Life cycle benefit evaluation of shared energy storage based on improved TOPSIS-ANP-CRITIC

doi:10.19799/j.cnki.2095-4239.2024.0836

Abstract

Abstract:

Addressing the inadequacies in existing benefit assessment methods throughout the full life cycle of shared energy storage, this paper proposes an evaluation approach that combines the Criteria Importance Through Intercriteria Correlation (CRITIC) method with the Analytic Network Process (ANP) to enhance the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). First, a comprehensive evaluation system is established using economic, environmental, market, and social benefits as fundamental indicators, in accordance with the operational mode of shared energy storage in China. Next, experts are invited to assign scores using the ANP to derive subjective weights, while the CRITIC method calculates data correlations to determine objective weights. Then, a combined weighting method integrates the weights from the ANP and CRITIC methods equally, ensuring that more important factors exert greater influence in decision making and further enhancing data utilization. Finally, to overcome the limitation of traditional TOPSIS in providing results in a single form, the calculation of relative closeness to the ideal solution is refined by incorporating target scenarios that more intuitively reflect the development trend of shared energy storage and facilitate both horizontal and vertical evaluation comparisons among various scenarios. A pilot project of shared energy storage is employed as a case study, yielding the overall development trend of the project and the rankings of typical years. In the vertical evaluation, the closeness degrees to the expected targets for environmental and market benefits in the 15th typical year are 1.013 and 1.011, respectively, exceeding the expected targets, and in the horizontal ranking, the 15th typical year ranks first. The evaluation results validate that the proposed assessment method can accurately assess the development trend of shared energy storage and provide essential guidance for its construction.

Key words: shared energy storage, TOPSIS, comprehensive evaluation system, CRITIC, ANP

CLC Number:

TM 9

Shuangming DUAN, Tengfei LV, Junhui LI, Zhiqiang ZHAO, Haojun LIU, Yuyi ZHENG. Life cycle benefit evaluation of shared energy storage based on improved TOPSIS-ANP-CRITIC[J]. Energy Storage Science and Technology, 2025, 14(3): 1210-1223.

Figures/Tables 10

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References 20

1	闫东翔, 陈玥. 共享储能商业模式和定价机制研究综述[J]. 电力系统自动化, 2022, 46(23): 178-191. DOI: 10.7500/AEPS20220219003.
	YAN D X, CHEN Y. Review on business model and pricing mechanism for shared energy storage[J]. Automation of Electric Power Systems, 2022, 46(23): 178-191. DOI: 10.7500/AEPS 20220219003.
2	杨裕生, 程杰, 曹高萍. 规模储能装置经济效益的判据[J]. 电池, 2011, 41(1): 19-21. DOI: 10.3969/j.issn.1001-1579.2011.01.007.
	YANG Y S, CHENG J, CAO G P. A gauge for direct economic benefits of energy storage devices[J]. Battery Bimonthly, 2011, 41(1): 19-21. DOI: 10.3969/j.issn.1001-1579.2011.01.007.
3	史普鑫, 史沛然, 王佩雯, 等. 华北区域电力调峰辅助服务市场分析与运行评估[J]. 电力系统自动化, 2021, 45(20): 175-184. DOI: 10.7500/AEPS20201025003.
	SHI P X, SHI P R, WANG P W, et al. Analysis and operation evaluation of power peak-shaving ancillary service market in North China[J]. Automation of Electric Power Systems, 2021, 45(20): 175-184. DOI: 10.7500/AEPS20201025003.
4	ZHAO H R, GUO S, ZHAO H R. Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences[J]. Energy, 2019, 168: 450-461. DOI:10.1016/j.energy.2018.11.129.
5	赵书强, 汤善发. 基于改进层次分析法、CRITIC法与逼近理想解排序法的输电网规划方案综合评价[J]. 电力自动化设备, 2019, 39(3): 143-148, 162. DOI: 10.16081/j.issn.1006-6047.2019.03.023.
	ZHAO S Q, TANG S F. Comprehensive evaluation of transmission network planning scheme based on improved analytic hierarchy process, CRITIC method and TOPSIS[J]. Electric Power Automation Equipment, 2019, 39(3): 143-148, 162. DOI: 10.16081/j.issn.1006-6047.2019.03.023.
6	MAHMOOD S. Wind energy development site selection using an integrated fuzzy ANP-TOPSIS decision model[J]. Energies, 2022, 15(12): 4289.
7	王沛文, 林岩. 基于ANP与模糊TOPSIS-CRITIC方法的不确定多属性决策模型[J]. 数学的实践与认识, 2021, 51(6): 157-169.
	WANG P W, LIN Y. Uncertain multi-attribute decision-making model based on ANP and fuzzy TOPSIS-CRITIC method[J]. Journal of Mathematics in Practice and Theory, 2021, 51(6): 157-169.
8	中国化学与物理电源行业协会.2024年度中国共享储能发展白皮书:共享储能电站市场发展状况[R/OL] .(2024-03-10) [2024-04-15].http://www.cies.net.cn/index.html.
9	陆秋瑜, 杨银国, 谢平平, 等. 风电场集群租赁共享储能两阶段优化运行策略[J]. 电网技术, 2024, 48(3): 1146-1165. DOI: 10.13335/j.1000-3673.pst.2023.0104
	LU Q Y, YANG Y G, XIE P P, et al. Two-stage optimal operation strategy of wind farm cluster leasing shared energy storage[J]. Power System Technology, 2024, 48(3): 1146-1165. DOI: 10.13335/j.1000-3673.pst.2023.0104
10	帅轩越, 王秀丽, 吴雄, 等. 计及电热需求响应的共享储能容量配置与动态租赁模型[J]. 电力系统自动化, 2021, 45(19): 24-32. DOI: 10.7500/AEPS20210518003.
	SHUAI X Y, WANG X L, WU X, et al. Shared energy storage capacity allocation and dynamic lease model considering electricity-heat demand response[J]. Automation of Electric Power Systems, 2021, 45(19): 24-32. DOI: 10.7500/AEPS 20210518003.
11	陈晨, 闫向阳, 齐桓若, 等. 基于FAHP-改进CRITIC组合赋权的屋顶光伏接入配网评价方法[J]. 电力系统保护与控制, 2023, 51(15): 97-108. DOI: 10.19783/j.cnki.pspc.230072.
	CHEN C, YAN X Y, QI H R, et al. An evaluation method of a roof photovoltaic access distribution network based on the weight of FAHP-improvement CRITIC combination[J]. Power System Protection and Control, 2023, 51(15): 97-108. DOI: 10.19783/j.cnki.pspc.230072.
12	南国良, 张露江, 郭志敏, 等. 电网侧储能参与调峰辅助服务市场的交易模式设计[J]. 电气工程学报, 2020, 15(3): 88-96.
	NAN Guoliang, ZHANG Lujiang, GUO Zhimin, et al. Design of transaction model for grid-side energy storage participating in ancillary service market for peak regulation[J]. Journal of Electrical Engineering, 2020, 15(3): 88-96.
13	高伟凯, 何川, 刘天琪, 等. 考虑微电网联盟协调运行的用户侧共享储能多计费方式博弈定价方法[J]. 电力自动化设备, 2024, 44(9): 16-23. DOI:10.16081/j.epae.202404009.
	GAO Weikai, HE Chuan, LIU Tianqi, et al. A game-based pricing method for multi-billing modes of customer-side shared energy storage considering coordinated operation of microgrid alliance[J]. Electric Power Automation Equipment, 2024, 44(9): 16-23.DOI:10.16081/j.epae.202404009.
14	李军徽, 张嘉辉, 李翠萍, 等. 参与调峰的储能系统配置方案及经济性分析[J]. 电工技术学报, 2021, 36(19): 4148-4160. DOI: 10.19595/j.cnki.1000-6753.tces.200678.
	LI J H, ZHANG J H, LI C P, et al. Configuration scheme and economic analysis of energy storage system participating in grid peak shaving[J]. Transactions of China Electrotechnical Society, 2021, 36(19): 4148-4160. DOI: 10.19595/j.cnki.1000-6753.tces.200678.
15	华夏, 罗凡, 张建华, 等. 促进新能源消纳的自备电厂发电权交易模式可行性探讨[J]. 电力系统自动化, 2016, 40(12): 200-206. DOI: 10.7500/AEPS20150413002.
	HUA X, LUO F, ZHANG J H, et al. Feasibility analysis of trade mode promoting new energy consumption based on generation rights trade of self-generation power plants[J]. Automation of Electric Power Systems, 2016, 40(12): 200-206. DOI: 10.7500/AEPS20150413002.
16	刘洋恺, 孙伟卿, 刘唯. 基于AHP和TOPSIS-模糊综合评价的多场景储能选型方法[J]. 储能科学与技术, 2024, 13(2): 691-701.
	LIU Y K, SUN WQ, LIU W. A Multi-scenario energy storage selection method based on AHP and TOPSIS-Fuzzy comprehensive evaluation [J]. Energy Storage Science and Technology, 2024, 13(2): 691-701.
17	黄雄峰, 翁杰, 张宇娇. 微电网建设规划方案评估与选择[J]. 电工技术学报, 2015, 30(21): 76-81. DOI: 10.3969/j.issn.1000-6753. 2015.21.009.
	HUANG X F, WENG J, ZHANG Y J. Evaluation and selection of microgrid construction planning schemes[J]. Transactions of China Electrotechnical Society, 2015, 30(21): 76-81. DOI: 10.3969/j.issn.1000-6753.2015.21.009.
18	张晋铭, 欧阳森, 张杰宁, 等. 规模化屋顶光伏接入配电网的建设决策[J]. 电力自动化设备, 2024, 44(7): 287-294. DOI:10.16081/j.epae. 202404020.
	ZHANG Jinming, OUYANG Sen, ZHANG Jiening, et al. Construction decision-making for large-scale rooftop photovoltaic integration into distribution networks[J]. Electric Power Automation Equipment, 2024, 44(7): 287-294. DOI:10. 16081/j.epae.202404020.
19	梅杨, 吕宁, 魏铮. 间接矩阵变换器-双异步电机调速系统的模型预测控制权重因数整定[J]. 电工技术学报, 2024, 39(23): 7554-7565. DOI: 10.19595/j.cnki.1000-6753.tces.231428.
	MEI Y, LÜ N, WEI Z. Model predictive control weight factor tuning method for indirect matrix converter-double induction motors speed control system[J]. Transactions of China Electrotechnical Society, 2024, 39(23): 7554-7565. DOI: 10.19595/j.cnki.1000-6753.tces.231428.
20	陈佳君, 胡冰, 施端阳, 等. 基于改进TOPSIS-RSR的雷达装备测试性评估方法[J/OL]. 现代防御技术, 2023: 1-11. (2023-11-08). http://kns.cnki.net/KCMS/detail/detail.aspx? filename=XDFJ20231106005&dbname=CJFD&dbcode=CJFQ.

方案	指标
方案	A₁/万元	A₂/万元	A₃/万元	A₄/万元	A₅/万元	B₁/t	B₂/kg	B₃/kg	C₁/%	C₂/%	C₃/%	D₁/万元	D₂/万元
典型年1	10990.42	622.10	1244.20	329.71	35.35	1177.17	799.43	3553.01	100.00	33.3	75.00	2463.90	2310.88
典型年2	10990.42	586.89	1173.77	329.71	54.15	1315.14	893.13	3969.45	50.00	33.3	76.81	2691.52	2376.14
典型年3	10090.42	677.77	1186.10	302.71	62.84	1492.83	1013.80	4505.77	50.00	66.7	80.48	2996.42	2460.12
典型年4	10090.42	639.40	1118.96	302.71	141.06	1440.54	978.29	4347.95	100.00	66.67	84.14	3316.68	2581.80
典型年5	10090.42	754.01	1206.42	302.71	271.86	1742.66	1183.46	5259.81	50.00	33.33	87.24	3630.14	2663.70
典型年6	9490.42	669.04	1070.46	284.71	336.41	1801.76	1223.60	5438.20	50.00	66.67	90.20	3950.80	2763.80
典型年7	9490.42	757.40	1136.10	284.71	427.42	2107.73	1431.38	6361.70	100.00	33.33	92.33	4044.00	2789.28
典型年8	8290.42	624.18	936.27	248.71	424.25	1983.81	1347.23	5987.69	50.00	66.67	92.69	4263.00	2836.86
典型年9	8290.42	686.99	981.42	248.71	450.55	2261.61	1535.89	6826.16	100.00	66.67	93.24	4492.40	2832.18
典型年10	7990.42	624.65	892.36	239.71	488.21	2272.69	1543.41	6859.59	50.00	66.67	93.70	4719.60	2858.96
典型年11	7990.42	673.48	926.03	239.71	547.07	2420.45	1643.75	7305.57	50.00	66.67	94.25	4953.60	2846.22
典型年12	7990.42	635.36	873.62	239.71	612.09	2567.30	1743.48	7748.80	50.00	100.00	94.70	4977.60	2897.70
典型年13	7090.42	598.37	797.82	212.71	687.32	2439.21	1656.50	7362.20	100.00	100.00	94.98	4992.00	2863.12
典型年14	7090.42	564.50	752.66	212.71	775.56	2474.39	1680.39	7468.39	50.00	100.00	96.35	5275.00	2946.06
典型年15	6490.42	541.65	704.14	194.71	766.28	2658.90	1805.69	8025.27	100.00	100.00	98.08	5370.00	2963.74

指标	取值范围	预期目标数值	指标类型
A₁/元	(0, ∞)	60000000	成本型
A₂/元	(0, ∞)	5000000	成本型
A₃/元	(0, ∞)	8000000	成本型
A₄/元	[0, ∞)	3000000	效益型
A₅/元	[0, ∞)	10000000	效益型
B₁/kg	[0, ∞)	2000000	效益型
B₂/kg	[0, ∞)	2000	效益型
B₃/kg	[0, ∞)	7000	效益型
C₁/%	[0, 100]	100	效益型
C₂/%	[0, 100]	100	效益型
C₃/%	[0, 100]	95	效益型
D₁/元	[0, ∞)	55000000	效益型
D₂/元	[0, ∞)	30000000	效益型

方案	排名	方案	排名
典型年1	8	典型年9	12
典型年2	4	典型年10	5
典型年3	13	典型年11	10
典型年4	9	典型年12	7
典型年5	15	典型年13	3
典型年6	11	典型年14	2
典型年7	14	典型年15	1
典型年8	6

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