Rental Price Decision of Shared Energy Storage Capacity Based on Supermodular Game

doi:10.11930/j.issn.1004-9649.202312059

Abstract

Abstract:

Under the background of construction of new power system, newly-constructed renewable energy stations are required to be equipped with energy storage system in many provinces in China. Shared energy storage capacity lease is a new model for renewable energy stations to meet the requirements with energy storage. However, its pricing mechanism is immature. In view of this, this paper proposes two energy storage allocation modes for renewable energy stations, namely self-construction and lease. Aiming at the competitive market of energy storage allocation composed of shared energy storage capacity leaseholders and energy storage equipment integrators, a decision model of shared energy storage capacity rental price based on supermodular game is constructed, which can solve the optimal price strategy of shared energy storage capacity lease under the equilibrium state of the market. A regional market with new energy stations equipped with energy storage system is used as an example to carry out pricing simulation. The results of the example have proved the effectiveness of the proposed model, which can provide a decision-making support for the price formulation and investment planning of shared energy storage.

Key words: shared energy storage, capacity lease, renewable energy station equipped with energy storage system, supermodular game, pricing decision

Yuqing WANG, Min ZHANG, Jiaxing WANG, Bohao LI, Tianyang YANG, Ming ZENG. Rental Price Decision of Shared Energy Storage Capacity Based on Supermodular Game[J]. Electric Power, 2025, 58(1): 164-173.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202312059

https://www.electricpower.com.cn/EN/Y2025/V58/I1/164

Figures/Tables 9

References 28

1	国家能源局. 《并网主体并网运行管理规定》《电力系统辅助服务管理办法》[EB/OL]. (2021-12-21)[2023-11-23].https://zfxxgk.nea.gov.cn/202112/21/c_1310391369.htm.
2	国家发展和改革委员会, 国家能源局. 关于鼓励可再生能源发电企业自建或购买调峰能力增加并网规模的通知(发改运行〔2021〕1138号)[EB/OL]. (2021-07-29)[2023-11-25].https://www.ndrc.gov.cn/xxgk/zcfb/tz/202108/t20210810_1293396.html.
3	鲁跃峰, 郭祚刚, 谷裕, 等. 国内外新型储能相关政策及商业模式分析[J]. 储能科学与技术, 2023, 12 (9): 3019- 3032.
	LU Yuefeng, GUO Zuogang, GU Yu, et al. Analysis of new energy storage policies and business models in China and abroad[J]. Energy Storage Science and Technology, 2023, 12 (9): 3019- 3032.
4	郭宴秀, 苏建军, 刘洋, 等. 考虑电热交互和共享储能的多综合能源系统运行优化[J]. 中国电力, 2023, 56 (4): 138- 145.
	GUO Yanxiu, SU Jianjun, LIU Yang, et al. Optimal operation of multiple integrated energy systems considering power and heat interaction and shared energy storage system[J]. Electric Power, 2023, 56 (4): 138- 145.
5	KALATHIL D, WU C Y, POOLLA K, et al. The sharing economy for the electricity storage[J]. IEEE Transactions on Smart Grid, 2019, 10 (1): 556- 567. DOI
6	曾鸣, 王雨晴, 张敏, 等. 共享经济下独立储能商业模式及其经济效益研究[J]. 价格理论与实践, 2023, (1): 179- 183.
	ZENG Ming, WANG Yuqing, ZHANG Min, et al. Research on business model and economic benefits of independent energy storage under the sharing economy[J]. Price: Theory & Practice, 2023, (1): 179- 183.
7	杨冬锋, 王轶琳, 杨士慧, 等. 基于混合博弈的多微网-共享储能双层能量交易策略[J]. 高电压技术, 2024, 50 (4): 1392- 1402.
	YANG Dongfeng, WANG Yilin, YANG Shihui, et al. Multi-microgrid and shared energy storage two-layer based on hybrid game energy trading strategy[J]. High Voltage Engineering, 2024, 50 (4): 1392- 1402.
8	李笑竹, 陈来军, 杜锡力, 等. 发电侧共享储能运营机制与交易模式研究综述[J]. 电气工程学报, 2023, 18 (1): 188- 200. DOI
	LI Xiaozhu, CHEN Laijun, DU Xili, et al. Research status and prospect of shared energy storage operation mechanism and trading mode on generation side[J]. Journal of Electrical Engineering, 2023, 18 (1): 188- 200. DOI
9	余兴兴, 李元诚, 王庆乐, 等. 基于联邦强化学习的社区共享储能日前调度[J]. 中国电机工程学报, 2024, 44 (20): 8103- 8113.
	YU Xingxing, LI Yuancheng, WANG Qingle, et al. Day-Ahead scheduling of community shared energy storage based on federated reinforcement learning[J]. Proceedings of the CSEE, 2024, 44 (20): 8103- 8113.
10	冀瑞强, 胡健, 张晓杰. 基于合作博弈的城市楼宇集群分布式储能容量共享[J]. 电力建设, 2024, 45 (2): 115- 126.
	JI Ruiqiang, HU Jian, ZHANG Xiaojie. Energy storage capacity sharing of urban building cluster based on cooperative game[J]. Electric Power Construction, 2024, 45 (2): 115- 126.
11	刘寅韬, 江全元, 耿光超, 等. 基于合作联盟的电化学储能共享模式研究[J]. 电网技术, 2024, 48 (5): 1947- 1956.
	LIU Yintao, JIANG Quanyuan, GENG Guangchao, et al. Research on the sharing model of electrochemical energy storage based on cooperative alliance[J]. Power System Technology, 2024, 48 (5): 1947- 1956.
12	李建林, 崔宜琳, 马速良, 等. 需求侧共享储能的运营模式优化及其经济效益分析研究[J]. 电网技术, 2022, 46 (12): 4954- 4969.
	LI Jianlin, CUI Yilin, MA Suliang, et al. Operation mode optimization and economic benefit analysis of demand-side shared energy storage[J]. Power System Technology, 2022, 46 (12): 4954- 4969.
13	崔宜琳. 共享储能运营模式及经济评估方法研究[D]. 北京: 北方工业大学, 2023.
	CUI Yilin. Research on the operation mode and economic evaluation method of shared energy storage[D]. Beijing: North China University of Technology, 2023.
14	齐彩娟, 车彬, 杨燕, 等. 考虑新能源消纳与储能参与调频的共享储能主从博弈鲁棒定价方法[J]. 中国电力, 2023, 56 (8): 26- 39.
	QI Caijuan, CHE Bin, YANG Yan, et al. Master-slave game-based robust pricing method of shared energy storage considering renewable energy accommodation and energy storage participating in frequency modulation[J]. Electric Power, 2023, 56 (8): 26- 39.
15	LAI S Y, QIU J, TAO Y C. Individualized pricing of energy storage sharing based on discount sensitivity[J]. IEEE Transactions on Industrial Informatics, 2022, 18 (7): 4642- 4653. DOI
16	LAI S Y, QIU J, TAO Y C. Credit-based pricing and planning strategies for hydrogen and electricity energy storage sharing[J]. IEEE Transactions on Sustainable Energy, 2022, 13 (1): 67- 80. DOI
17	胡亚春, 窦震海, 张志一, 等. 基于分布鲁棒和改进纳什谈判的多微网-共享储能运行优化策略[J]. 电力建设, 2024, 45 (7): 100- 112.
	HU Yachun, DOU Zhenhai, ZHANG Zhiyi, et al. Multi-microgrid and shared energy storage operation optimization strategy based on distributionally robust and improved Nash bargaining[J]. Electric Power Construction, 2024, 45 (7): 100- 112.
18	崔金栋, 朱增陈, 李若彤. 基于纳什均衡理论电网需求侧共享储能定价策略[J]. 综合智慧能源, 2023, 45 (11): 55- 61. DOI
	CUI Jindong, ZHU Zengchen, LI Ruotong. Pricing for shared energy storage strategy on the demand side of power grid based on Nash equilibrium theory[J]. Integrated Intelligent Energy, 2023, 45 (11): 55- 61. DOI
19	LIU J K, ZHANG N, KANG C Q, et al. Cloud energy storage for residential and small commercial consumers: a business case study[J]. Applied Energy, 2017, 188, 226- 236. DOI
20	张思远, 钟浩. 聚合用户储能的云储能容量配置与定价[J]. 南方电网技术, 2022, 16 (11): 9- 19.
	ZHANG Siyuan, ZHONG Hao. Cloud energy storage capacity configuration for aggregated user energy storage and its transaction pricing[J]. Southern Power System Technology, 2022, 16 (11): 9- 19.
21	ÖZKAN C, KARAESMEN F, ÖZEKICI S. A revenue management problem with a choice model of consumer behaviour in a random environment[J]. OR Spectrum, 2015, 37 (2): 457- 473. DOI
22	FABRA N, GARCÍA A. Dynamic price competition with switching costs[J]. Dynamic Games and Applications, 2015, 5 (4): 540- 567. DOI
23	Perakis G, Sood A. Dynamic pricing in a competitive environment[C]. High Performance Computation for Engineered Systems (HPCES), 2002.
24	马速良, 武亦文, 李建林, 等. 提升电网可靠性的储能系统最优经济性规划方法[J]. 太阳能学报, 2024, 45 (2): 251- 262.
	MA Suliang, WU Yiwen, LI Jianlin, et al. Optimal economic planning method of energy storage system to improve grid reliability[J]. Acta Energiae Solaris Sinica, 2024, 45 (2): 251- 262.
25	郑浩伟, 闫庆友, 尹哲, 等. 计及日前-实时交易和共享储能的VPP运行优化及双层效益分配[J]. 电力建设, 2022, 43 (9): 34- 46.
	ZHENG Haowei, YAN Qingyou, YIN Zhe, et al. VPP operation optimization and bilayer revenue distribution model considering the two-level market and shared energy storage[J]. Electric Power Construction, 2022, 43 (9): 34- 46.
26	庄晓丹, 刘卫东, 黄为群, 等. 浙江电力现货市场环境下储能的市场交易机制与效益分析[J]. 中国电力, 2022, 55 (6): 80- 85.
	ZHUANG Xiaodan, LIU Weidong, HUANG Weiqun, et al. Energy storage market trading mechanism and benefit analysis of Zhejiang power spot market[J]. Electric Power, 2022, 55 (6): 80- 85.
27	杨贺钧, 王井寅, 马英浩, 等. 考虑功率互济的多区域电网储能系统联合优化配置[J]. 电力建设, 2024, 45 (2): 79- 89.
	YANG Hejun, WANG Jingyin, MA Yinghao, et al. Joint planning of energy storage systems for multi-area grids considering power interconnection[J]. Electric Power Construction, 2024, 45 (2): 79- 89.
28	国家能源局山东监管办公室. 《关于做好2022年山东省电力现货市场结算试运行有关工作的通知》[EB/OL]. (2022-01-9)[2023-10-26]. http://www.rizhao.gov.cn/art/2022/10/31/art_299632_10468097.html.

配储模式	费用	优点	缺点
容量租赁	租金耗能成本	缓解资金压力	不能构成资产，影响财务状况
自建储能	投资成本运维费用	降低需量费用	初始大幅占用资金，增加经营风险

配储模式	费用	优点	缺点
容量租赁	租金耗能成本	缓解资金压力	不能构成资产，影响财务状况
自建储能	投资成本运维费用	降低需量费用	初始大幅占用资金，增加经营风险

参数		数值
储能单位造价/(元·(kW·h)^–1)		2239
共享储能电站运行年限/年		20
运维费率/%		2
充放电效率/%		90
储能年利用小时数/h		534
充电电价/(元·(kW·h)^–1)		0.101
放电电价/(元·(kW·h)^–1)		0.699
消费者价格敏感度		0.95
$ {\alpha _1} $/(kW·h)		4500
$ {\alpha _2} $/(kW·h)		8000
$ {\beta _1} $		5.997
$ {\beta _2} $		6.996
$ {\gamma _{12}} $		2.967
$ {\gamma _{21}} $		2.352
Δ		0.05
基准收益率/%		8

参数		数值
储能单位造价/(元·(kW·h)^–1)		2239
共享储能电站运行年限/年		20
运维费率/%		2
充放电效率/%		90
储能年利用小时数/h		534
充电电价/(元·(kW·h)^–1)		0.101
放电电价/(元·(kW·h)^–1)		0.699
消费者价格敏感度		0.95
$ {\alpha _1} $/(kW·h)		4500
$ {\alpha _2} $/(kW·h)		8000
$ {\beta _1} $		5.997
$ {\beta _2} $		6.996
$ {\gamma _{12}} $		2.967
$ {\gamma _{21}} $		2.352
Δ		0.05
基准收益率/%		8

经济指标	博弈均衡值	当前市场水平
容量租赁价格/(元·(kW·h)^–1)	420.75	540
容量需求占比/%	44.34	25.13
净现值/万元	554.69	58.34
内部收益率/%	11	8
投资回收期/年	8.99	12.46