用于新能源一次调频的储能经济配置研究

doi:10.11930/j.issn.1004-9649.202307042

中国电力 ›› 2024, Vol. 57 ›› Issue (7): 54-65.DOI: 10.11930/j.issn.1004-9649.202307042

• 新型电力系统不确定性建模与运行决策 • 上一篇下一篇

用于新能源一次调频的储能经济配置研究

李鲁阳¹(), 陈龙翔², 陈磊¹(), 孙大卫³, 吴林林³, 闵勇¹

1. 清华大学电机工程与应用电子技术系，北京　100084
2. 国家电网有限公司，北京　100031
3. 国网冀北电力有限公司电力科学研究院，北京　100045

收稿日期:2023-07-12 录用日期:2023-10-10 发布日期:2024-07-23 出版日期:2024-07-28
作者简介:李鲁阳（1990—），男，博士，助理研究员，从事新型电力系统频率动态分析控制、储能系统经济性研究，E-mail：liluyangnj@163.com
陈磊（1982—），男，通信作者，博士，研究员，从事电力系统动态分析与控制、电力系统经济性研究，E-mail：chenlei08@tsinghua.edu.cn
基金资助:
国家电网有限公司科技项目（4000-202214063A-1-1-ZN）。

Research on Economic Configuration of Energy Storage for Assisting New Energy in Primary Frequency Regulation

Luyang LI¹(), Longxiang CHEN², Lei CHEN¹(), Dawei SUN³, Linlin WU³, Yong MIN¹

1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
2. State Grid Corporation of China, Beijing 100031, China
3. Electric Power Science Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China

Received:2023-07-12 Accepted:2023-10-10 Online:2024-07-23 Published:2024-07-28
Supported by:
This work is supported by Science and Technology Project of SGCC (No.4000-202214063A-1-1-ZN).

摘要/Abstract

摘要：

新能源参与电力系统一次调频时需要解决能量来源问题，配置储能是一种有效的方式。在实际应用中储能配置需要充分考虑物理特性约束、单位成本等多方面的因素，综合比较技术经济性。但是，现有文献所提出的储能系统配置方案通常对运行场景的分析较多，对各类工程约束和储能的实际成本数据则考虑较少。基于储能的实际成本数据，在充分考虑储能系统物理特性及工程设计约束的情况下，对新能源一次调频应用场景下储能系统分布式接入场站的经济性展开了研究。分析了锂电池、飞轮和超级电容3类储能系统的技术特点和设计约束，在此基础上提出了3类储能用于一次调频的配置方法，结合配置方案进行了成本分析和技术经济性比较。

关键词: 新能源, 储能, 分布式接入, 一次调频, 经济性

Abstract:

When participating in primary frequency regulation of electrical power systems, it is necessary for new energy to address the issue of energy sources. Configuring energy storage is an effective way. In practical application, the configuration of energy storage needs to consider the factors of physical characteristics, unit cost, and other constraints to comprehensively compare the technical economy. However, the energy storage system configuration schemes proposed in existing literature mainly analyze operational scenarios and fail to consider various engineering constraints and actual cost data of energy storage. Based on the actual cost data, this article fully considers the physical characteristics and engineering design constraints of the energy storage system to study the economy of distributed access to units within the station for assisting primary frequency regulation of new energy. The article analyzes the technical characteristics and design constraints of three types of energy storage systems, namely lithium batteries, flywheels, and supercapacitors. On this basis, three types of configuration methods for energy storage for primary frequency regulation are proposed, and cost analysis and technical economy comparison are conducted based on the configuration schemes.

Key words: new energy, energy storage, distributed access, primary frequency regulation, economy

李鲁阳, 陈龙翔, 陈磊, 孙大卫, 吴林林, 闵勇. 用于新能源一次调频的储能经济配置研究[J]. 中国电力, 2024, 57(7): 54-65.

Luyang LI, Longxiang CHEN, Lei CHEN, Dawei SUN, Linlin WU, Yong MIN. Research on Economic Configuration of Energy Storage for Assisting New Energy in Primary Frequency Regulation[J]. Electric Power, 2024, 57(7): 54-65.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307042

https://www.electricpower.com.cn/CN/Y2024/V57/I7/54

图/表 10

图 1 不同类型储能技术适用的功率范围和额定功率下的工作时间

Fig.1 Applicable power range and operating time at rated power of different types of energy storage technologies

图 2 锂电池储能系统结构

Fig.2 Structure of lithium battery energy storage system

图 3 飞轮储能系统结构

Fig.3 Structure of flywheel energy storage system

图 4 超级电容储能系统结构

Fig.4 Structure of supercapacitor energy storage system

表 1 APR26650 m1 b型锂电池技术经济特性

Table 1 Technical and economic characteristics of APR26650 m1 b type lithium battery

性能指标		指标参数
平台电压/ V		3.3
容量/(A·h)		2.5
最大放电倍率		48 C/持续10 s
最大充电倍率		10 C/持续10 s
持续放电倍率		20 C
持续充电倍率		4 C
集成模组价格/(元·(W·h)^–1)		15

表 2 不同厂家调频飞轮储能系统的报价

Table 2 Quotations for flywheel energy storage systems with frequency regulation from different manufacturers

型号	容量	成本/万元
GTR333	333 kW/1.5 kW·h	112.5
HHE-FW1M45	1000 kW/45 kW·h	160.0
HC-325	325 kW/50 kW·h	125.0

表 3 超级电容标准模组技术参数

Table 3 Technical parameters of standard module of supercapacitor

性能指标		指标参数
额定电压U_e/V		48
额定电容量C_e/F		165
持续工作电流I_e/A		71
峰值工作电流I_p/A		100
存储电量W_e/(W·h)		53

表 4 不同的电容和电池配置比例下系统的容量情况

Table 4 System capacity with different ratios of capacitance and battery configurations 单位：kW·h

电容功率与电池功率比值	电容电量	系统总电量
1∶3	10.03	628.27
2∶2	15.05	427.21
3∶1	23.08	229.16

表 5 应用于调频的超级电容+锂电池储能混合配置成本

Table 5 Cost of hybrid energy storage configuration of supercapacitors and lithium batteries for frequency regulation 单位：万元

电容功率与电池功率比值	电容总成本	电池总成本	总成本
1∶3	72.695	216.78	289.475
2∶2	145.390	144.51	289.900
3∶1	218.085	72.27	290.355

图 5 各类储能方案辅助新能源调频的建设成本

Fig.5 Construction cost of each energy storage scheme for assisting frequency regulation of new energy

参考文献 31

1	闵勇, 陈磊, 刘瑞阔, 等. 电力系统频率动态中惯量与惯量响应特性辨析[J]. 中国电机工程学报, 2023, 43 (3): 853- 867.
	MIN Yong, CHEN Lei, LIU Ruikuo, et al. Analysis on characteristics of inertia and inertial response in power system frequency dynamics[J]. Proceedings of the CSEE, 2023, 43 (3): 853- 867.
2	RAHMANN C, CASTILLO A. Fast frequency response capability of photovoltaic power plants: the necessity of new grid requirements and definitions[J]. Energies, 2014, 7 (10): 6306- 6322. DOI
3	张子扬, 张宁, 杜尔顺, 等. 双高电力系统频率安全问题评述及其应对措施[J]. 中国电机工程学报, 2022, 42 (1): 1- 25.
	ZHANG Ziyang, ZHANG Ning, DU Ershun, et al. Review and countermeasures on frequency security issues of power systems with high shares of renewables and power electronics[J]. Proceedings of the CSEE, 2022, 42 (1): 1- 25.
4	文云峰, 杨伟峰, 林晓煌. 低惯量电力系统频率稳定分析与控制研究综述及展望[J]. 电力自动化设备, 2020, 40 (9): 211- 222.
	WEN Yunfeng, YANG Weifeng, LIN Xiaohuang. Review and prospect of frequency stability analysis and control of low-inertia power systems[J]. Electric Power Automation Equipment, 2020, 40 (9): 211- 222.
5	程时杰, 文劲宇, 孙海顺. 储能技术及其在现代电力系统中的应用[J]. 电气应用, 2005, 24 (4): 1- 2, 4–6, 8–19.
6	游文霞, 刘斌, 李世春, 等. 风电并网下的抽水蓄能鲁棒最优调频控制策略[J]. 中国电力, 2023, 56 (5): 32- 40.
	YOU Wenxia, LIU Bin, LI Shichun, et al. Robust optimal frequency regulation control strategy for pumped storage in grid-connected wind power systems[J]. Electric Power, 2023, 56 (5): 32- 40.
7	OUDALOV A, CHARTOUNI D, OHLER C. Optimizing a battery energy storage system for primary frequency control[J]. IEEE Transactions on Power Systems, 2007, 22 (3): 1259- 1266. DOI
8	MERCIER P, CHERKAOUI R, OUDALOV A. Optimizing a battery energy storage system for frequency control application in an isolated power system[J]. IEEE Transactions on Power Systems, 2009, 24 (3): 1469- 1477. DOI
9	张嘉诚, 夏向阳, 邓子豪, 等. 储能电站安全参与电网一次调频的优化控制策略[J]. 中国电力, 2022, 55 (2): 19- 27.
	ZHANG Jiacheng, XIA Xiangyang, DENG Zihao, et al. Optimal control strategy for energy storage power station in primary frequency regulation of power grid[J]. Electric Power, 2022, 55 (2): 19- 27.
10	贾天下, 陈磊, 闵勇, 等. 快速响应储能参与一次调频的控制策略[J]. 清华大学学报(自然科学版), 2021, 61 (5): 429- 436.
	JIA Tianxia, CHEN Lei, MIN Yong, et al. Control strategy for primary frequency regulation with the participation of a quick response energy storage[J]. Journal of Tsinghua University (Science and Technology), 2021, 61 (5): 429- 436.
11	刘辉, 葛俊, 巩宇等. 风电场参与电网一次调频最优方案选择与风储协调控制策略研究[J]. 全球能源互联网, 2019, 2 (1): 44- 52.
	Liu Hui, Ge Jun, Gong Yu, et al. Optimization scheme selection of wind farm participation in grid primary frequency modulation and study of wind-storage coordination control strategy[J]. Journal of Global Energy Interconnection, 2019, 2 (1): 44- 52.
12	谷晴, 李睿, 蔡旭, 等. 面向百兆瓦级应用的电池储能系统拓扑与控制方法[J]. 发电技术, 2022, 43 (5): 698- 706.
	GU Qing, LI Rui, CAI Xu, et al. 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.
13	LIU H, HU Z C, SONG Y H, et al. Decentralized vehicle-to-grid control for primary frequency regulation considering charging demands[J]. IEEE Transactions on Power Systems, 2013, 28 (3): 3480- 3489. DOI
14	蒋平, 袁铁江, 车勇, 等. 分散式风储一体化系统容量规划研究[J]. 电力电容器与无功补偿, 2018, 39 (1): 138- 146.
	JIANG Ping, YUAN Tiejiang, CHE Yong, et al. Study on capacity planning of distributed wind-storage integration system[J]. Power Capacitor & Reactive Power Compensation, 2018, 39 (1): 138- 146.
15	徐波, 俞向栋, 杨逸欣, 等. 基于多智能体系统的分布式风储协同频率控制策略[J]. 电力系统保护与控制, 2022, 50 (19): 13- 24.
	XU Bo, YU Xiangdong, YANG Yixin, et al. Distributed wind-storage coordinate frequency control strategy based on a multi-agent system[J]. Power System Protection and Control, 2022, 50 (19): 13- 24.
16	微控新能源大唐阜新查台风电场站飞轮一次调频及惯量响应应用项目[EB/OL]. (2021-11-16)[2023-08-21]. http://www.cnenergynews.cn/zhuanti/2021/11/16/detail_20211116111008.html.
17	电网友好型技术[EB/OL]. (2022-11-21)[2023-08-21]. https://www.chinawindey.com/technology?id=1.
18	张峰, 孟高军, 孙玉坤, 等. 高渗透率风电并网下的电力系统调频技术综述[J]. 电气应用, 2019, 38 (9): 19- 26.
	ZHANG Feng, MENG Gaojun, SUN Yukun, et al. Review on power system frequency modulation technology under high permeability wind power grid connection[J]. Electrotechnical Application, 2019, 38 (9): 19- 26.
19	唐西胜, 武鑫, 齐智平. 超级电容器蓄电池混合储能独立光伏系统研究[J]. 太阳能学报, 2007, 28 (2): 178- 183.
	TANG Xisheng, WU Xin, QI Zhiping. Study on a stand-alone pv system with battery/ultracapacitor hybrid energy storage[J]. Acta Energiae Solaris Sinica, 2007, 28 (2): 178- 183.
20	李想, 张建成, 王宁. 超级电容器-飞轮-蓄电池混合储能系统容量配置方法研究[J]. 中国电力, 2018, 51 (11): 117- 124.
	LI Xiang, ZHANG Jiancheng, WANG Ning. Capacity configuration strategy for super capacitor-flywheel-battery hybrid energy storage system[J]. Electric Power, 2018, 51 (11): 117- 124.
21	谢石骁, 杨莉, 李丽娜. 基于机会约束规划的混合储能优化配置方法[J]. 电网技术, 2012, 36 (5): 79- 84.
	XIE Shixiao, YANG Li, LI Lina. A chance constrained programming based optimal configuration method of hybrid energy storage system[J]. Power System Technology, 2012, 36 (5): 79- 84.
22	国家市场监督管理总局, 国家标准化管理委员会. 并网电源一次调频技术规定及试验导则: GB/T 40595—2021[S]. 北京: 中国标准出版社, 2021.
23	U S. Department of Energy Office of Electricity Delivery & Energy Reliability. Energy storage program planning document 2011 [EB/OL]. (2013-12-23) [2023-08-21]. http://energy.gov/oe/downloads/energy-storage -program-planning-document.
24	Council W E. World Energy Resources Report 2016, E-storage - shifting from cost to value 2016 – wind and solar applications[R]. London: World Energy Council, 2016: 11.
25	中国能源研究会储能专委会, 中关村储能产业技术联盟. 储能产业发展蓝皮书[M]. 北京: 中国石化出版社, 2019: 130–131.
26	李建林, 黄际元, 房凯, 等. 电池储能系统调频技术[M]. 北京: 机械工业出版社, 2018: 22.
27	张丽荣. 内蒙古杭锦旗巴拉贡镇乌吉尔风电场近30年气候分析[J]. 内蒙古科技与经济, 2022, (10): 77- 78, 129.
28	张金强, 熊国专, 胡鹏, 等. 风电机组变桨用超级电容更换周期计算方法分析[J]. 风能, 2022, (10): 74- 79.
29	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]. 高电压技术, 2022, 48 (4): 1403- 1410.
	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]. High Voltage Engineering, 2022, 48 (4): 1403- 1410.
30	刘倩倩. 锂离子电池负极析锂机制及抑制方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2018: 6-18.
	Liu Qianqian. study on the mechanisms of li platng and suppression of li plating in lithiumion cells[D]. Harbin: Harbin Institute of Technology, 2018: 6-18.
31	德)安德列亚斯·福尔克(Andreas Volke), (德)麦克尔·郝康普(Michael Hornkamp)著[★]韩金刚译. IGBT模块: 技术、驱动和应用[M]. 北京: 机械工业出版社, 2016.

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用于新能源一次调频的储能经济配置研究

Research on Economic Configuration of Energy Storage for Assisting New Energy in Primary Frequency Regulation

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