].
[20] 曾星, 魏斌, 赖铱麟, 等. 锂电池储能电站安全综合评价方法综述[J]. 电源技术, 2025, 49(3): 486-496.
Zeng X, Wei B, Lai Y L, et al.Overview of comprehensive safety evaluation methods for lithium battery energy storage power stations[J]. Chinese Journal of Power Sources, 2025, 49(3): 486-496.
[21] 杨雨莹, 任晓芬, 张景, 等. 基于改进AHP-TOPSIS的村镇太阳能+生物质能联合供暖综合评价[J]. 太阳能学报, 2024, 45(2): 342-350.
Yang Y Y, Ren X F, Zhang J, et al.Comprehensive evaluation of combined solar+biomass heating in villages and towns based on improved AHP-TOPSIS[J]. Acta Energiae Solaris Sinica, 2024, 45(2): 342-350.
[22] Wang W, Zhang J F, Wang S, et al.A comprehensive performance evaluation algorithm for substation secondary equipment: an improved analytic hierarchy process entropy weight and learning vector quantization neural network approach[J]. The Journal of Engineering, 2024, 2024: e12347.
[23] 王敏, 邹婕, 王惠琳, 等. 基于改进的AHP-CRITIC-MARCOS配电网设备风险评估方法[J]. 电力系统保护与控制, 2023(3): 164-172.
Wang M, Zou J, Wang H L, et al.Improved AHP-CRITIC-MARCOS-based risk assessment method for distribution network equipment[J]. Power System Protection and Control, 2023(3): 164-172.
[24] 赵洪山, 李静璇, 米增强, 等. 基于CRITIC和改进Grey-TOPSIS的电能质量分级评估方法[J]. 电力系统保护与控制, 2022, 50(3): 1-8.
Zhao H S, Li J X, Mi Z Q, et al.Grading evaluation of power quality based on CRITIC and improved Grey-TOPSIS[J]. Power System Protection and Control, 2022, 50(3): 1-8.
[25] 林志军, 李敏, 贺珊, 等. 基于博弈论-贝叶斯网络的煤矿瓦斯爆炸风险评估[J]. 煤炭学报, 2024, 49(8): 3484-3497.
Lin Z J, Li M, He S, et al.Risk assessment of gas explosion in coal mines based on game theory and Bayesian network[J]. Journal of China Coal Society, 2024, 49(8): 3484-3497.
[26] Tang M R, Li R Y, Dai X Y, et al.New electric power system stability evaluation based on game theory combination weighting and improved cloud model[J]. Sustainability, 2024, 16(14): 6189.
[27] 吴炯璨, 方俊, 秦淑莹, 等. 基于云模型的环境工程PPP项目后评价[J]. 统计与决策, 2021, 37(15): 175-179.
Wu J C, Fang J, Qin S Y, et al.Post-evaluation of environmental engineering PPP project based on cloud model[J]. Statistics & Decision, 2021, 37(15): 175-179.
[28] Li L L, Liu L X, Yang C W, et al.The comprehensive evaluation of smart distribution grid based on cloud model[J]. Energy Procedia, 2012, 17: 96-102.
PDF(6135 KB)

Accesses

Citation

Detail

Sections
Recommended

/

〈 〉