Application Value of Energy Storage Systems in the Power Grid and Its Commercial Modes

doi:10.12096/j.2096-4528.pgt.2018.013

Abstract

Abstract:

The increasing penetration rate of wind power and photovoltaic challenges the stable operation of the grid. Energy storage technology can effectively control the fluctuation of renewable energy generation, enhance the controllability of renewable energy power generation and improve the accessing capability of renewable energy sources connected to the grid. Therefore, the related research and technology of energy storage systems in the grid are getting more and more attention. In this paper, taking energy storage systems to access the grid as a starting point, the application value of energy storage systems in four scenarios such as frequency regulation, peak regulation, backup capacity, delay transmission and distribution expansion were studied and summarized. The development prospects of the commercial modes related to energy storage systems and the key scientific issues to be studied in the future were discussed.

Key words: energy storage system, frequency regulation, peak regulation, backup capacity, application value, commercial modes

Xiaojuan HAN,Yaoyao AI,Xiangjun LI. Application Value of Energy Storage Systems in the Power Grid and Its Commercial Modes[J]. Power Generation Technology, 2018, 39(1): 77-83.

References

1	严干贵, 王昱博, 钟诚, 等. 风储联合系统调频控制策略研究[J]. 电力建设, 2016, 37 (12): 55- 60.
2	郑重, 杨振勇, 李卫华. 风电与火电机组的一次调频技术分析及比较[J]. 电力自动化设备, 2017, 37 (12): 92- 100.
3	王龙, 刘洪, 王浩鸣. 光蓄互补系统接入对配电网供电可靠性的影响[J]. 发电与空调, 2012, 33 (3): 14- 18.
4	黎永华.结合储能的并网光伏发电对电网的调峰作用分析[D].北京:华北电力大学, 2012.
5	李岱昕. 盘点2016上半年中国储能产业发展[J]. 高科技与产业化, 2016, (9): 24- 27.
6	周宇昊, 张海珍, 宋胜男. 多能互补分布式能源试验平台系统关键技术研究[J]. 发电与空调, 2017, 38 (6): 5- 9, 37.
7	梁甜甜, 高赐威, 王蓓蓓. 智能电网下电力需求侧管理应用[J]. 电力自动化设备, 2012, 32 (5): 81- 85.
8	王天旺, 高赟, 姜孟, 等. 虚拟电厂下计及分布式风电与储能系统的电力系统优化调度[J]. 电力建设, 2016, 37 (11): 108- 114.
9	苏新霞, 周璇卿. 储能应用于需求侧响应的商业模式[J]. 科技与创新, 2017, 19 (5): 5- 6.
10	刘坚. 储能技术经济性现状及商业化运行障碍[J]. 中国能源, 2017, 39 (7): 36- 40.
11	李相俊, 王上行, 惠东. 电池储能系统运行控制与应用方法综述及展望[J]. 电网技术, 2017, 41 (10): 3315- 3325.
12	Wu L, Gao W, Cui Z, et al. A novel frequency regulation strategy with the application of energy storage system for large scale wind power integration[C]. Proceedings of Green Technologies Conference (GreenTech), 2015 Seventh Annual IEEE. IEEE: New Orleans, United states, 2015.
13	孙冰莹, 杨水丽, 刘宗歧, 等. 国内外兆瓦级储能调频示范应用现状分析与启示[J]. 电力系统自动化, 2017, 41 (11): 8- 16, 38.
14	李欣然, 邓涛, 黄际元, 等. 储能电池参与电网快速调频的自适应控制策略[J]. 高电压技术, 2017, 43 (7): 2362- 2369.
15	雷杨, 马宁宁, 康积涛, 等. 基于AHP/GA的储能装置参与电网调频控制器参数优化[J]. 电力自动化设备, 2017, 37 (8): 227- 233.
16	陈丽娟, 姜宇轩, 汪春. 改善电厂调频性能的储能策略研究和容量配置[J]. 电力自动化设备, 2017, 37 (8): 52- 59.
17	Pradeepkumar M, Tamil pandian A. Frequency regulation of grid by wind turbine using energy storage system and SOC feedback control[C]. Proceedings of 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICⅡECS). IEEE: Coimbatore, India, 2015.
18	Huang J , Li Xinran , Cao Y , et al. Battery energy storage power supply simulation model for power grid frequency regulation[J]. Automation of Electric Power Systems, 2015, 39 (18): 20- 24, 74.
19	李欣然, 黄际元, 李培强, 等. 考虑电池储能仿真模型的一次调频特性评估[J]. 高电压技术, 2015, 41 (7): 2135- 2141.
20	Jin T H , Mo C , Shin K Y , et al. Real-time dynamic simulation of korean power grid for frequency regulation control by MW battery energy storage system[J]. Journal of Sustainable Development of Energy, 2016, 4 (4): 392- 407.
21	黄际元, 李欣然, 常敏, 等. 考虑储能电池参与一次调频技术经济模型的容量配置方法[J]. 电工技术学报, 2017, 32 (21): 112- 121.
22	黄际元, 李欣然, 曹一家, 等. 考虑储能参与快速调频动作时机与深度的容量配置方法[J]. 电工技术学报, 2015, 30 (12): 454- 464.
23	Stroe D I, Knap V, Swierczynski M J, et al. Suggested operation grid-connected lithium-ion battery energy storage system for primary frequency regulation: lifetime perspective[C]. Proceedings of Energy Conversion Congress and Exposition (ECCE). IEEE: Montreal, Canada, 2015: 1105-1111.
24	Huang J Y , Li X R , Zhou T T , et al. Optimal capacity allocation for supercapacitor energy storage system in power grid primary frequency regulation[J]. Advanced Materials Research, 2015, 1662-8985 (1070-1072): 407- 417.
25	李允超, 宋华伟, 马洪涛, 等. 储能技术发展现状研究[J]. 发电与空调, 2017, 38 (4): 56- 61.
26	Choi J W , Heo S Y , Kim M K . Hybrid operation strategy of wind energy storage system for power grid frequency regulation[J]. Iet Generation Transmission & Distribution, 2016, 10 (3): 736- 749.
27	宋永, 黄继军, 黄际元, 等. 储能电池参与电网快速调频的场景分析[J]. 电气应用, 2017, 36 (11): 52- 56.
28	Sharma V , Gidwani L . Frequency regulation of electric grid with wind power using energy storage system[J]. International Journal of Grid & Distributed Computing, 2015, 8 (3): 267- 274.
29	胡泽春, 夏睿, 吴林林, 等. 考虑储能参与调频的风储联合运行优化策略[J]. 电网技术, 2016, 40 (8): 2251- 2257.
30	孙冰莹,刘宗歧,杨水丽,等.补偿度实时优化的储能-火电联合AGC调频策略[J/OL].电网技术: 1-10[2017-12-28]. https://doi.org/10.13335/j.1000-3673.pst.2017.1466.
31	徐国栋, 程浩忠, 马紫峰, 等. 用于缓解电网调峰压力的储能系统规划方法综述[J]. 电力自动化设备, 2017, 37 (8): 3- 11.
32	黎静华, 汪赛. 兼顾技术性和经济性的储能辅助调峰组合方案优化[J]. 电力系统自动化, 2017, 41 (9): 44- 50, 150.
33	Li Junhui , Zhu Xingxu , Yan Gangni , et al. Design of control strategies of energy storage for peak shaving to restrain windpower's influence on power grid[J]. Electric Power, 2014, 47 (7): 91- 95.
34	尚瑨, 邰能灵, 刘琦, 等. 采用区间控制的蓄电池储能电站调峰运行控制策略[J]. 电工技术学报, 2015, 30 (16): 221- 229.
35	朴政国, 张明. 微型光伏储能系统的并网调峰控制研究[J]. 电气工程学报, 2017, 12 (3): 41- 47.
36	Mehr TH, Masoum MAS, Jabalameli N. Grid-connected Lithium-ion battery energy storage system for load leveling and peak shaving[C]. Proceedings of Power Engineering Conference. IEEE: Hobart, TAS, Australia, 2014.
37	张秀彬, 张颖璐. 超导磁储能与电网调峰[J]. 上海交通大学学报, 1996, 30 (12): 97- 102.
38	Zhao P , Wang J , Dai Y . Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level[J]. Renewable Energy, 2015, 75 (C): 541- 549.
39	严干贵, 冯晓东, 李军徽, 等. 用于松弛调峰瓶颈的储能系统容量配置方法[J]. 中国电机工程学报, 2012, 32 (28): 27- 35, 22.
40	邓拓宇, 田亮, 刘吉臻. 利用热网储能提高供热机组调频调峰能力的控制方法[J]. 中国电机工程学报, 2015, 35 (14): 3626- 3633.
41	李欣然, 黄际元, 陈远扬, 等. 基于灵敏度分析的储能电池参与二次调频控制策略[J]. 电工技术学报, 2017, 32 (12): 224- 233.
42	Lucas A , Chondrogiannis S . Smart grid energy storage controller for frequency regulation and peak shaving, using a vanadium redox flow battery[J]. International Journal of Electrical Power & Energy Systems, 2016, (80): 26- 36.
43	赵晶晶, 徐传琳, 吕雪, 等. 微电网一次调频备用容量与储能优化配置方法[J]. 中国电机工程学报, 2017, 37 (15): 4324- 4332, 4572.
44	李姚旺,苗世洪,罗星,等.含压缩空气储能电力系统日前-日内协调调度策略[J/OL].中国电机工程学报: 1-12[2017-12-28]. https://doi.org/10.13334/j.0258-8013.pcsee.170777.
45	董文杰. 面向可再生能源并网的发输储电力系统协调扩容规划模型[J]. 陕西电力, 2014, 42 (9): 24- 27.
46	Tomislav Dragi?evi?, Sun B, Schaltz E, et al. Flexible local load controller for fast electric vehicle charging station supplemented with flywheel energy storage system[C]. Proceedings of Electric Vehicle Conference(IEVC), 2014 IEEE International. IEEE: Florence, Italy, 2014.
47	Fong G, Moreira R, Strbac G. Economic analysis of energy storage business models[C]. Proceedings of Conference on PowerTech. IEEE: Manchester, United kingdom, 2017.
48	Moreira, Marques R M. Business models for energy storage systems[D]. London: Imperial College London, 2015.
49	赵波, 王成山, 张雪松. 海岛独立型微电网储能类型选择与商业运营模式探讨[J]. 电力系统自动化, 2013, 37 (4): 21- 27.
50	李蕊. 基于不同商业运营模式的分布式电源/微电网综合效益评价方法[J]. 电网技术, 2017, 41 (6): 1748- 1758.
51	Martinsen T. A business model for an EV charging station with battery energy storage[C]. Proceedings of Cired Workshop 2016. IEEE: Helsinki, Finland, 2017.
52	Kang H J, Lee J T, Kim C S. A study on the technical trends of energy new industry and business model in electric power market[J]. 2016, 11(8): 773-782.
53	Galassi V , Madlener R . Identifying business models for photovoltaic systems with storage in the italian market:a discrete choice experiment[J]. Fcn Working Papers, 2015, (19): 1- 34.
54	Stucchi K L A, Pollitt M G. Emerging business models for energy storage: applications to the power, transport and heat sectors[C]. Proceedings of Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016 IEEE 8th International, IEEE: Hefei, China, 2016.
55	Lombardi P , Schwabe F . Sharing economy as a new business model for energy storage systems[J]. Applied Energy, 2017, (188): 485- 496.

[1]	Ping TANG. Experiment and Dynamic Characteristics Simulation of Primary Frequency Regulation of a 660 MW Nuclear Power Unit [J]. Power Generation Technology, 2023, 44(6): 833-841.
[2]	Xingyuan XU, Haoyong CHEN, Yuxiang HUANG, Xiaobin WU, Yushen WANG, Junhao LIAN, Jianbin ZHANG. Challenges, Strategies and Key Technologies for Virtual Power Plants in Market Trading [J]. Power Generation Technology, 2023, 44(6): 745-757.
[3]	Zhonghao DONG, Xiaofeng LU, Lichao SHI, Zengzeng YANG, Fansheng KONG, Peng WANG, Guoqiang LIN, Peng ZHAO. Influence of Thermal Inertia of Refractory Material in Furnace on the Peak Regulating Rate of Circulating Fluidized Bed Boiler [J]. Power Generation Technology, 2023, 44(4): 514-524.
[4]	Qing GU, Rui LI, Xu CAI, Baochang XIE. Topology and Control Method of Battery Energy Storage System for Application at the Scale of Hundreds of Megawatts [J]. Power Generation Technology, 2022, 43(5): 698-706.
[5]	Xiufeng YAN, Ke ZONG, Xiunian HE, Lin GAO, Bin QIN, Mingkun WANG, Wentao HUI. Research on Steam Temperature Control Strategy in Peak Regulation of 1 000 MW Coal Power Unit [J]. Power Generation Technology, 2022, 43(3): 518-522.
[6]	Xiaoguang CHEN, Xiuyuan YANG, Siqi BU, Zhiqiang XU. Capacity Allocation of Wind Farm Energy Storage System Considering Economic Function [J]. Power Generation Technology, 2022, 43(2): 341-352.
[7]	Rui MA, Xiangjun LI, Wenqi LI, Dongxue GAO, Jingchao ZHANG, Ningxi SONG. Cooperative Scheduling Strategy of Energy Storage Systems for Regional Grid Supplied by Renewable Energy [J]. Power Generation Technology, 2021, 42(1): 31-39.
[8]	Zhanye YANG,Jianan WANG,Hurun ZHANG. Active Regulation Strategy of "Internet +" Smart Energy Storage System [J]. Power Generation Technology, 2020, 41(3): 281-287.
[9]	Hao CHEN,Weihua ZHANG,Lei SHI,Xiaojiang LI,Kairang WANG,Yu GONG. Research on the Development and Application of the Photovoltaic and Energy Storage System in the User-side at Home and Abroad [J]. Power Generation Technology, 2020, 41(2): 110-117.
[10]	Sheng KUANG,Beibei WANG. Optimization Strategy of Wind Storage Joint Operation Considering Energy Storage Life and Participating in Frequency Modulation Service [J]. Power Generation Technology, 2020, 41(1): 73-78.
[11]	Xiankui WEN,Shihai ZHAGN,Tongtian DENG,Pan LI,Wen CHEN. A Summary of Large Capacity Power Energy Storage Peak Regulation and Frequency Adjustment Performance [J]. Power Generation Technology, 2018, 39(6): 487-492.
[12]	Jiang TANG,Xuedong WANG,Yuzhu ZHAO,Chuanwu YAN. Analysis of Performance Indicators and Peak Regulation Capacity of Condensing Unit After High Back Pressure Retrofit for Heating [J]. Power Generation Technology, 2018, 39(5): 455-461.
[13]	Shuming LI,Qingsong LIU,Xiaodong ZHU,Shibin PING,Guisheng BAI. Flexibility Transformation Analysis of 350 MW Supercritical Cogeneration Unit [J]. Power Generation Technology, 2018, 39(5): 449-454.
[14]	Weidong LI. On Frequency Response Control of Future Grid [J]. Power Generation Technology, 2018, 39(1): 84-89.
[15]	Xinyi DENG,Xin AI. Comprehensive Benefit Assessment and Incentive Mechanism of Distributed Photovoltaic Energy Storage System [J]. Power Generation Technology, 2018, 39(1): 30-36.