考虑容量约束的储能规模化应用商业模式评价

doi:10.11930/j.issn.1004-9649.202101131

中国电力 ›› 2022, Vol. 55 ›› Issue (4): 203-213,228.DOI: 10.11930/j.issn.1004-9649.202101131

考虑容量约束的储能规模化应用商业模式评价

开赛江¹, 谭捷², 孙谊媊¹, 王衡¹, 袁铁江²

1. 国网新疆电力有限公司，新疆乌鲁木齐 830063;
2. 大连理工大学电气工程学院，辽宁大连 116024

收稿日期:2021-01-20 修回日期:2021-10-20 出版日期:2022-04-28 发布日期:2022-04-24
作者简介:开赛江（1967—），男，博士，高级工程师，从事电力系统自动化研究，E-mail：xjdl_ksj@163.com;袁铁江（1975—），男，通信作者，教授，博导，从事氢能与电力、化石能源系统集成，储能与新能源发电并网技术研究，E-mail：ytj1975@dlut.edu.cn
基金资助:
中央高校基本科研业务项目（DUT20RC(5)021）；国网新疆电力有限公司科技项目（SGTYHT/19-JS-215）

Evaluation of Business Mode for Large-Scale Energy Storage Applications Considering Capacity Constraints

KAI Saijiang¹, TAN Jie², SUN Yiqian¹, WANG Heng¹, YUAN Tiejiang²

1. State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830063, China;
2. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Received:2021-01-20 Revised:2021-10-20 Online:2022-04-28 Published:2022-04-24
Supported by:
This work is supported by the Basic Scientific Research Business Project of Central Universities (No.DUT20 RC(5)021), Science and Technology Project of State Grid Xinjiang Electric Power Co., Ltd. (No.SGTYHT/19-JS-215).

摘要/Abstract

摘要： 考虑储能应用价值的容量相关性约束，提出了一种储能规模化应用商业模式精确定量评估方法。采用双梯级函数来表征电网对储能、火电等灵活性调节资源性能和容量的要求；根据储能在源、网、荷侧产生的发电量、输配电量、电费和辅助服务收益等增益，建立“储能+”场景下新能源业主、电网运营商、用户、储能业主等相关方的收入函数；根据增益耗费的储能容量，建立相关方分摊的储能成本函数；综合考虑新能源、电网、用户或者第三方等投资主体的净收益最大，建立储能投资博弈模型。最后，根据甘肃省的实际情况，评价了不同模式场景下规模化推广储能的商业模式，并对关键参数进行了灵敏度分析，论证了不同组合运营方式在特定源荷区域的效果，验证了所提方法的可行性。

关键词: 储能, 商业模式, 新能源, 双梯级模型, 博弈论

Abstract: Considering the capacity-related constraints of the application value of energy storage, an accurate quantitative evaluation method for the business mode of large-scale energy storage applications is proposed. A double-cascade function is used to characterize the grid’s requirements for flexible adjustment of resource performance and capacity for energy storage, thermal power, etc. Then according to its revenue in power generation, transmission and distribution, electricity charge, and ancillary service income generated by energy storage at the source, grid, and load side respectively, an income function is established for stakeholders including new energy asset owners, grid operators, users, and energy storage asset owners in the “energy storage +” scenario. Based on stakeholders' share, an energy storage cost function is set up according to the energy storage capacity allocated for the corresponding revenue. Taking account of the investment entities such as new energy, power grids, users or third parties, a game model for energy storage investment is constructed with the objective as the maximization of the net income. Finally, according to the actual situation in Gansu Province, the business mode of large-scale promotion of energy storage under different mode scenarios was evaluated, and the sensitivity analysis of key parameters was conducted to demonstrate the effects of various combinations of operation modes on specific source-load regions. Therefore the feasibility of the proposed method is verified.

Key words: energy storage, business mode, renewable energy, double level model, game theory

开赛江, 谭捷, 孙谊媊, 王衡, 袁铁江. 考虑容量约束的储能规模化应用商业模式评价[J]. 中国电力, 2022, 55(4): 203-213,228.

KAI Saijiang, TAN Jie, SUN Yiqian, WANG Heng, YUAN Tiejiang. Evaluation of Business Mode for Large-Scale Energy Storage Applications Considering Capacity Constraints[J]. Electric Power, 2022, 55(4): 203-213,228.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202101131

https://www.electricpower.com.cn/CN/Y2022/V55/I4/203

参考文献

[1] 袁铁江, 胡克林, 关宇航, 等. 风电–氢储能与煤化工多能耦合系统及其氢储能子系统的 EMR 建模[J]. 高电压技术, 2015, 41(7): 2156–2164
YUAN Tiejiang, HU Kelin, GUAN Yuhang, et al. Modeling on hydrogen producing progress in EMR based wind power-hydrogen energy storage and coal chemical pluripotent coupling system[J]. High Voltage Engineering, 2015, 41(7): 2156–2164
[2] ALAPERÄ I, HONKAPURO S, TIKKA V, et al. Dual-purposing UPS batteries for energy storage functions: a business case analysis[J]. Energy Procedia, 2019, 158: 5061–5066.
[3] 薛金花, 叶季蕾, 陶琼, 等. 基于多场景的商业园区源-储-荷系统运营模式及投资决策研究[J]. 电力自动化设备, 2019, 39(2): 78–83,92
XUE Jinhua, YE Jilei, TAO Qiong, et al. Multi-scenarios based operation mode and investment decision of source-storage-load system in business park[J]. Electric Power Automation Equipment, 2019, 39(2): 78–83,92
[4] 元博, 张运洲, 鲁刚, 等. 电力系统中储能发展前景及应用关键问题研究[J]. 中国电力, 2019, 52(3): 1–8
YUAN Bo, ZHANG Yunzhou, LU Gang, et al. Research on key issues of energy storage development and application in power systems[J]. Electric Power, 2019, 52(3): 1–8
[5] 康重庆, 姚良忠. 高比例可再生能源电力系统的关键科学问题与理论研究框架[J]. 电力系统自动化, 2017, 41(9): 2–11
KANG Chongqing, YAO Liangzhong. Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2017, 41(9): 2–11
[6] 白建华, 辛颂旭, 刘俊, 等. 中国实现高比例可再生能源发展路径研究[J]. 中国电机工程学报, 2015, 35(14): 3699–3705
BAI Jianhua, XIN Songxu, LIU Jun, et al. Roadmap of realizing the high penetration renewable energy in China[J]. Proceedings of the CSEE, 2015, 35(14): 3699–3705
[7] HAMELINK M, OPDENAKKER R. How business model innovation affects firm performance in the energy storage market[J]. Renewable Energy, 2019, 131: 120–127.
[8] TSCHIGGERL K, SLEDZ C, TOPIC M. Considering environmental impacts of energy storage technologies: a life cycle assessment of power-to-gas business models[J]. Energy, 2018, 160: 1091–1100.
[9] LI X, CHALVATZIS K J, STEPHANIDES P, et al. Bringing innovation to market: business models for battery storage[J]. Energy Procedia, 2019, 159: 327–332.
[10] 修晓青, 李建林, 李文启, 等. 储能系统商业模式及其优化规划方法[J]. 电力建设, 2019, 40(6): 41–48
XIU Xiaoqing, LI Jianlin, LI Wenqi, et al. Research on business model and optimization planning method of energy storage station[J]. Electric Power Construction, 2019, 40(6): 41–48
[11] 胡静, 李琼慧, 黄碧斌, 等. 适应中国应用场景需求和政策环境的电网侧储能商业模式研究[J]. 全球能源互联网, 2019, 2(4): 367–375
HU Jing, LI Qionghui, HUANG Bibin, et al. Business model research of energy storage on grid side adapted to application scenarios and policy environment in China[J]. Journal of Global Energy Interconnection, 2019, 2(4): 367–375
[12] 曾辉, 孙峰, 邵宝珠, 等. 澳大利亚100 MW储能运行分析及对中国的启示[J]. 电力系统自动化, 2019, 43(8): 86–92
ZENG Hui, SUN Feng, SHAO Baozhu, et al. Analysis of Australian 100 MW energy storage operation and its enlightenment to China[J]. Automation of Electric Power Systems, 2019, 43(8): 86–92
[13] HARTMANN B, VOKONY I, SORÉS P, et al. Service aspect assessment of energy storage under the ownership of distribution system operators[J]. Journal of Energy Storage, 2019, 25: 100861.
[14] HARTMANN B, DIVÉNYI D, VOKONY I. Evaluation of business possibilities of energy storage at commercial and industrial consumers–a case study[J]. Applied energy, 2018, 222: 59–66.
[15] LOMBARDI P, SCHWABE F. Sharing economy as a new business model for energy storage systems[J]. Applied energy, 2017, 188: 485–496.
[16] LIU J, ZHANG N, KANG C, et al. Cloud energy storage for residential and small commercial consumers: a business case study[J]. Applied Energy, 2017, 188: 226–236.
[17] 王宣元, 刘敦楠, 刘蓁, 等. 泛在电力物联网下虚拟电厂运营机制及关键技术[J]. 电网技术, 2019, 43(9): 3175–3183
WANG Xuanyuan, LIU Dunnan, LIU Zhen, et al. Operation mechanism and key technologies of virtual power plant under ubiquitous internet of things[J]. Power System Technology, 2019, 43(9): 3175–3183
[18] 丁玉龙, 来小康, 陈海生. 储能技术及应用[M]. 北京: 化学工业出版社, 2018.
[19] 方彤, 蒋东方, 杨洋, 等. 基于NSGA-II和熵权法的氢综合能源系统商业运营模式[J]. 中国电力, 2022, 55(1): 110–118
FANG Tong, JIANG Dongfang, YANG Yang, et al. Research on business operation mode of hydrogen integrated energy system based on NSGA-II and entropy weight method[J]. Electric Power, 2022, 55(1): 110–118
[20] 陈晨, 李端超, 王海伟, 等. 考虑不确定性的综合能源系统日前经济调度[J]. 电力科学与技术学报, 2021, 36(2): 24–30
CHEN Chen, LI Duanchao, WANG Haiwei, et al. Study on day-ahead economic dispatch of integrated energy system considering uncertainty[J]. Journal of Electric Power Science and Technology, 2021, 36(2): 24–30
[21] 胡伟, 杨梓俊, 王瑾然, 等. 园区综合能源系统日前多目标优化调度[J]. 电力科学与技术学报, 2021, 36(1): 13–20
HU Wei, YANG Zijun, WANG Jinran, et al. Multi-objective optimal scheduling of integrated energy system in the industry park[J]. Journal of Electric Power Science and Technology, 2021, 36(1): 13–20
[22] 蒋东方, 贾跃龙, 鲁强, 等. 氢能在综合能源系统中的应用前景[J]. 中国电力, 2020, 53(5): 135–142
JIANG Dongfang, JIA Yuelong, LU Qiang, et al. Application prospect of hydrogen energy in integrated energy systems[J]. Electric Power, 2020, 53(5): 135–142
[23] 黄帅飞, 丁晓群, 高乾恒, 等. 光-氢-储系统接入配电网的有功-无功协调优化[J]. 南方电网技术, 2018, 12(7): 44–51
HUANG Shuaifei, DING Xiaoqun, GAO Qianheng, et al. Active-reactive power coordination optimization in distribution network interconnected with photovoltaic-hydrogen-energy storage systems[J]. Southern Power System Technology, 2018, 12(7): 44–51
[24] 杨祺铭, 季陈林, 刘友波, 等. 多条公交线路的光储充电站日内滚动优化策略[J]. 智慧电力, 2020, 48(8): 44–50,90
YANG Qiming, JI Chenlin, LIU Youbo, et al. Day-rolling optimization strategy for photovoltaic-energy storage charging station with multiple electric bus lines[J]. Smart Power, 2020, 48(8): 44–50,90
[25] 丁明, 施建雄, 韩平平, 等. 光储系统参与电网调频及调峰的综合控制策略[J]. 中国电力, 2021, 54(1): 116–123,174
DING Ming, SHI Jianxiong, HAN Pingping, et al. An integrated control strategy for photovoltaic-energy storage system participating in frequency regulation and peak shaving of power grid[J]. Electric Power, 2021, 54(1): 116–123,174

考虑容量约束的储能规模化应用商业模式评价

Evaluation of Business Mode for Large-Scale Energy Storage Applications Considering Capacity Constraints

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	张磊, 马晓伟, 王满亮, 陈力, 高丙团. 互联新能源电力系统区内AGC机组分布式协同控制策略[J]. 中国电力, 2025, 58(3): 8-19.
[2]	李湃, 卢慧, 李驰, 杜洪博. 多能互补发电系统电/热储能容量双层优化配置方法[J]. 中国电力, 2025, 58(3): 55-64.
[3]	汪林光, 李旭涛, 任勇, 谢小荣. 基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法[J]. 中国电力, 2025, 58(3): 65-72.
[4]	刘雨姗, 陈俊儒, 常喜强, 刘牧阳. 构网型储能变流器并网性能的多层级评价指标体系及应用[J]. 中国电力, 2025, 58(3): 193-203.
[5]	徐祥海, 商佳宜, 赵天煜, 龚莺飞, 何卫斌, 汤亚宸. 考虑碳排放限制与市场参与的储能利润优化[J]. 中国电力, 2025, 58(3): 204-212.
[6]	李金, 刘科孟, 许丹莉, 高为举, 黄磊, 吴浩星, 华昊辰. 基于共享储能站的多能互补微能源网外衍响应双层优化[J]. 中国电力, 2025, 58(2): 43-56.
[7]	赖业宁, 孙仲卿, 陆志平, 刘沁. 考虑储能资源聚合参与的电网优化运行与韧性提升策略[J]. 中国电力, 2025, 58(2): 57-65.
[8]	闫志彬, 李立, 阳鹏, 宋蕙慧, 车彬, 靳盘龙. 考虑构网型储能支撑能力的微电网优化调度策略[J]. 中国电力, 2025, 58(2): 103-110.
[9]	邹小燕, 张瑞宏. 考虑政府干预的可再生能源与储能企业合作模式演化博弈研究[J]. 中国电力, 2025, 58(1): 153-163.
[10]	王雨晴, 张敏, 王嘉兴, 李泊皓, 杨天阳, 曾鸣. 基于超模博弈的共享储能容量租赁价格决策[J]. 中国电力, 2025, 58(1): 164-173.
[11]	张旭, 王淳, 胡奕涛, 陈锐凯, 刘昆, 郭志东, 钟俊勋. 面向短时过载及长期轻载的配变侧储能配置与调度双层优化[J]. 中国电力, 2025, 58(1): 174-184.
[12]	姜文瑾, 刘巧妹, 杨晓东, 阙定飞, 沈豫, 黄夏楠, 赖振华. 计及气固两相储氢特性的海上风电-多元储能系统优化配置[J]. 中国电力, 2024, 57(9): 103-112.
[13]	孙东磊, 王宪, 孙毅, 孟祥飞, 张涌琛, 张玉敏. 基于多面体不确定集合的电力系统灵活性量化评估方法[J]. 中国电力, 2024, 57(9): 146-155.
[14]	高明非, 韩中合, 赵斌, 李鹏, 吴迪. 区域综合能源系统多类型储能协同优化与运行策略[J]. 中国电力, 2024, 57(9): 205-216.
[15]	么钟然, 孙丽颖. 考虑线路阻抗的分布式储能SOC均衡控制策略[J]. 中国电力, 2024, 57(9): 238-246.

模态框（Modal）标题

考虑容量约束的储能规模化应用商业模式评价

Evaluation of Business Mode for Large-Scale Energy Storage Applications Considering Capacity Constraints

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics