Development prospects of energy storage participating in auxiliary services of power systems under the targets of the dual-carbon goal

doi:10.19799/j.cnki.2095-4239.2021.0431

Abstract

Abstract:

The dual-carbon goal in developing the energy industry has changed the position of renewable energy. The grid's stable operation faces new challenges because of large-scale intermittent new energy grid connections, and energy storage is essential to ensure power quality stability. Therefore, the demand for coordinated control effects and performance parameters of the energy storage system is increasing in the growing energy storage market. In the energy storage market evolution, policies on energy storage show a positive trend. By systematically combing the operation status and typical cases of energy storage combined with other energies to participate in auxiliary services, the energy storage system has low revenue and narrow channels, which cannot ensure effective system cost reduction. Therefore, to discuss key issues in optimizing energy storage policies, accelerating energy storage equipment research, equipping energy storage with multiple energy sources, and developing the concept of energy storage plus, we analyzed the development trend of new energy, the power industry demand, and the role of energy storage under the dual-carbon goal. Finally, we propose constructive opinions on the key content of the future development of energy storage marketization to help achieve the long-term goal of carbon neutrality.

Key words: dual-carbon goal, auxiliary services, compensation mechanism, cooperative control, energy storage plus

CLC Number:

TM 715

Zhicheng LIU, Daogang PENG, Huirong ZHAO, Danhao WANG, Yuchen LIU. Development prospects of energy storage participating in auxiliary services of power systems under the targets of the dual-carbon goal[J]. Energy Storage Science and Technology, 2022, 11(2): 704-716.

Figures/Tables 4

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References 50

1	田鑫, 张健, 李雪亮, 等. 基于时序运行模拟的山东电网光伏发电消纳能力评估[J]. 电力系统保护与控制, 2020, 48(8): 34-43.
	TIAN X, ZHANG J, LI X L, et al. Evaluating photovoltaic accommodation ability for the Shandong power system based on sequential operation simulation[J]. Power System Protection and Control, 2020, 48(8): 34-43.
2	徐婉迪, 魏来, 罗俊, 等. 储能产业发展带来的能源革命及其关键管理科学问题[J]. 系统管理学报, 2021, 30(1): 191-197.
	XU W D, WEI L, LUO J, et al. Energy revolution empowered by development of energy storage industry and its key management science issues[J]. Journal of Systems & Management, 2021, 30(1): 191-197.
3	谢志佳, 李德鑫, 王佳蕊, 等. 储能系统参与电力系统调频应用场景及控制方法研究[J]. 热力发电, 2020, 49(8): 117-125.
	XIE Zhijia, LI Dexin, WANG Jiarui, et al. Application scenarios and control method research of energy storage system participating in power system frequency modulation[J]. Thermal Power Generation, 2020, 49(8): 117-125.
4	张志, 邵尹池, 伦涛, 等. 电化学储能系统参与调峰调频政策综述与补偿机制探究[J]. 电力工程技术, 2020, 39(5): 71-77,84.
	ZHANG Z, SHAO Y C, LUN T, et al. Review on the policies and compensation mechanism of BESS participation in the auxiliary service of frequency and peak modulation[J]. Electric Power Engineering Technology, 2020, 39(5): 71-77,84.
5	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.
6	国家发展改革委, 国家能源局. 国家发展改革委国家能源局关于加快推动新型储能发展的指导意见[J]. 电力设备管理, 2021(7): 16-17, 40.
	Guiding opinions on accelerating the development of new energy storage from National Development and Reform Commission, National Energy Administration[J]. Electric Power Equipment Management, 2021(7): 16-17, 40.
7	裴哲义, 范高锋, 秦晓辉. 我国电力系统对大规模储能的需求分析[J]. 储能科学与技术, 2020, 9(5): 1562-1565.
	PEI Z Y, FAN G F, QIN X H. Demand analysis of large scale energy storage in China's power system[J]. Energy Storage Science and Technology, 2020, 9(5): 1562-1565.
8	广东电网调度控制中心.广东调频辅助服务市场交易规则(征求意见)[R].2020.Guangdong Power Grid Dispatching Control Cente. Transaction rules of Guangdong FM auxiliary service market for comments[R]. 2020.
9	江苏能源监管办.江苏电力辅助服务(调频)市场交易规则(试行)[R].2020.Jiangsu Energy Regulatory Office. Transaction rules of Jiangsu electric power auxiliary service (FM) market (trial)[R]. 2020.
10	江苏能源监管办.江苏电力市场用户可调负荷参与辅助服务市场交易规则(试行)[R].2020.Jiangsu Energy Regulatory Office. Transaction rules for users' adjustable load participation in auxiliary service market in Jiangsu electric power market (trial)[R]. 2020.
11	华东能源监管局.安徽电力调峰辅助服务市场运营规则(试行)[R].2020.East China Energy Regulatory Bureau. Operation rules of Anhui power peak shaving auxiliary service market (trial)[R]. 2020.
12	茆美琴, 洪嘉玲, 张榴晨. 考虑光伏出力预测误差修正的储能优化配置方法[J]. 太阳能学报, 2021, 42(2): 410-416.
	MAO M Q, HONG J L, ZHANG L C. Energy storage optimization configuration method considering conditional forecast error correction[J]. Acta Energiae Solaris Sinica, 2021, 42(2): 410-416.
13	姚维平, 鄂志君, 张宁, 等. 光伏电力混合储能系统的能量管理策略研究[J]. 可再生能源, 2021, 39(2): 264-269.
	YAO W P, E Z J, ZHANG N, et al. Research on ienergy management of photovoltaic hybrid energy storage system[J]. Renewable Energy Resources, 2021, 39(2): 264-269.
14	刘冠群, 袁越, 王敏, 等. 考虑经济成本的光伏电站储能容量配置[J]. 可再生能源, 2014, 32(1): 1-5.
	LIU G Q, YUAN Y, WANG M, et al. Energy storage capacity determining of PV plant considering economic cost[J]. Renewable Energy Resources, 2014, 32(1): 1-5.
15	刘梦超, 王生铁, 温素芳. 光储微电网并离网平滑切换控制策略研究[J]. 可再生能源, 2020, 38(12): 1633-1639.
	LIU M C, WANG S T, WEN S F. Research on smooth switching control strategy of microgrid with photovoltaic and energy storage[J]. Renewable Energy Resources, 2020, 38(12): 1633-1639.
16	梁恺,彭晓涛,秦世耀,等.基于协同控制优化风储系统频率响应的策略研究[J/OL].中国电机工程学报:1-13[2021-04-07].http://kns.cnki.net/kcms/detail/11.2107.TM.20200820.1107.002.html.
	LIANG Kai, PENG Xiaotao, QIN Shiyao, et al. Study on synergetic control strategy for optimizing frequency response of wind farm augmented with energy storage system[J/OL]. Proceedings of the CSEE: 1-13[2021-04-07]. http://kns.cnki.net/kcms/detail/11.2107. TM.20200820.1107.002.html.
17	佘慎思, 李征, 蔡旭. 风储联合发电系统电池荷电状态和功率偏差控制策略[J]. 电力系统自动化, 2014, 38(20): 9-17.
	SHE S S, LI Z, CAI X. SOC and power deviation control strategy for hybrid generation systems of wind power and energy storage[J]. Automation of Electric Power Systems, 2014, 38(20): 9-17.
18	李笑竹, 王维庆, 王海云, 等. 基于鲁棒优化的风光储联合发电系统储能配置策略[J]. 太阳能学报, 2020, 41(8): 67-78.
	LI X Z, WANG W Q, WANG H Y, et al. Energy storage allocation strategy of wind-solar-storage combined system based on robust optimization[J]. Acta Energiae Solaris Sinica, 2020, 41(8): 67-78.
19	冯璐, 李斌, 张新敬, 等. 考虑需求侧响应的风储系统容量配置优化分析[J]. 中国电机工程学报, 2020, 40(S1): 222-231.
	FENG L, LI B, ZHANG X J, et al. Capacity allocation optimization of energy storage system considering demand side response[J]. Proceedings of the CSEE, 2020, 40(S1): 222-231.
20	高红均, 刘俊勇, 魏震波, 等. 考虑风储一体的多场景两阶段调度决策模型[J]. 电力自动化设备, 2014, 34(1): 135-140.
	GAO H J, LIU J Y, WEI Z B, et al. Multi-scenario two-stage dispatch decision-making model for wind farm with integrated energy storage[J]. Electric Power Automation Equipment, 2014, 34(1): 135-140.
21	文贤馗, 张世海, 邓彤天, 等. 大容量电力储能调峰调频性能综述[J]. 发电技术, 2018, 39(6): 487-492.
	WEN X K, ZHANG S H, DENG T T, et al. A summary of large capacity power energy storage peak regulation and frequency adjustment performance[J]. Power Generation Technology, 2018, 39(6): 487-492.
22	LI Y, HE L, LIU F, et al. Flexible voltage control strategy considering distributed energy storages for DC distribution network[J]. IEEE Transactions on Smart Grid, 2019, 10(1): 163-172.
23	ZHAO H Y, HONG M G, LIN W, et al. Voltage and frequency regulation of microgrid with battery energy storage systems[J]. IEEE Transactions on Smart Grid, 2019, 10(1): 414-424.
24	ZHANG Y J A, ZHAO C H, TANG W R, et al. Profit-maximizing planning and control of battery energy storage systems for primary frequency control[J]. IEEE Transactions on Smart Grid, 2018, 9(2): 712-723.
25	ZHANG F, HU Z C, XIE X, et al. Assessment of the effectiveness of energy storage resources in the frequency regulation of a single-area power system[J]. IEEE Transactions on Power Systems, 2017, 32(5): 3373-3380.
26	邓霞, 孙威, 肖海伟. 储能电池参与一次调频的综合控制方法[J]. 高电压技术, 2018, 44(4): 1157-1165.
	DENG X, SUN W, XIAO H W. Integrated control strategy of battery energy storage system in primary frequency regulation[J]. High Voltage Engineering, 2018, 44(4): 1157-1165.
27	吴启帆, 宋新立, 张静冉, 等. 电池储能参与电网一次调频的自适应综合控制策略研究[J]. 电网技术, 2020, 44(10): 3829-3836.
	WU Q F, SONG X L, ZHANG J R, et al. Study on self-adaptation comprehensive strategy of battery energy storage in primary frequency regulation of power grid[J]. Power System Technology, 2020, 44(10): 3829-3836.
28	刘鑫,李欣然,谭庄熙,等.基于不同种类储能电池参与一次调频的最优策略经济性对比[J/OL].高电压技术:1-9[2021-04-07]. https://doi. org/10.13336/j.1003-6520.hve.20201398.
	LIU Xin, LI Xinran, TAN Zhuangxi, et al. Economic comparison of optimal strategies based on different types of energy storage batteries participating in primary frequency regulation[J/OL].High Voltage Engineering: 1-9[2021-04-07]. https://doi.org/10.13336/j.1003-6520.hve.20201398.
29	陈浩, 贾燕冰, 王晓勤, 等. 基于CPS指标评估的不同场景调频储能容量配置[J]. 太原理工大学学报, 2020, 51(3): 423-429.
	CHEN H, JIA Y B, WANG X Q, et al. Frequency regulation energy storage capacity configuration for different scenarios based on CPS indicator evaluation[J]. Journal of Taiyuan University of Technology, 2020, 51(3): 423-429.
30	鲍冠南, 陆超, 袁志昌, 等. 基于动态规划的电池储能系统削峰填谷实时优化[J]. 电力系统自动化, 2012, 36(12): 11-16.
	BAO G N, LU C, YUAN Z C, et al. Load shift real-time optimization strategy of battery energy storage system based on dynamic programming[J]. Automation of Electric Power Systems, 2012, 36(12): 11-16.
31	李艳生, 蔺红. 储能系统协同常规机组调峰控制策略研究[J]. 可再生能源, 2021, 39(4): 507-513.
	LI Y S, LIN H. Study on the strategy of energy storage system coordination with conventional unit peak shaving control[J]. Renewable Energy Resources, 2021, 39(4): 507-513.
32	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.
33	李军徽, 张嘉辉, 穆钢, 等. 计及负荷峰谷特性的储能调峰日前优化调度策略[J]. 电力自动化设备, 2020, 40(7): 128-133, 140, 134-136.
	LI J H, ZHANG J H, MU G, et al. Day-ahead optimal scheduling strategy of peak regulation for energy storage considering peak and valley characteristics of load[J]. Electric Power Automation Equipment, 2020, 40(7): 128-133, 140, 134-136.
34	孟娅, 李欣然, 黎淑娟, 等. 电池储能参与配电网削峰填谷的变功率控制策略[J]. 电力建设, 2018, 39(4): 45-50.
	MENG Y, LI X R, LI S J, et al. Variable power control strategy of battery energy storage system participating in distribution network peak load shifting[J]. Electric Power Construction, 2018, 39(4): 45-50.
35	胡泽春, 谢旭, 张放, 等. 含储能资源参与的自动发电控制策略研究[J]. 中国电机工程学报, 2014, 34(29): 5080-5087.
	HU Z C, XIE X, ZHANG F, et al. Research on automatic generation control strategy incorporating energy storage resources[J]. Proceedings of the CSEE, 2014, 34(29): 5080-5087.
36	黄亚唯, 李欣然, 黄际元, 等. 电池储能电源参与AGC的控制方式分析[J]. 电力系统及其自动化学报, 2017, 29(3): 83-89.
	HUANG Y W, LI X R, HUANG J Y, et al. Analysis of control methods for AGC with battery energy storage system[J]. Proceedings of the CSU-EPSA, 2017, 29(3): 83-89.
37	李欣然, 黎淑娟, 黄际元, 等. 储能电池参与电网二次调频的高效性评估[J]. 太阳能学报, 2019, 40(9): 2608-2615.
	LI X R, LI S J, HUANG J Y, et al. Efficiency analysis of energy storage battery participating in secondary frequency regulation[J]. Acta Energiae Solaris Sinica, 2019, 40(9): 2608-2615.
38	丁冬, 刘宗歧, 杨水丽, 等. 基于模糊控制的电池储能系统辅助AGC调频方法[J]. 电力系统保护与控制, 2015, 43(8): 81-87.
	DING D, LIU Z Q, YANG S L, et al. Battery energy storage aid automatic generation control for load frequency control based on fuzzy control[J]. Power System Protection and Control, 2015, 43(8): 81-87.
39	张舒鹏, 董树锋, 徐成司, 等. 大规模储能参与电网调频的双层控制策略[J]. 电力系统自动化, 2020, 44(19): 55-62.
	ZHANG S P, DONG S F, XU C S, et al. Bi-level control strategy for power grid frequency regulation with participation of large-scale energy storage[J]. Automation of Electric Power Systems, 2020, 44(19): 55-62.
40	熊雄, 杨仁刚, 叶林, 等. 电力需求侧大规模储能系统经济性评估[J]. 电工技术学报, 2013, 28(9): 224-230.
	XIONG X, YANG R G, YE L, et al. Economic evaluation of large-scale energy storage allocation in power demand side[J]. Transactions of China Electrotechnical Society, 2013, 28(9): 224-230.
41	饶宇飞, 高泽, 杨水丽, 等. 大规模电池储能调频应用运行效益评估[J]. 储能科学与技术, 2020, 9(6): 1828-1836.
	RAO Y F, GAO Z, YANG S L, et al. Operational benefit evaluation for frequency regulation application of large-scale battery energy storage[J]. Energy Storage Science and Technology, 2020, 9(6): 1828-1836.
42	黎淑娟, 李欣然, 黄际元, 等. 基于层次分析法的调频用储能电源选型[J]. 电气应用, 2020, 39(10): 20-25.
	LI S J, LI X R, HUANG J Y, et al. Selection of energy storage power supply for frequency regulation based on analytic hierarchy process[J]. Electrotechnical Application, 2020, 39(10): 20-25.
43	NGUYEN T A, COPP D A, BYRNE R H, et al. Market evaluation of energy storage systems incorporating technology-specific nonlinear models[J]. IEEE Transactions on Power Systems, 2019, 34(5): 3706-3715.
44	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.
	CHEN L J, JIANG Y X, WANG C. Strategy and capacity of energy storage for improving AGC performance of power plant[J]. Electric Power Automation Equipment, 2017, 37(8): 52-59.
45	王国栋. 共享储能商业运营的青海样本[N]. 国家电网报, 2021-08-31(5).
46	倪斌. 国家“双碳”战略的思考与实践[J]. 上海节能, 2021(9): 930-937.
	NI B. Thoughts and practices of national strategy of carbon peak carbon neutrality[J]. Shanghai Energy Conservation, 2021(9): 930-937.
47	华北能源监管局.蒙西电力市场调频辅助服务交易实施细则(试行)[Z].2020.North China Energy Regulatory Bureau. Detailed rules for the implementation of FM auxiliary service transaction in Mengxi electric power market (trial)[Z]. 2020.
48	杨丽君, 黄凯婷, 孔晓磊, 等. 考虑柔性负荷的并网型微电网系统容量优化配置[J]. 太阳能学报, 2021, 42(2): 309-316.
	YANG L J, HUANG K T, KONG X L, et al. Capacity optimization configuration of grid-connected microgrid system considering flexible load[J]. Acta Energiae Solaris Sinica, 2021, 42(2): 309-316.
49	粟世玮, 张思洋, 尤熠然, 等. 基于相关性分析的风光储互补需求响应策略[J]. 科学技术与工程, 2020, 20(17): 6902-6907.
	SU S W, ZHANG S Y, YOU Y R, et al. Wind-solar-complementary energy system demand response model based on correlation analysis[J]. Science Technology and Engineering, 2020, 20(17): 6902-6907.
50	齐军, 孙绥, 李佳朋, 等. 风储交流微电网自动功率平衡控制策略[J]. 智慧电力, 2020, 48(1): 9-14, 34.
	QI J, SUN S, LI J P, et al. Autonomous active power balance control strategy for islanded AC microgrids with wind generation and energy storage system[J]. Smart Power, 2020, 48(1): 9-14, 34.

地区	准入准则	调频补偿
福建	10 MW	容量补偿240/MW
福建	综合调频指标≥0.53	里程补偿≤12元/MW
山东	—	≤6元/MW
山西	—	(12～20)元/MW
云南	综合调频指标≥0.3	容量补偿:5元/(MW·h)
云南	综合调频指标≥0.3	里程补偿:(3～8)元/MW
广东	—	第一年申报：(5.5～15)元/MW
广东	—	未中标：3.65元/(MW·h)
江苏	10 MW/20(MW·h)	基本补偿：2元/MW
		容量补偿：50元/MW
		里程补偿：(0.1～1.2)元/MW

地区	准入准则	调峰补偿
青海	10 MW/20(MW·h)	0.5元/(kW·h)
新疆	5 MW/10(MW·h)	0.55元/(kW·h)
安徽	—	与燃煤火电机组竞价
安徽	—	报价区间：(300～800)元/(MW·h)
湖南	10 MW	深度调峰：≤0.2元/(kW·h)
湖南	10 MW	紧急短时：(0.45～0.6)元/(kW·h)
山东	5 MW/10(MW·h)	有偿调峰：0.15元/(kW·h)
山东	5 MW/10(MW·h)	停机调峰：0.40元/(kW·h)
江苏	20 MW/40 MW	中长期调峰：谷段：250元/(MW·h)
		平段：600元/(MW·h)
		峰段：900元/(MW·h)
		短期调峰：需求≥4 h：≤1元/(kW·h)
		需求<4 h：≤2元/(kW·h)

项目名称	地点	建设规模	储能应用
青海黄河上游水电开发有限责任公司国家光伏发电试验测试基地配套储能电站项目	青海省海南州共和县光伏产业园	光伏20 MW 储能6.7 MW·h	光储发电侧
国家风光储输示范工程二期储能扩建工程	张家口市张北县	增建风电400 MW、光伏60 MW、储能50 MW	风光储发电侧
宁德时代储能微网项目	宁德时代公司厂区	光伏系统5.72(MW·h) 储能系统.25 MW/0.5(MW·h)	用户侧
张家港海螺水泥厂储能电站项目	张家港海螺水泥有限公司厂区	8 MW/32(MW·h)	用户侧
苏州昆山储能电站	南京江北新区	110.88 MW/193.6(MW·h)	电网侧
福建晋江储能电站试点示范项目	靖江市安海镇	30 MW/108(MW·h)	电网侧
科陆-华润电力储能辅助调频项目	广东省汕尾市海丰小漠电厂大澳村西侧	30 MW/14.93(MW·h)	火力发电侧
佛山市顺德德胜电厂储能调频项目	顺德德胜电厂	9 MW/4.5(MW·h)	火力发电侧