Energy Storage Requirements and Configuration Analysis Based on Typical Characteristics of Global Energy Internet

Jilei YE; Bin LI; Yu ZHANG; Mingzhe LI; Bowen SHI; Haojing WANG

doi:10.12096/j.2096-4528.pgt.20082

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Energy Storage Requirements and Configuration Analysis Based on Typical Characteristics of Global Energy Internet

Power System Planning | 更新时间：2025-07-04

- Energy Storage Requirements and Configuration Analysis Based on Typical Characteristics of Global Energy Internet
- Power Generation Technology Vol. 42, Issue 1, Pages: 20-30(2021)
- 作者机构：
  
  1.南京工业大学能源科学与工程学院, 江苏省南京市 211816
  2.国网上海市电力公司电力科学研究院, 上海市虹口区 200000
- 作者简介：
- 基金信息：
  
  Technical Standard of Shanghai 2020 “Technology Innovation Action Plan”(20DZ2205400)
- DOI：10.12096/j.2096-4528.pgt.20082
  CLC： TK02;TM711.1
- Received：21 September 2020，
  
  Published：28 February 2021
- 稿件说明：
移动端阅览
Jilei YE, Bin LI, Yu ZHANG, et al. Energy Storage Requirements and Configuration Analysis Based on Typical Characteristics of Global Energy Internet[J]. Power Generation Technology, 2021, 42(1): 20-30.
DOI：

Jilei YE, Bin LI, Yu ZHANG, et al. Energy Storage Requirements and Configuration Analysis Based on Typical Characteristics of Global Energy Internet[J]. Power Generation Technology, 2021, 42(1): 20-30. DOI： 10.12096/j.2096-4528.pgt.20082.

摘要

全球能源互联网的发展对长距离电力能量供需平衡、供应持续可靠性提出了更大的挑战。不同类型的储能技术是解决电力电量平衡的优选手段，是全球能源互联网发展必不可少的组成部分。储能的需求和配置与具体应用场景的特征、应用目标紧密相关。通过文献调研和示范工程，分析了全球能源互联网3种典型应用场景中储能技术的配置方法和性能需求，从而给出了储能类型、储能配置的功率和放电时间范围建议。针对全球能源互联网的大规模清洁能源和远距离传输的特征，提出了具体的储能接入拓扑，为模拟储能接入全球能源互联网应用的功能验证提供了解决方案。

Abstract

The development of global energy internet (GEI) poses greater challenges to long-distance power energy supply and demand balance and sustainable supply reliability. Different types of energy storage technologies are the preferred means to solve the power and electricity balance

which are essential parts of GEI development. The requirements and configuring of energy storage are closely related to the characteristics and goals of specific application scenarios. Through literature research and demonstration projects

the configuration methods and performance requirements of energy storage technologies in three typical application scenarios of GEI were analyzed. The suggestions on energy storage types

power of energy storage configuration and discharge time range suitable for different applications were given. Aiming at the characteristics of large-scale clean energy and long-distance transmission of the GEI

a specific energy storage access topology was proposed

which provided a solution for the functional verification of simulated energy storage access to GEI applications.

关键词

Keywords

references

刘振亚. 全球能源互联网[M]. 北京: 中国电力出版社, 2015: 639-641.

LIU Z Y. Global energy internet[M]. Beijing: China Electric Power Press, 2015: 639-641.

王金星, 张少强, 张瀚文, 等. 燃煤电厂调峰调频储能技术的研究进展[J]. 华电技术, 2020, 42(4): 64-71.

WANG J X, ZHANG S Q, ZHANG H W, et al. Progress on the peak load regulation, frequency regulation and energy storage technologies for coal-fired power plants[J]. Huadian Technology, 2020, 42(4): 64-71.

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.

李佳曼, 万文军, 苏伟, 等. 大容量储能移动并网测试装置设计及试验[J]. 广东电力, 2020, 33(10): 9-15.

LI J M, WANG W J, SU W, et al. Design and test of large-capacity energy storage mobile grid-connected test device[J]. Guangdong Electric Power, 2020, 33(10): 9-15.

王冰, 王楠, 田政, 等. 美国电化学储能产业政策分析及对我国储能产业发展的启示与建议[J]. 分布式能源, 2020, 5(3): 23-28.

WANG B, WANG N, TIAN Z, et al. Policy analysis of electrochemical energy storage industry in united states and its enlightenment and suggestions for development of China's energy storage industry[J]. Distributed Energy, 2020, 5(3): 23-28.

万德超, 孙树敏, 尹文泉. 基于MRAS的飞轮储能系统控制与应用[J]. 智慧电力, 2019, 47(6): 101-106.

WAN D C, SUN S M, YIN W Q. Control and application of flywheel energy storage system based on MRAS[J]. Smart Power, 2019, 47(6): 101-106.

葛维春, 刘闯, 王艺博. 电网大规模电储热单元优化调度模型研究[J]. 智慧电力, 2019, 47(4): 32-37.

GE W C, LIU C, WANG Y B. Optimal dispatching model of large scale thermal storage unit in power grid[J]. Smart Power, 2019, 47(4): 32-37.

贾洋洋, 仲海涛, 张智晟. 含储氢装置的分布式能源系统的优化经济调度[J]. 广东电力, 2019, 32(11): 38-44.

JIA Y Y, ZHONG H T, ZHANG Z S. Optimized economic dispatch of distributed energy system with hydrogen storage device[J]. Guangdong Electric Power, 2019, 32(11): 38-44.

王作家, 竺炜, 程志勇. 抽水蓄能发电对直流受端多态频率稳定的影响[J]. 发电技术, 2020, 41(4): 346-353.

WANG Z J, ZHU W, CHENG Z Y. Influence of pumped storage power generation on multi-state frequency stability of DC receiver[J]. Power Generation Technology, 2020, 41(4): 346-353.

王威, 李润秋, 张鹭, 等. 计及多类型电储能的综合能源系统优化运行对比分析研究[J]. 电网与清洁能源, 2020, 36(2): 110-116.

WANG W, LI R Q, ZHANG L, et al. Comparative analysis and research on optimal operation of the integrated energy system considering multi-type electrical storage[J]. Advances of Power System&Hydroelectric Engineering, 2020, 36(2): 110-116.

陈超, 刘海滨, 葛景, 等. 双馈变速抽蓄机组参与平抑风电功率波动研究[J]. 发电技术, 2020, 41(4): 452-460.

CHEN C, LIU H B, GE J, et al. Wind power fluctuation suppression by doubly-fed variable-speed pumped storage unit[J]. Power Generation Technology, 2020, 41(4): 452-460.

沈汉铭, 俞夏欢. 用户侧分布式电化学储能的经济性分析[J]. 浙江电力, 2019, 38(5): 50-54.

SHEN H M, YU X H. Economic analysis of distributed electrochemical energy storage on the user-side[J]. Zhejiang Electric Power, 2019, 38(5): 50-54.

慈松, 李宏佳, 陈鑫, 等. 能源互联网重要基础支撑: 分布式储能技术的探索与实践[J]. 中国科学: 信息科学, 2014, 44(6): 762-773.

CI S, LI H J, CHEN X, et al. The cornerstone of energy internet: research and practice of distributed energy storage technology[J]. Scientia Sinica Informationis, 2014, 44(6): 762-773.

王松岑, 来小康, 程时杰. 大规模储能技术在电力系统中的应用前景分析[J]. 电力系统自动化, 2013, 37(1): 3-8.

WANG S C, LAI X K, CHEN S J. An analysis of prospects for application of large-scale energy storage technology in power system[J]. Automation of Electric Power Systems, 2013, 37(1): 3-8.

李建林, 田立亭, 来小康. 能源互联网背景下的电力储能技术展望[J]. 电力系统自动化, 2015, 39(23): 15-25.

LI J L, TIAN L T, LAI X K. Outlook of electrical energy storage technologies under energy internet background[J]. Automation of Electric Power Systems, 2015, 39(23): 15-25.

荆平, 徐桂芝, 赵波, 等. 面向全球能源互联网的大容量储能技术[J]. 智能电网, 2015, 3(6): 486-492.

JING P, XU G Z, ZHAO B, et al. Large-scale energy storage technology for global energy internet[J]. Smart Grid, 2015, 3(6): 486-492.

殷树刚, 苗培青, 拜克明, 等. 利用特高压输电技术提高全球能源使用效率[J]. 中国电力, 2010, 43(2): 1-5.

YIN S G, MIAO P Q, BAI K M, et al. To improve utilization efficiency of global energy resources through UHV power transmission technology[J]. Electric Power, 2010, 43(2): 1-5.

CHEN H, CONG T N, YANG W, et al. Progress in electrical energy storage system: a critical review[J]. Progress in Natural Science, 2009, 19: 291-312.

ZHAO H, WU Q, HU S, et al. Review of energy storage system for wind power integration support[J]. Applied Energy, 2015, 137: 545-553.

BEAUDIN M, ZAREIPOUR H, SCHELLENBERGLABE A, et al. Energy storage for mitigating the variability of renewable electricity sources: an updated review[J]. Energy for Sustainable Development, 2010, 14: 302-314.

FAIAS S, SANTOS P, SOUSA J, et al.An overview on short and long-term response energy storage devices for power systems application[EB/OL ] .(2018-08-29)[2020-09-01 ] . http://www.icrepq.com/icrepq-08/327-faias.pdf http://www.icrepq.com/icrepq-08/327-faias.pdf .

KALDELLIS J, ZAFIRAKIS D. Optimum energy storage techniques for the improvement of renewable energy sources-based electricity generation economic efficiency[J]. Energy, 2007, 32(12): 2295-2305.

DENHOLM P, KULCINSKI G L. Life cycle energy requirements and greenhouse gas emissions from large scale energy storage systems[J]. Energy Conversion Management, 2004, 45: 2153-2172.

SCHOENUNG S M.Characteristics and technologies for long-vs.short-term energy storage[EB/OL ] .(2018- 07-15)[2020-09-01 ] . https://prod-ng.sandia.gov/techlib-noauth/access-control.cgi/2001/010765.pdf https://prod-ng.sandia.gov/techlib-noauth/access-control.cgi/2001/010765.pdf .

RAHMAN M M, ONI A O, GEMECHU E, et al. Assessment of energy storage technologies: a review[J]. Energy Conversion Management, 2020, 223: 1-28.

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): 412-418.

MA S D, YANG J C, CUI C G, et al. Research on application of energy storage technology in energy internet[J]. Power Generation Technology, 2018, 39(5): 412-418.

中关村储能产业技术联盟. 储能产业研究白皮书[Z]. 北京: 中关村储能产业技术联盟, 2020.

China Energy Storage Alliance.Energy storage white paper[Z].Beijing: Zhongguancun Energy Storage Industry Technology Alliance, 2020.

张宁, 康重庆, 陈治坪, 等. 基于序列运算的风电可信容量计算方法[J]. 中国电机工程学报, 2011, 31(25): 1-9.

ZHANG N, KANG C Q, CHEN Z P, et al. Wind power credible capacity evaluation model based on sequence operation[J]. Proceedings of the CSEE, 2011, 31(25): 1-9.

MOLINAS M, VAZQUEZ S, TAKAKU T, et al.Improvement of transient stability margin in power systems with integrated wind generation using a STATCOM: an experimental verification[C]//2005 International Conference on Future Power Systems.IEEE, 2006.

高宁超. 风力发电容量可信度研究[D]. 北京: 华北电力大学, 2012.

GAO N C.Study on capacity credit of wind power generation[D].Beijing: North China Electric Power University, 2012.

冯长有, 姚伟锋, 江叶峰, 等. 特高压直流运行风险评估技术研究及应用[J]. 智慧电力, 2020, 48(7): 30-37.

FENG C Y, YAO W F, JIANG Y F, et al. Study and application of UHVDC operation risk evaluation[J]. Smart Power, 2020, 48(7): 30-37.

马燕君, 李海锋, 王钢. 同塔双回高压直流输电线路单极接地故障引发换相失败研究[J]. 广东电力, 2019, 32(11): 86-95.

MA Y J, LI H F, WANG G. Study on commutation failure caused by single pole to ground fault on double-circuit HVDC transmission lines of the same tower[J]. Guangdong Electric Power, 2019, 32(11): 86-95.

李明节. 大规模特高压交直流混联电网特性分析与运行控制[J]. 电网技术, 2016, 40(4): 985-991.

LI M J. Characteristic analysis and operational control of large-scale hybrid UHV AC/DC power grids[J]. Power System Technology, 2016, 40(4): 985-991.

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