Article(id=1322531305359782845, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322531228222337541, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.3.119, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1695225600000, receivedDateStr=2023-09-21, revisedDate=1701446400000, revisedDateStr=2023-12-02, acceptedDate=1704124800000, acceptedDateStr=2024-01-02, onlineDate=1793245634640, onlineDateStr=2026-10-29, pubDate=1774800000000, pubDateStr=2026-03-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793245634640, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793245634640, creator=13701087609, updateTime=1793245634640, updator=13701087609, issue=Issue{id=1322531228222337541, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='3', pageStart='1', pageEnd='343', issueExtLink='null', onlineDate='null', pubDate='1774800000000', pubDateStr='2026-03-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793245616250, creator='13701087609', updateTime=1793245616250, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=119, endPage=127, ext={EN=ArticleExt(id=1322531307150750654, articleId=1322531305359782845, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Configuration of Basic Responsiveness Capability of Energy Storage Based on Extreme Value Theory, columnId=1321491614980223555, journalTitle=Journal of Power Supply, columnName=Renewable Energy Generation and Energy Storage, runingTitle=null, highlight=null, articleAbstract=

With a focus on the research of energy storage configuration and aimed at the problems such as incomplete data and poor data quality of distributed photovoltaic output, a configuration method for the basic responsiveness capability of energy storage based on the extreme value theory is proposed. First, a probabilistic analysis method for distributed photovoltaic output based on generalized extreme value distribution is put forward, and the power data under different granularities of extreme value is fitted and analyzed. Second, with two goals of reducing the photovoltaic abandonment rate and smoothing the output fluctuation normally, the configuration method for the basic responsiveness capability of energy storage is proposed based on the return period and return level of distributed photovoltaic output. Finally, the feasibility and extensibility of the proposed method are verified by simulations of an example based on the output data of a distributed photovoltaic power station in a certain area. Results show that the generalized extreme value distribution can achieve a good fitting of distributed photovoltaic output distribution, and the dependence on data accuracy is minor. Meanwhile, the configuration results of the basic responsiveness capability of energy storage given by the proposed method agree with the minimum storage capacity requirements for photovoltaic projects in some provinces of China.

, authors=Xueting BAI, authorsList=Xueting BAI, authorCompany=null, correspAuthors=Xueting BAI, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322531307414991807, articleId=1322531305359782845, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于极值理论的储能基础响应能力配置, columnId=1321491615269630533, journalTitle=电源学报, columnName=新能源发电与储能, runingTitle=null, highlight=null, articleAbstract=

聚焦储能配置研究,针对分布式光伏出力数据不完备、数据质量差等痛点问题,提出了基于极值理论的储能基础响应能力配置方法。首先,提出了基于广义极值分布的分布式光伏出力概率性分析方法,并对不同极值颗粒度下的功率数据进行拟合分析;其次,面向减少弃光率和常态化平滑波动两大目标,基于对分布式光伏出力重现期和重现水平的分析计算,提出了储能基础响应能力配置方法;最后,以某地区分布式光伏电站出力数据进行算例仿真,验证了所提方法的可行性和可推广性。结果表明,广义极值分布能实现对分布式光伏出力分布的良好拟合,且对数据精度的依赖性较小。同时,所提方法给出的储能基础响应能力的配置结果,与中国部分省份对于光伏项目配储容量的最低要求不谋而合。

, authors=白雪婷, authorsList=白雪婷, authorCompany=null, correspAuthors=白雪婷, authorNote=null, correspAuthorsNote=
白雪婷(1995— ),女,通信作者,本科,工程师。研究方向:新能源及储能规划优化研究,电网主设备健康管理研究与应用。E-mail:。
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Tan Wenjuan, Chen Yandong, Yang Ling, et al. Energy coordinated control method for DC microgrid with photovoltaic[J]. Journal of Power Supply, 2018, 16(2): 76-85. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519072162597, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[2], rfOrder=1, authorNames=null, journalName=null, refType=null, unstructuredReference=杨立滨, 曹阳, 魏韡, 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. Yang Libin, Cao Yang, Wei Wei, 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. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519147660070, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[3], rfOrder=2, authorNames=null, journalName=null, refType=null, unstructuredReference=谢志佳, 李建林, 程伟, 等. 基于混合储能系统的风电跟踪目标出力优化控制[J]. 电源学报, 2018, 16(4): 28-34. Xie Zhijia, Li Jianlin, Cheng Wei, et al. Optimal control of wind power tracking dispatching plan based on hybrid energy storage system[J]. Journal of Power Supply, 2018, 16(4): 28-34. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519218963239, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[4], rfOrder=3, authorNames=null, journalName=null, refType=null, unstructuredReference=李建林, 李雅欣, 周喜超. 电网侧储能技术研究综述[J]. 电力建设, 2020, 41(6): 77-84. Li Jianlin, Li Yaxin, Zhou Xichao. Summary of research on grid-side energy storage technology[J]. Electric Power Construction, 2020, 41(6): 77-84. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519286072104, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[5], rfOrder=4, authorNames=null, journalName=null, refType=null, unstructuredReference=韩晓娟, 陈跃燕, 张浩, 等. 基于小波包分解的混合储能技术在平抑风电场功率波动中的应用[J]. 中国电机工程学报, 2013, 33(19): 8-13, 24. Han Xiaojuan, Chen Yueyan, Zhang Hao, et al. Application of hybrid energy storage technology based on wavelet packet decomposition in smoothing the fluctuations of wind power[J]. Proceedings of the CSEE, 2013, 33(19): 8-13, 24. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519353180969, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[6], rfOrder=5, authorNames=null, journalName=null, refType=null, unstructuredReference=李志强, 李赛, 王凡凯. 平抑风电波动的混合储能系统自适应控制策略[J]. 现代电力, 2020, 37(6): 646-653. Li Zhiqiang, Li Sai, Wang Fankai. Adaptive control strategy of hybrid energy storage system for mitigating wind power fluctuations[J]. Modern Electric Power, 2020, 37(6): 646-653. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519437067050, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[7], rfOrder=6, authorNames=null, journalName=null, refType=null, unstructuredReference=杨夯, 郭宜果, 李哲. 计及光伏工况的集中式发电场景下储能优化配置[J]. 电源学报, 2024, 22(S1): 116-126. Yang Hang, Guo Yiguo, Li Zhe. Optimal allocation of energy storage in centralized power generation scenarios considering photovoltaic working conditions[J]. Journal of Power Supply, 2024, 22(S1): 116-126. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519508370219, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[8], rfOrder=7, authorNames=null, journalName=null, refType=null, unstructuredReference=马兴, 李俊杰, 黎博, 等. 分布式储能参与电压暂降补偿的优化配置与控制策略[J]. 郑州大学学报(工学版), 2019, 40(5): 64-71. Ma Xing, Li Junjie, Li Bo, et al. Optimal allocation and control strategy of distributed energy storage system for compensating voltage sag[J]. Journal of Zhengzhou University (Engineering Science), 2019, 40(5): 64-71. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519588061996, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[9], rfOrder=8, authorNames=null, journalName=null, refType=null, unstructuredReference=毛志宇. 光伏发电中储能系统的容量配置及运行技术研究[D]. 北京: 华北电力大学, 2022. Mao Zhiyu. Research on capacity allocation and operation technology of energy storage system for photovoltaic power generation[D]. Beijing: North China Electric Power University, 2022. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519650976557, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[10], rfOrder=9, authorNames=null, journalName=null, refType=null, unstructuredReference=Bludszuweit H, Dominguez-Navarro J A. A probabilistic method for energy storage sizing based on wind power forecast uncertainty[J]. IEEE Transactions on Power Systems, 2011, 26(3): 1651-1658., articleTitle=null, refAbstract=null), Reference(id=1322531519713891118, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[11], rfOrder=10, authorNames=null, journalName=null, refType=null, unstructuredReference=欧书彬. 非仿射随机波动率模型的极值期权定价[D]. 桂林: 广西师范大学, 2023. Ou Shubin. Extremum options pricing under a non-affine stochastic volatility model[D]. Guilin: Guangxi Normal University, 2023. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519785194287, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[12], rfOrder=11, authorNames=null, journalName=null, refType=null, unstructuredReference=唐莉, 杨冰冰, 魏希, 等. 气候变化对江西省主汛期降雨极值时空差异的影响研究[J]. 水利水电技术(中英文), 2023, 54(1): 53-63. Tang Li, Yang Bingbing, Wei Xi, et al. Study on the impact of climate change on the extreme rainfall distribution in main flood season of Jiangxi province[J]. Water Resources and Hydropower Engineering, 2023, 54(1): 53-63. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519856497456, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[13], rfOrder=12, authorNames=null, journalName=null, refType=null, unstructuredReference=杜飞, 胡庆芳, 王银堂, 等. MSWEP对江苏省太湖流域日降水量和极值降水量的表征能力解析[J]. 水资源保护, 2023, 39(4): 167-175. Du Fei, Hu Qingfang, Wang Yintang, et al. Validation of MSWEP daily and extreme precipitation of the Taihu Lake Basin in Jiangsu province[J]. Water Resources Protection, 2023, 39(4): 167-175. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531519927800625, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[14], rfOrder=13, authorNames=null, journalName=null, refType=null, unstructuredReference=焦美菊, 郝建名, 陈露丹, 等. 基于长期监测的车辆荷载效应时变极值预测[J]. 郑州大学学报(工学版), 2023, 44(6): 105-111. Jiao Meiju, Hao Jianming, Chen Ludan, et al. Timevariant extreme value prediction of vehicle load effect based on long-term monitoring[J]. Journal of Zhengzhou University (Engineering Science), 2023, 44(6): 105-111. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520007492402, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[15], rfOrder=14, authorNames=null, journalName=null, refType=null, unstructuredReference=于群, 石良, 曹娜, 等. 广义极值理论在大停电事故损失负荷预测中的应用[J]. 电力系统自动化, 2016, 40(8): 71-77. Yu Qun, Shi Liang, Cao Na, et al. Application of generalized extreme value distribution in predicting power loss of large-scale blackouts[J]. Automation of Electric Power Systems, 2016, 40(8): 71-77. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520074601267, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[16], rfOrder=15, authorNames=null, journalName=null, refType=null, unstructuredReference=李杨. 运行风机荷载极值统计外推方法和经验公式研究[D]. 重庆: 重庆大学, 2022. Li Yang. Statistical extrapolation methods and empirical formulae for estimating extreme loads on operating wind turbine[D]. Chongqing: Chongqing University, 2022. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520137515828, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[17], rfOrder=16, authorNames=null, journalName=null, refType=null, unstructuredReference=吴涵, 王瑾辉, 苗安康, 等. 基于广义极值分布的线路负载率指标及计算方法[J]. 电网技术, 2023, 47(2): 773-783. Wu Han, Wang Jinhui, Miao Ankang, et al. Feeder burden rate and calculation method based on generalized extreme value distribution[J]. Power System Technology, 2023, 47(2): 773-783. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520200430389, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[18], rfOrder=17, authorNames=null, journalName=null, refType=null, unstructuredReference=陈淼, 贾科, 姚昆鹏, 等. 基于故障前行波极值时间的柔性直流线路单端量保护方法[J]. 中国电机工程学报, 2023, 43(10): 3742-3757. Chen Miao, Jia Ke, Yao Kunpeng, et al. Single-ended protection method of flexible DC line based on extremum time of fault forward traveling wave[J]. Proceedings of the CSEE, 2023, 43(10): 3742-3757. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520271733558, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[19], rfOrder=18, authorNames=null, journalName=null, refType=null, unstructuredReference=李妮妮, 徐付霞. 电力负荷量及气象影响因素的极值模型分析[J]. 哈尔滨商业大学学报(自然科学版), 2022, 38(1): 99-106. Li Nini, Xu Fuxia. Extreme value model analysis of power load and meteorological influencing factors[J]. Journal of Harbin University of Commerce (Natural Sciences Edition), 2022, 38(1): 99-106. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520351425335, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[20], rfOrder=19, authorNames=null, journalName=null, refType=null, unstructuredReference=张祥宇, 金召展, 付媛, 等. 基于频率变化极值时间的风电虚拟惯量约束与支撑控制[J]. 高电压技术, 2023, 49(6): 2491-2504. Zhang Xiangyu, Jin Zhaozhan, Fu Yuan, et al. Virtual inertia constrain and support control of wind turbines based on variable frequency limit time[J]. High Voltage Engineering, 2023, 49(6): 2491-2504. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520414339896, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[21], rfOrder=20, authorNames=null, journalName=null, refType=null, unstructuredReference=于群, 肖松青, 曹娜, 等. 基于超阈值模型的中国电网停电事故极值风险分析[J]. 山东大学学报(工学版), 2022, 52(6): 157-166, 175. Yu Qun, Xiao Songqing, Cao Na, et al. Extreme value risk analysis of blackout in China power grid based on over threshold model[J]. Journal of Shandong University (Engineering Science), 2022, 52(6): 157-166, 175. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520489837369, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[22], rfOrder=21, authorNames=null, journalName=null, refType=null, unstructuredReference=邓红雷, 周晨, 夏桥, 等. 基于多维极值分布的风雨荷载下输电线路风偏放电概率分析[J]. 电力科学与技术学报, 2021, 36(2): 67-75. Deng Honglei, Zhou Chen, Xia Qiao, et al. Probability analysis of windage yaw discharge under wind and rain loads based on the multidimensional extreme value distribution[J]. Journal of Electric Power Science and Technology, 2021, 36(2): 67-75. (in Chinese), articleTitle=null, refAbstract=null), Reference(id=1322531520552751930, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1322531305359782845, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[23], rfOrder=22, authorNames=null, journalName=null, refType=null, unstructuredReference=Trainer T. Limits to solar thermal energy set by intermittency and low DNI: Implications from meteorological data[J]. 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基于极值理论的储能基础响应能力配置
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白雪婷
电源学报 | 新能源发电与储能 2026,24(3): 119-127
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电源学报 |新能源发电与储能 2026 , 24 (3) : 119 -127
基于极值理论的储能基础响应能力配置
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白雪婷
作者信息
  • 北京智盟信通科技有限公司智能诊断事业部,北京 100176
通讯作者:
白雪婷(1995— ),女,通信作者,本科,工程师。研究方向:新能源及储能规划优化研究,电网主设备健康管理研究与应用。E-mail:。
Configuration of Basic Responsiveness Capability of Energy Storage Based on Extreme Value Theory
Xueting BAI
Affiliations
  • Intelligent Diagnostic Department, Beijing Zhimeng Information and Telecommunication Technology Company, Beijing 100176, China
出版时间: 2026-03-30 doi: 10.13234/j.issn.2095-2805.2026.3.119
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聚焦储能配置研究,针对分布式光伏出力数据不完备、数据质量差等痛点问题,提出了基于极值理论的储能基础响应能力配置方法。首先,提出了基于广义极值分布的分布式光伏出力概率性分析方法,并对不同极值颗粒度下的功率数据进行拟合分析;其次,面向减少弃光率和常态化平滑波动两大目标,基于对分布式光伏出力重现期和重现水平的分析计算,提出了储能基础响应能力配置方法;最后,以某地区分布式光伏电站出力数据进行算例仿真,验证了所提方法的可行性和可推广性。结果表明,广义极值分布能实现对分布式光伏出力分布的良好拟合,且对数据精度的依赖性较小。同时,所提方法给出的储能基础响应能力的配置结果,与中国部分省份对于光伏项目配储容量的最低要求不谋而合。

分布式光伏  /  广义极值分布  /  储能  /  重现期  /  重现水平

With a focus on the research of energy storage configuration and aimed at the problems such as incomplete data and poor data quality of distributed photovoltaic output, a configuration method for the basic responsiveness capability of energy storage based on the extreme value theory is proposed. First, a probabilistic analysis method for distributed photovoltaic output based on generalized extreme value distribution is put forward, and the power data under different granularities of extreme value is fitted and analyzed. Second, with two goals of reducing the photovoltaic abandonment rate and smoothing the output fluctuation normally, the configuration method for the basic responsiveness capability of energy storage is proposed based on the return period and return level of distributed photovoltaic output. Finally, the feasibility and extensibility of the proposed method are verified by simulations of an example based on the output data of a distributed photovoltaic power station in a certain area. Results show that the generalized extreme value distribution can achieve a good fitting of distributed photovoltaic output distribution, and the dependence on data accuracy is minor. Meanwhile, the configuration results of the basic responsiveness capability of energy storage given by the proposed method agree with the minimum storage capacity requirements for photovoltaic projects in some provinces of China.

Distributed photovoltaic  /  generalized extreme value distribution  /  energy storage  /  return period  /  return level
白雪婷. 基于极值理论的储能基础响应能力配置. 电源学报, 2026 , 24 (3) : 119 -127 . DOI: 10.13234/j.issn.2095-2805.2026.3.119
Xueting BAI. Configuration of Basic Responsiveness Capability of Energy Storage Based on Extreme Value Theory[J]. Journal of Power Supply, 2026 , 24 (3) : 119 -127 . DOI: 10.13234/j.issn.2095-2805.2026.3.119

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排序方式:
[1]
谭文娟, 陈燕东, 杨苓, 等. 光储直流微网能量协调控制方法[J]. 电源学报, 2018, 16(2): 76-85. Tan Wenjuan, Chen Yandong, Yang Ling, et al. Energy coordinated control method for DC microgrid with photovoltaic[J]. Journal of Power Supply, 2018, 16(2): 76-85. (in Chinese)
[2]
杨立滨, 曹阳, 魏韡, 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. Yang Libin, Cao Yang, Wei Wei, 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. (in Chinese)
[3]
谢志佳, 李建林, 程伟, 等. 基于混合储能系统的风电跟踪目标出力优化控制[J]. 电源学报, 2018, 16(4): 28-34. Xie Zhijia, Li Jianlin, Cheng Wei, et al. Optimal control of wind power tracking dispatching plan based on hybrid energy storage system[J]. Journal of Power Supply, 2018, 16(4): 28-34. (in Chinese)
[4]
李建林, 李雅欣, 周喜超. 电网侧储能技术研究综述[J]. 电力建设, 2020, 41(6): 77-84. Li Jianlin, Li Yaxin, Zhou Xichao. Summary of research on grid-side energy storage technology[J]. Electric Power Construction, 2020, 41(6): 77-84. (in Chinese)
[5]
韩晓娟, 陈跃燕, 张浩, 等. 基于小波包分解的混合储能技术在平抑风电场功率波动中的应用[J]. 中国电机工程学报, 2013, 33(19): 8-13, 24. Han Xiaojuan, Chen Yueyan, Zhang Hao, et al. Application of hybrid energy storage technology based on wavelet packet decomposition in smoothing the fluctuations of wind power[J]. Proceedings of the CSEE, 2013, 33(19): 8-13, 24. (in Chinese)
[6]
李志强, 李赛, 王凡凯. 平抑风电波动的混合储能系统自适应控制策略[J]. 现代电力, 2020, 37(6): 646-653. Li Zhiqiang, Li Sai, Wang Fankai. Adaptive control strategy of hybrid energy storage system for mitigating wind power fluctuations[J]. Modern Electric Power, 2020, 37(6): 646-653. (in Chinese)
[7]
杨夯, 郭宜果, 李哲. 计及光伏工况的集中式发电场景下储能优化配置[J]. 电源学报, 2024, 22(S1): 116-126. Yang Hang, Guo Yiguo, Li Zhe. Optimal allocation of energy storage in centralized power generation scenarios considering photovoltaic working conditions[J]. Journal of Power Supply, 2024, 22(S1): 116-126. (in Chinese)
[8]
马兴, 李俊杰, 黎博, 等. 分布式储能参与电压暂降补偿的优化配置与控制策略[J]. 郑州大学学报(工学版), 2019, 40(5): 64-71. Ma Xing, Li Junjie, Li Bo, et al. Optimal allocation and control strategy of distributed energy storage system for compensating voltage sag[J]. Journal of Zhengzhou University (Engineering Science), 2019, 40(5): 64-71. (in Chinese)
[9]
毛志宇. 光伏发电中储能系统的容量配置及运行技术研究[D]. 北京: 华北电力大学, 2022. Mao Zhiyu. Research on capacity allocation and operation technology of energy storage system for photovoltaic power generation[D]. Beijing: North China Electric Power University, 2022. (in Chinese)
[10]
Bludszuweit H, Dominguez-Navarro J A. A probabilistic method for energy storage sizing based on wind power forecast uncertainty[J]. IEEE Transactions on Power Systems, 2011, 26(3): 1651-1658.
[11]
欧书彬. 非仿射随机波动率模型的极值期权定价[D]. 桂林: 广西师范大学, 2023. Ou Shubin. Extremum options pricing under a non-affine stochastic volatility model[D]. Guilin: Guangxi Normal University, 2023. (in Chinese)
[12]
唐莉, 杨冰冰, 魏希, 等. 气候变化对江西省主汛期降雨极值时空差异的影响研究[J]. 水利水电技术(中英文), 2023, 54(1): 53-63. Tang Li, Yang Bingbing, Wei Xi, et al. Study on the impact of climate change on the extreme rainfall distribution in main flood season of Jiangxi province[J]. Water Resources and Hydropower Engineering, 2023, 54(1): 53-63. (in Chinese)
[13]
杜飞, 胡庆芳, 王银堂, 等. MSWEP对江苏省太湖流域日降水量和极值降水量的表征能力解析[J]. 水资源保护, 2023, 39(4): 167-175. Du Fei, Hu Qingfang, Wang Yintang, et al. Validation of MSWEP daily and extreme precipitation of the Taihu Lake Basin in Jiangsu province[J]. Water Resources Protection, 2023, 39(4): 167-175. (in Chinese)
[14]
焦美菊, 郝建名, 陈露丹, 等. 基于长期监测的车辆荷载效应时变极值预测[J]. 郑州大学学报(工学版), 2023, 44(6): 105-111. Jiao Meiju, Hao Jianming, Chen Ludan, et al. Timevariant extreme value prediction of vehicle load effect based on long-term monitoring[J]. Journal of Zhengzhou University (Engineering Science), 2023, 44(6): 105-111. (in Chinese)
[15]
于群, 石良, 曹娜, 等. 广义极值理论在大停电事故损失负荷预测中的应用[J]. 电力系统自动化, 2016, 40(8): 71-77. Yu Qun, Shi Liang, Cao Na, et al. Application of generalized extreme value distribution in predicting power loss of large-scale blackouts[J]. Automation of Electric Power Systems, 2016, 40(8): 71-77. (in Chinese)
[16]
李杨. 运行风机荷载极值统计外推方法和经验公式研究[D]. 重庆: 重庆大学, 2022. Li Yang. Statistical extrapolation methods and empirical formulae for estimating extreme loads on operating wind turbine[D]. Chongqing: Chongqing University, 2022. (in Chinese)
[17]
吴涵, 王瑾辉, 苗安康, 等. 基于广义极值分布的线路负载率指标及计算方法[J]. 电网技术, 2023, 47(2): 773-783. Wu Han, Wang Jinhui, Miao Ankang, et al. Feeder burden rate and calculation method based on generalized extreme value distribution[J]. Power System Technology, 2023, 47(2): 773-783. (in Chinese)
[18]
陈淼, 贾科, 姚昆鹏, 等. 基于故障前行波极值时间的柔性直流线路单端量保护方法[J]. 中国电机工程学报, 2023, 43(10): 3742-3757. Chen Miao, Jia Ke, Yao Kunpeng, et al. Single-ended protection method of flexible DC line based on extremum time of fault forward traveling wave[J]. Proceedings of the CSEE, 2023, 43(10): 3742-3757. (in Chinese)
[19]
李妮妮, 徐付霞. 电力负荷量及气象影响因素的极值模型分析[J]. 哈尔滨商业大学学报(自然科学版), 2022, 38(1): 99-106. Li Nini, Xu Fuxia. Extreme value model analysis of power load and meteorological influencing factors[J]. Journal of Harbin University of Commerce (Natural Sciences Edition), 2022, 38(1): 99-106. (in Chinese)
[20]
张祥宇, 金召展, 付媛, 等. 基于频率变化极值时间的风电虚拟惯量约束与支撑控制[J]. 高电压技术, 2023, 49(6): 2491-2504. Zhang Xiangyu, Jin Zhaozhan, Fu Yuan, et al. Virtual inertia constrain and support control of wind turbines based on variable frequency limit time[J]. High Voltage Engineering, 2023, 49(6): 2491-2504. (in Chinese)
[21]
于群, 肖松青, 曹娜, 等. 基于超阈值模型的中国电网停电事故极值风险分析[J]. 山东大学学报(工学版), 2022, 52(6): 157-166, 175. Yu Qun, Xiao Songqing, Cao Na, et al. Extreme value risk analysis of blackout in China power grid based on over threshold model[J]. Journal of Shandong University (Engineering Science), 2022, 52(6): 157-166, 175. (in Chinese)
[22]
邓红雷, 周晨, 夏桥, 等. 基于多维极值分布的风雨荷载下输电线路风偏放电概率分析[J]. 电力科学与技术学报, 2021, 36(2): 67-75. Deng Honglei, Zhou Chen, Xia Qiao, et al. Probability analysis of windage yaw discharge under wind and rain loads based on the multidimensional extreme value distribution[J]. Journal of Electric Power Science and Technology, 2021, 36(2): 67-75. (in Chinese)
[23]
Trainer T. Limits to solar thermal energy set by intermittency and low DNI: Implications from meteorological data[J]. Energy Policy, 2013, 63: 910-917.
2026年第24卷第3期
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doi: 10.13234/j.issn.2095-2805.2026.3.119
  • 接收时间:2023-09-21
  • 首发时间:2026-10-29
  • 出版时间:2026-03-30
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  • 收稿日期:2023-09-21
  • 修回日期:2023-12-02
  • 录用日期:2024-01-02
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    北京智盟信通科技有限公司智能诊断事业部,北京 100176

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白雪婷(1995— ),女,通信作者,本科,工程师。研究方向:新能源及储能规划优化研究,电网主设备健康管理研究与应用。E-mail:。
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2种不同金属材料的力学参数
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Family
属数
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genus
种数
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species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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