Reviews of Energy Storage Participating in Auxiliary Services Under Ubiquitous Internet of Things

Hui WANG; Dengxiang LIANG; Xiaojuan HAN

doi:10.12096/j.2096-4528.pgt.19184

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Reviews of Energy Storage Participating in Auxiliary Services Under Ubiquitous Internet of Things

Energy Internet | 更新时间：2025-07-04

- Reviews of Energy Storage Participating in Auxiliary Services Under Ubiquitous Internet of Things
- Power Generation Technology Vol. 42, Issue 2, Pages: 171-179(2021)
- 作者机构：
  
  华北电力大学控制与计算机工程学院, 北京市昌平区 102206
- 作者简介：
- 基金信息：
  
  National Nature Science Foundation of China(51577065)
- DOI：10.12096/j.2096-4528.pgt.19184
  CLC： TK02
- Received：10 February 2020，
  
  Published：30 April 2021
- 稿件说明：
移动端阅览
Hui WANG, Dengxiang LIANG, Xiaojuan HAN. Reviews of Energy Storage Participating in Auxiliary Services Under Ubiquitous Internet of Things[J]. Power Generation Technology, 2021, 42(2): 171-179.
DOI：

Hui WANG, Dengxiang LIANG, Xiaojuan HAN. Reviews of Energy Storage Participating in Auxiliary Services Under Ubiquitous Internet of Things[J]. Power Generation Technology, 2021, 42(2): 171-179. DOI： 10.12096/j.2096-4528.pgt.19184.

摘要

电力体制的逐步深化改革和电力市场化交易机制的逐步完善，为储能发展提供了新的契机，储能将呈现出多元化发展的良好态势。同时辅助服务补偿机制的建立，加速了储能系统在辅助服务领域的渗透，辅助服务市场也将成为未来储能的主要应用方向之一。针对储能在辅助服务中的参与机制和研究现状进行调研归纳，讨论了储能在电力系统辅助服务中的发展前景和研究方向。结合泛在电力物联网的建设，对储能在我国参与辅助服务的商业模式进行了探讨。

Abstract

With the gradual deepening reform of the power system and the gradual improvement of the power market trading mechanism

it provides a new opportunity for the development of energy storage technology

and the energy storage technology presents a good trend of diversified development. The establishment of an auxiliary service compensation mechanism has accelerated the penetration of energy storage systems in the auxiliary service field. The auxiliary service market has become one of the main application directions of energy storage technology. The participation mechanism was investigated

the status of energy storage technology in auxiliary services were researched

and the application scenarios and main research directions of energy storage technology in power system auxiliary services were summarized. At the same time

combined with the construction of the ubiquitous power internet of things

the business model of energy storage participating in auxiliary services in China was discussed.

关键词

Keywords

references

杨东升, 王道浩, 周博文, 等. 泛在电力物联网的关键技术与应用前景[J]. 发电技术, 2019, 40(2): 107-114.

YANG D S, WANG D H, ZHOU B W, et al. Key technologies and application prospects of ubiquitous power internet of things[J]. Power Generation Technology, 2019, 40(2): 107-114.

肖白, 周文凯, 姜卓, 等. 泛在电力物联网研究现状分析[J]. 发电技术, 2020, 41(1): 88-93.

XIAO B, ZHOU W K, JIANG Z, et al. Analysis of research status for ubiquitous power internet of things[J]. Power Generation Technology, 2020, 41(1): 88-93.

曾鸣, 王雨晴, 李明珠, 等. 泛在电力物联网体系架构及实施方案初探[J]. 智慧电力, 2019, 47(4): 1-7.

ZENG M, WANG Y Q, LI M Z, et al. Preliminary study on the architecture and implementation plan of widespread power internet of things[J]. Smart Power, 2019, 47(4): 1-7.

杨月, 钟良, 王为人, 等. 泛在电力物联网建设下消纳弃风弃光资源的储能系统综述[J]. 中外能源, 2019, 24(6): 92-99.

YANG Y, ZHONG L, WANG W R, et al. Overview on energy storage system for accommodation of wind and photovoltaic power curtailment under the construction of ubiquitous power internet of things[J]. Sino-Global Energy, 2019, 24(6): 92-99.

王皓, 张舒淳, 李维展, 等. 储能参与电力系统应用研究综述[J]. 电工技术, 2020(3): 21-24.

WANG H, ZHANG S C, LI W Z, et al. Survey of energy storage used in power system application[J]. Electric Engineering, 2020(3): 21-24.

李建林, 袁晓冬, 郁正纲, 等. 利用储能系统提升电网电能质量研究综述[J]. 电力系统自动化, 2019, 43(8): 15-25.

LI J L, YUAN X D, YU Z G, et al. Comments on power quality enhancement research for power grid by energy storage system[J]. Automation of Electric Power Systems, 2019, 43(8): 15-25.

孙玉树, 杨敏, 师长立, 等. 储能的应用现状和发展趋势分析[J]. 高电压技术, 2020, 46(1): 80-89.

SUN Y S, YANG M, SHI C L, et al. Analysis of application status and development trend of energy storage[J]. High Voltage Engineering, 2020, 46(1): 80-89.

焦东东, 陈洁, 付菊霞, 等. 平抑风电功率波动的储能容量配置[J]. 电网与清洁能源, 2020, 36(3): 66-73.

JIAO D D, CHEN J, FU J X, et al. Configuration of energy storage capacity for suppressing fluctuation of wind power[J]. Power System and Clean Energy, 2020, 36(3): 66-73.

禹海峰, 潘力强, 吴亚茹, 等. 储能提升含高比例风电电力系统可靠性分析[J]. 电网与清洁能源, 2020, 36(6): 92-98.

YU H F, PAN L Q, WU Y R, et al. Analysis of energy storage improving the reliability of power system with high proportional wind power[J]. Power System and Clean Energy, 2020, 36(6): 92-98.

罗庆, 张新燕, 罗晨, 等. 新能源发电中储能综合利用的优化评估[J]. 智慧电力, 2020, 48(9): 51-55.

LUO Q, ZHANG X Y, LUO C, et al. Optimal evaluation of energy storage comprehensive utilization in new energy generation[J]. Smart Power, 2020, 48(9): 51-55.

徐升. 储能在电网中的应用价值及其商业模式[J]. 电子技术与软件工程, 2019(19): 227-228.

XU S. Application value of energy storage systems in the power grid and its commercial modes[J]. Electronic Technology&Software Engineering, 2019(19): 227-228.

刘冰, 张静, 李岱昕, 等. 储能在发电侧调峰调频服务中的应用现状和前景分析[J]. 储能科学与技术, 2016, 5(6): 909-914.

LIU B, ZHANG J, LI D X, et al. Energy storage for peak shaving and frequency regulation in the front of meter: progress and prospect[J]. Energy Storage Science and Technology, 2016, 5(6): 909-914.

马守达, 杨锦成, 崔承刚, 等. 能源互联网储能技术应用研究[J]. 发电技术, 2018, 39(5): 28-34.

MA S D, YANG J C, CUI Z G, et al. Research on application of energy storage technology in energy internet[J]. Power Generation Technology, 2018, 39(5): 28-34.

孙威, 李建林, 王明旺, 等. 能源互联网储能系统商业运行模式及典型案例分析[M]. 北京: 中国电力出版社, 2017.

SUN W, LI J L, WANG M W, et al. Business operation mode and typical case analysis of energy internet energy storage system[J]. Beijing: China Electric Power Press, 2017.

李军徽, 张嘉辉, 胡达珵, 等. 多属性多目标储能系统工况适用性对比分析方法[J]. 电力建设, 2018, 39(4): 2-8.

LI J H, ZHANG J H, HU D C, et al. Comparison and analysis of multi-attribute and multi-objective energy storage system working conditions suitability[J]. Electric Power Construction, 2018, 39(4): 2-8.

李建林, 马会萌, 田春光, 等. 基于区间层次分析法的电化学储能选型方案[J]. 高电压技术, 2016, 42(9): 2707-2714.

LI J L, MA H M, TIAN C G, et al. Selection scheme of electrochemical energy storage based on interval analytic hierarchy process method[J]. High Voltage Engineering, 2016, 42(9): 2707-2714.

中关村储能产业技术联盟. 储能产业研究白皮书2019(摘要版)[M]. 北京: 中国石化出版社, 2019.

Zhongguancun Energy Storage Industry Technology Alliance. White paper on energy storage industry research 2019(abstract version)[M]. Beijing: China Petrochemical Press, 2019.

李建林, 郭威, 牛萌, 等. 我国电力系统辅助服务市场政策分析与思考[J]. 电气应用, 2019, 38(10): 22-27.

LI J L, GUO W, NIU M, et al. Analysis and thinking of China's power system auxiliary service market policy[J]. Electrotechnical Application, 2019, 38(10): 22-27.

高海翔, 董超, 孟子杰, 等. 机组–储能联合系统参与调频辅助服务市场的关键技术研究与实践[J]. 广东电力, 2020, 33(6): 46-52.

GAO H X, DONG C, MENG Z J, et al. Key technologies and practice of generator-storage combination system participating in frequency regulation ancillary service markets[J]. Guangdong Electric Power, 2020, 33(6): 46-52.

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.

XU G D, CHENG H Z, MA Z F, et al. Overview of ESS planning methods for alleviating peak-shaving pressure of grid[J]. Electric Power Automation Equipment, 2017, 37(8): 3-11.

HAN X, JI T, ZHAO Z, et al. Economic evaluation of batteries planning in energy storage power stations for load shifting[J]. Renewable Energy, 2015, 78: 643-647.

陈旭海, 陈佳桥, 叶春, 等. 基于ANN锂电池混合储能系统容量优化配置[J]. 供用电, 2019, 36(10): 80-86.

CHEN X H, CHEN J Q, YE C, et al. Capacity optimization of lithium battery hybrid energy storage system based on ANN[J]. Distribution&Utilization, 2019, 36(10): 80-86.

娄素华, 易林, 吴耀武, 等. 基于可变寿命模型的电池储能容量优化配置[J]. 电工技术学报, 2015, 30(4): 265-271.

LOU S H, YI L, WU Y W, et al. Optimizing deployment of battery energy storage based on lifetime predication[J]. Transactions of China Electrotechnical Society, 2015, 30(4): 265-271.

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.

LI J H, WANG S. Optimal combined peak-shaving scheme using energy storage for auxiliary considering both technology and economy[J]. Automation of Electric Power Systems, 2017, 41(9): 44-50.

谢东亮, 薛峰, 宋晓芳. 直流互联下含储电力系统调峰的优化及仿真分析[J]. 电力系统自动化, 2018, 42(5): 72-79.

XIE D L, XUE F, SONG X F. Optimization and simulation analysis of peak shaving for DC interconnected power system with energy storage[J]. Automation of Electric Power Systems, 2018, 42(5): 72-79.

李军徽, 朱星旭, 严干贵, 等. 抑制风电并网影响的储能系统调峰控制策略设计[J]. 中国电力, 2014, 47(7): 91-95.

LI J H, ZHU X X, YAN G G, et al. Design of control strategies of energy storage for peak shaving to restrain wind power's influence on power grid[J]. Electric Power, 2014, 47(7): 91-95.

娄素华, 杨天蒙, 吴耀武, 等. 含高渗透率风电的电力系统复合储能协调优化运行[J]. 电力系统自动化, 2016, 40(7): 30-35.

LOU S H, YANG T M, WU Y W, et al. Coordinated optimal operation of hybrid energy storage in power system accommodated high penetration of wind power[J]. Automation of Electric Power Systems, 2016, 40(7): 30-35.

韩晓娟, 艾瑶瑶, 李相俊. 储能在电网中的应用价值及其商业模式[J]. 发电技术, 2018, 39(1): 77-83.

HAN X J, AI Y Y, LI X J. Application value of energy storage systems in the power grid and its commercial modes[J]. Power Generation Technology, 2018, 39(1): 77-83.

杨水丽, 李建林, 李蓓, 等. 电池储能系统参与电网调频的优势分析[J]. 电网与清洁能源, 2013, 29(2): 43-47.

YANG S L, LI J L, LI B, et al. Advantages of battery energy storage system for frequency regulation[J]. Power System and Clean Energy, 2013, 29(2): 43-47.

CHENG Y, TABRIZI M, SAHNI M, et al. Dynamic available agc based approach for enhancing utility scale energystorage performance[J]. IEEE Transactions on Smart Grid, 2014, 5(2): 1070-1078.

柯飞, 李欣然, 黄际元, 等. 储能系统参与电网调频服务的动态分配系数研究[J]. 电器与能效管理技术, 2016, 14: 41-45.

KE F, LI X R, HUANG J Y, et al. Study on distribution coefficient in frequency regulation services with energy storage system[J]. Dianqi Yu Nengxiao Guanli Jishu, 2016, 14: 41-45.

杨湛晔, 王佳楠, 张虎润. "互联网+"智慧能源储能系统主动调控策略研究[J]. 发电技术, 2020, 41(3): 281-287.

YANG Z Y, WANG J N, ZHANG H R. Active regulation strategy of "Internet +" smart energy storage system[J]. Power Generation Technology, 2020, 41(3):281-287.

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.

陈大宇, 张粒子, 王立国. 储能调频系统控制策略与投资收益评估研究[J]. 现代电力, 2016, 33(1): 80-86.

CHEN D Y, ZHANG L Z, WANG L G. Control strategy of energy storage system for frequency regulation and evaluation of investment income[J]. Modern Electric Power, 2016, 33(1): 80-86.

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策略[J]. 电网技术, 2018, 42(2): 426-433.

SUN B Y, LIU Z Q, YANG S L, et al. A real-time optimization method of compensation degree for storage coordinated with thermal power unit in AGC[J]. Power System Technology, 2018, 42(2): 426-433.

贾燕冰,郑晋, 陈浩, 等. 基于集合经验模态分解的火–储联合调度调频储能容量优化配置[J]. 电网技术, 2018, 42(9): 2930-2937.

JIA Y B, ZHENG J, CHEN H, et al. Capacity allocation optimization of energy storage in thermal-storage frequency regulation dispatch system based on EEMD[J]. Power System Technology, 2018, 42(9): 2930-2937.

张静炜, 朱想, 赫卫国, 等. 考虑光伏发电和储能系统调压能力的配电网储能容量优化配置[J]. 广东电力, 2018, 31(7): 30-35.

ZHANG J W, ZHU X, HE W G, et al. Optimized allocation of energy storage capacity in distribution network considering photovoltaic power generation and energy storage system voltage regulation capability[J]. Guangdong Electric Power, 2018, 31(7): 30-35.

吴小刚, 刘宗歧, 田立亭, 等. 基于改进多目标粒子群算法的配电网储能选址定容[J]. 电网技术, 2014, 38(12): 3405-3411.

WU X G, LIU Z Q, TIAN L T, et al. Energy storage device locating and sizing for distribution network based on improved multi-objective particle swarm optimizer[J]. Power System Technology, 2014, 38(12): 3405-3411.

LIU X, AICHHORN A, LIU L, et al. Coordinated control of distributed energy storage system with tap changer transformers for voltage rise mitigation under high photovoltaic penetration[J]. IEEE Transactions on Smart Grid, 2012, 3(2): 897-906.

BEHRANGRAD M, SUGIHARA H, FUNAKi T. Effect of optimal spinning reserve requirement on system pollution emission considering reserve supplying demand response in the electricity market[J]. Applied Energy, 2011, 88(7): 2548-2558.

LIN Z, SALAM M A, SUN L, et al. Optimization model for power system restoration with support from electric vehicles employing battery swapping[J]. IET Generation, Transmission&Distribution, 2016, 10(3): 771-779.

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]. 中国电机工程学报, 2018, 38(10): 2849-2860.

LI Y W, MIAO S H, LUO X, et al. Day-ahead and intra-day time scales coordinative dispatch strategy of power system with compressed air energy storage[J]. Proceedings of the CSEE, 2018, 38(10): 2849-2860.

KROPOSKI B, JOHNSON B, ZHANG Y, et al. Achieving a 100% renewable grid: operating electric power systems with extremely high levels of variable renewable energy[J]. IEEE Power and Energy Magazine, 2017, 15(2): 61-73.

邓强, 詹红霞, 杨孝华, 等. 直购电背景下利用储能配合旋转备用的风电并网容量优化[J]. 电力建设, 2019, 40(4): 98-109.

DENG Q, ZHAN H X, YANG X H, et al. Optimization of wind power integration capacity considering spinning reserve with energy storage system in the context of direct power purchase[J]. Electric Power Construction, 2019, 40(4): 98-109.

李建林, 马会萌, 袁晓冬, 等. 规模化分布式储能的关键应用技术研究综述[J]. 电网技术, 2017, 41(10): 3365-3375.

LI J L, MA H M, YUAN X D, et al. Overview on key applied technologies of large-scale distributed energy storage[J]. Power System Technology, 2017, 41(10): 3365-3375.

LOMBARDI P, SCHWABE F. Sharing economy as a new business model for energy storage systems[J]. Applied Energy, 2017, 188: 485-496.

陈庆明, 吕勇强. 废旧锂离子动力电池回收体系与商业模式的构建[J]. 中国工程咨询, 2016(4): 43-45.

CHEN Q M, LÜ Y Q. Construction of waste lithium ion power battery recycling system and business model[J]. Chinese Consulting Engineers, 2016(4): 43-45.

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