[1] 国家能源局.2021年全国电力工业统计数据 [EB/OL].(2022-01-26) [2022-08-22]. http://www.nea.gov.cn/2022-01/26/c1310441589.htm.

National Energy Administration. National power industry statistics in 2021 [EB/OL].(2022-01-26) [2022-08-22]. http://www.nea.gov.cn/2022-01/26/c1310441589.htm.
[2] 杜忠明.“十四五”期间 中国新能源装机占比将提升至35%左右[N].中国改革报, 2021-8-24(6)

DU Z M. China's installed capacity of new energy will increase to about 35% during the 14th Five-Year Plan period [N]. China Reform Daily, 2021-8-24(6).
[3] 何可欣, 马速良, 马壮, 等. 储能技术发展态势及政策环境分析 [J]. 分布式能源, 2021, 6(6): 45-52. DOI:  10.16513/j.2096-2185.de.2106602.

HE K X, MA S L, MA Z, et al. Energy storage technology development trend and policy environment analysis [J]. Distributed Energy, 2021, 6(6): 45-52. DOI:  10.16513/j.2096-2185.de.2106602.
[4] 李相俊, 马会萌, 姜倩. 新能源侧储能配置技术研究综述 [J]. 中国电力, 2022, 55(1): 13-25. DOI:  10.11930/j.issn.1004-9649.202109032.

LI X J, MA H M, JIANG Q. Review of energy storage configuration technology on renewable energy side [J]. Electric Power, 2022, 55(1): 13-25. DOI:  10.11930/j.issn.1004-9649.202109032.
[5] 金鑫, 王凯. 平滑新能源波动的混合储能优化配置 [J]. 广东电力, 2021, 34(8): 80-85. DOI:  10.3969/j.issn.1007-290x.2021.008.010.

JIN X, WANG K. Optimal allocation of hybrid energy storage to smooth fluctuation of new energy [J]. Southern Power System Technology, 2021, 34(8): 80-85. DOI:  10.3969/j.issn.1007-290x.2021.008.010.
[6] LI X, HUI D, LAI X. Battery energy storage station(BESS)based smoothing control of photovoltaic(PV) and wind power eneration fluctuations [J]. IEEE Transactions on Sustainable Energy, 2013, 4(2): 464-473. doi:  10.1109/TSTE.2013.2247428
[7] 郑浩, 谢丽蓉, 叶林, 等. 考虑光伏双平价指标的混合储能平滑出力波动策略 [J]. 电工技术学报, 2021, 36(9): 1805-1817. DOI:  10.19595/j.cnki.1000-6753.tces.201058.

ZHEGN H, XIE L R, YE L, et al. Hybrid energy storage smoothing output fluctuation strategy considering photovoltaic dual evaluation indicators [J]. Transaction of China Electrotechnical Society, 2021, 36(9): 1805-1817. DOI:  10.19595/j.cnki.1000-6753.tces.201058.
[8] 叶瑞丽, 郭志忠, 刘瑞叶, 等. 基于风电功率预测误差分析的风电场储能容量优化方法 [J]. 电力系统自动化, 2014, 38(16): 28-34. DOI:  10.7500/aeps20130603009.

YE R L, GUO Z Z, LIU R Y, et al. A method for designing optimal energy storage system based on analysis of wind power forecast error [J]. Automation of Electric Power Systems, 2014, 38(16): 28-34. DOI:  10.7500/aeps20130603009.
[9] 石涛, 张斌, 晁勤, 等. 兼顾平抑风电波动和补偿预测误差的混合储能容量经济配比与优化控制 [J]. 电网技术, 2016, 40(2): 477-483. DOI:  10.13335/j.1000-3673.pst.2016.02.021.

SHI T, ZHANGB B, CHAO Q, et al. Economic storage ratio andoptimal control of hybrid energy capacity combining stabilized wind power fluctuations with compensated predictive errors [J]. Power System Technology, 2016, 40(2): 477-483. DOI:  10.13335/j.1000-3673.pst.2016.02.021.
[10] 杨丘帆, 王琛淇, 魏俊红, 等. 提升电网惯性与一次调频性能的储能容量配置方法 [J]. 电力建设, 2020, 41(10): 116-124. DOI:  10.12204/j.issn.1000-7229.2020.10.013.

YANG Q F, WANG S Q, WEI J H, et al. Capacity allocation of energy storage system for improving grid inertia and primary frequency regulation [J]. Electric Power Construction, 2020, 41(10): 116-124. DOI:  10.12204/j.issn.1000-7229.2020.10.013.
[11] 孙培锋, 冯云岗, 卢海勇, 等. 新能源发电工程储能系统容量/功率优化配置 [J]. 上海节能, 2021(1): 98-103. DOI:  10.13770/j.cnki.issn2095-705x.2021.01.018.

SUN P F, FENG Y G, LU H Y, et al. Capacity and power optimization method of energy storage device in new energy power generation project [J]. Shanghai Energy Conservation, 2021(1): 98-103. DOI:  10.13770/j.cnki.issn2095-705x.2021.01.018.
[12] 张宝锋, 童博, 冯仰敏, 等. 电化学储能在新能源发电侧的应用分析 [J]. 热力发电, 2020, 49(8): 13-18. DOI:  10.19666/j.rlfd.202004120.

ZHANG B F, TONG B, FENG Y M, et al. Application analysis of electrochemical energy storage technology in new energy power generation side [J]. Thermal Power Generation, 2020, 49(8): 13-18. DOI:  10.19666/j.rlfd.202004120.
[13] 李德鑫, 王佳蕊, 张家郡. 降低弃光率的光伏储能系统需求研究 [J]. 电器与能效管理技术, 2020(10): 36-40+63. DOI:  10.16628/j.cnki.2095-8188.2020.10.006.

LI D X, WANG J R, ZHANG J J. Research on demand of photovoltaic energy storage system for reducing abandonment rate [J]. Electrical & Energy Management Technology, 2020(10): 36-40+63. DOI:  10.16628/j.cnki.2095-8188.2020.10.006.
[14] 古宸嘉, 王建学, 李清涛, 等. 新能源集中并网下大规模集中式储能规划研究述评 [J]. 中国电力, 2022, 55(1): 2-12+83. DOI:  10.11930/j.issn.1004-9649.202105017.

GU C J, WANG J X, LI Q T, et al. Review on large-scale centralized energy storage planning under centralized grid integration of renewable energy [J]. Electric Power, 2022, 55(1): 2-12+83. DOI:  10.11930/j.issn.1004-9649.202105017.
[15] 李红霞, 李建林, 米阳. 新能源侧储能优化配置技术研究进展 [J]. 储能科学与技术, 2022, 11(10): 3257-3267. DOI:  10.19799/j.cnki.2095-4239.2022.0102.

LI H X, LI J L, MI Y. Summary of research on new energy side energy storage optimization configuration technology [J]. Energy Storage Science and Technology, 2022, 11(10): 3257-3267. DOI:  10.19799/j.cnki.2095-4239.2022.0102.
[16] 杨立滨, 曹阳, 魏桦, 等. 计及风电不确定性和弃风率约束的风电场储能容量配置方法 [J]. 电力系统自动化, 2020, 44(16): 45-52. DOI:  10.7500/aeps20200224004.

YANG L B, CAO Y, WEI W, et al. Configuration method of energy storage for wind farms considering wind power uncertainty and wind curtailment constraint [J]. Automation of Electric Power Systems, 2020, 44(16): 45-52. DOI:  10.7500/aeps20200224004.
[17] 唐坚, 苏剑涛, 姚禹歌, 等. 面向新型电力系统的风电调频技术分析 [J]. 热力发电, 2022, 51(7): 1-8. DOI:  10.19666/j.rlfd.202202027.

TANG J, SU J T, YAO Y G, et al. Technical analysis of power system frequency regulation by wind power for new power system [J]. Thermal Power Generation, 2022, 51(7): 1-8. DOI:  10.19666/j.rlfd.202202027.
[18] 高啸天, 匡俊, 楚攀, 等. 化学电源及其在储能领域的应用 [J]. 南方能源建设, 2020, 7(4): 1-10. DOI:  10.16516/j.gedi.issn2095-8676.2020.04.001.

GAO X T, KUANG J, CHU P, et al. Chemical power sources and their applications in energy storage fields [J]. Southern Energy Construction, 2020, 7(4): 1-10. DOI:  10.16516/j.gedi.issn2095-8676.2020.04.001.
[19] 张东辉, 徐文辉, 门锟, 等. 储能技术应用场景和发展关键问题 [J]. 南方能源建设, 2019, 6(3): 1-5. DOI:  10.16516/j.gedi.issn2095-8676.2019.03.001.

ZHANG D H, XU W H, MEN K, et al. Application scenarios of energy storage and its key issues in development [J]. Southern Energy Construction, 2019, 6(3): 1-5. DOI:  10.16516/j.gedi.issn2095-8676.2019.03.001.
[20] 罗佑坤, 乔志园, 辛晟. 南方电网电池储能技术应用及发展机会探讨 [J]. 水电与新能源, 2020, 34(9): 16-20. DOI:  10.13622/j.cnki.cn42-1800/tv.1671-3354.2020.09.005.

LUO Y K, QIAO Z Y, XIN S. Application and development opportunities of the battery energy storage technology in China southern power grid [J]. Hydropower and new energy, 2020, 34(9): 16-20. DOI:  10.13622/j.cnki.cn42-1800/tv.1671-3354.2020.09.005.