Article(id=1321491646416532241, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491612593664576, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.1.182, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1684771200000, receivedDateStr=2023-05-23, revisedDate=1688745600000, revisedDateStr=2023-07-08, acceptedDate=1693584000000, acceptedDateStr=2023-09-02, onlineDate=1792997760633, onlineDateStr=2026-10-26, pubDate=1769702400000, pubDateStr=2026-01-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792997760633, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792997760633, creator=13701087609, updateTime=1792997760633, updator=13701087609, issue=Issue{id=1321491612593664576, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='1', pageStart='1', pageEnd='346', issueExtLink='null', onlineDate='null', pubDate='1769702400000', pubDateStr='2026-01-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792997752568, creator='13701087609', updateTime=1792998003208, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321492663950487647, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491612593664576, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321492663950487648, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491612593664576, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=182, endPage=189, ext={EN=ArticleExt(id=1321491646613664530, articleId=1321491646416532241, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Wind Power Fluctuation Smoothing Based on Improved Wavelet Packet Method, columnId=1321491614980223555, journalTitle=Journal of Power Supply, columnName=Renewable Energy Generation and Energy Storage, runingTitle=null, highlight=null, articleAbstract=

Aimed at the problem of over-smoothing in the process of wind power fluctuation smoothing by means of traditional wavelet packet decomposition, an improved wavelet packet decomposition method is proposed based on the time-frequency analysis by introducing the smoothing coefficients of high-frequency components. First, the set of time when the power fluctuation crosses the limit is found, and the components ineach frequency band are obtained using the traditional wavelet packet decomposition. Then, the optimal smoothing coefficients are determined based on an objective function and constraints, and the power components in the set of limit-crossing time are suppressed in turn, starting from the highest-frequency components until the fluctuation limits under the two time windows are satisfied. Finally, the smoothing effect is evaluated. Through the simulation analysis of an example, it is verified that under the premise of satisfying the fluctuation limits, the improved wavelet packet method can reduce the charge and discharge accumulation of energy storage and maintain the power output level of energy storage in a better state under different scenarios.

, authors=Shengpeng SANG, Kaiming SHI, Kai LI, Shitong CAO, Yuliang GOU, authorsList=Shengpeng SANG, Kaiming SHI, Kai LI, Shitong CAO, Yuliang GOU, authorCompany=null, correspAuthors=Kaiming SHI, 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=1321491647096009493, articleId=1321491646416532241, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于改进小波包方法的风电功率波动平抑, columnId=1321491615269630533, journalTitle=电源学报, columnName=新能源发电与储能, runingTitle=null, highlight=null, articleAbstract=

针对传统小波包分解在风电功率波动平抑过程中存在过度平抑的问题,在时频分析的基础上,引入高频分量的平抑系数,提出1种改进的小波包分解方法。首先,找出功率波动越限的时间集合,利用传统小波包分解得到各个频段的分量;其次,通过目标函数和约束条件确定最佳平抑系数,从最高频分量开始依次对越限时间集合内的功率分量进行平抑,直到满足2种时间窗口下的波动限制;最后,对平抑效果进行评价。经算例仿真分析,在不同场景中改进的小波包方法在满足波动限制的前提下,均可以降低储能的充放电累积量,并使储能的出力水平维持在较好的状态。

, authors=桑盛鹏中国电源学会会员, 石开明, 李凯, 曹仕通, 苟于亮, authorsList=桑盛鹏中国电源学会会员, 石开明, 李凯, 曹仕通, 苟于亮, authorCompany=null, correspAuthors=石开明, authorNote=

桑盛鹏(1998— ),男,中国电源学会会员,硕士研究生。研究方向:电力系统规划运行与新能源发电。E-mail:。

李凯(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

曹仕通(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

苟于亮(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

, correspAuthorsNote=
石开明(1970— ),男,通信作者,本科,副教授。研究方向:电气设备状态监测与故障诊断,电力系统规划运行与新能源发电研究。E-mail:。
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桑盛鹏(1998— ),男,中国电源学会会员,硕士研究生。研究方向:电力系统规划运行与新能源发电。E-mail:。

"}, bioImg=null, bioContent=

桑盛鹏(1998— ),男,中国电源学会会员,硕士研究生。研究方向:电力系统规划运行与新能源发电。E-mail:。

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李凯(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

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李凯(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

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曹仕通(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

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曹仕通(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

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苟于亮(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

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苟于亮(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

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基于改进小波包方法的风电功率波动平抑
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桑盛鹏中国电源学会会员 , 石开明 , 李凯 , 曹仕通 , 苟于亮
电源学报 | 新能源发电与储能 2026,24(1): 182-189
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电源学报 |新能源发电与储能 2026 , 24 (1) : 182 -189
基于改进小波包方法的风电功率波动平抑
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桑盛鹏中国电源学会会员 , 石开明 , 李凯 , 曹仕通 , 苟于亮
作者信息
  • 内蒙古工业大学电力学院,呼和浩特 010080
通讯作者:
石开明(1970— ),男,通信作者,本科,副教授。研究方向:电气设备状态监测与故障诊断,电力系统规划运行与新能源发电研究。E-mail:。
作者简介:

桑盛鹏(1998— ),男,中国电源学会会员,硕士研究生。研究方向:电力系统规划运行与新能源发电。E-mail:。

李凯(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

曹仕通(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

苟于亮(1999— ),男,硕士研究生。研究方向:电力系统规划运行与新能源发电研究。E-mail:。

Wind Power Fluctuation Smoothing Based on Improved Wavelet Packet Method
Shengpeng SANG Member, CPSS , Kaiming SHI , Kai LI , Shitong CAO , Yuliang GOU
Affiliations
  • College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China
出版时间: 2026-01-30 doi: 10.13234/j.issn.2095-2805.2026.1.182
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针对传统小波包分解在风电功率波动平抑过程中存在过度平抑的问题,在时频分析的基础上,引入高频分量的平抑系数,提出1种改进的小波包分解方法。首先,找出功率波动越限的时间集合,利用传统小波包分解得到各个频段的分量;其次,通过目标函数和约束条件确定最佳平抑系数,从最高频分量开始依次对越限时间集合内的功率分量进行平抑,直到满足2种时间窗口下的波动限制;最后,对平抑效果进行评价。经算例仿真分析,在不同场景中改进的小波包方法在满足波动限制的前提下,均可以降低储能的充放电累积量,并使储能的出力水平维持在较好的状态。

风电功率  /  小波包分解  /  波动平抑  /  平抑系数  /  储能

Aimed at the problem of over-smoothing in the process of wind power fluctuation smoothing by means of traditional wavelet packet decomposition, an improved wavelet packet decomposition method is proposed based on the time-frequency analysis by introducing the smoothing coefficients of high-frequency components. First, the set of time when the power fluctuation crosses the limit is found, and the components ineach frequency band are obtained using the traditional wavelet packet decomposition. Then, the optimal smoothing coefficients are determined based on an objective function and constraints, and the power components in the set of limit-crossing time are suppressed in turn, starting from the highest-frequency components until the fluctuation limits under the two time windows are satisfied. Finally, the smoothing effect is evaluated. Through the simulation analysis of an example, it is verified that under the premise of satisfying the fluctuation limits, the improved wavelet packet method can reduce the charge and discharge accumulation of energy storage and maintain the power output level of energy storage in a better state under different scenarios.

Wind power  /  wavelet packet decomposition  /  fluctuation smoothing  /  smoothing coefficient  /  energy storage
桑盛鹏中国电源学会会员, 石开明, 李凯, 曹仕通, 苟于亮. 基于改进小波包方法的风电功率波动平抑. 电源学报, 2026 , 24 (1) : 182 -189 . DOI: 10.13234/j.issn.2095-2805.2026.1.182
Shengpeng SANG, Kaiming SHI, Kai LI, Shitong CAO, Yuliang GOU. Wind Power Fluctuation Smoothing Based on Improved Wavelet Packet Method[J]. Journal of Power Supply, 2026 , 24 (1) : 182 -189 . DOI: 10.13234/j.issn.2095-2805.2026.1.182

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2026年第24卷第1期
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doi: 10.13234/j.issn.2095-2805.2026.1.182
  • 接收时间:2023-05-23
  • 首发时间:2026-10-26
  • 出版时间:2026-01-30
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  • 收稿日期:2023-05-23
  • 修回日期:2023-07-08
  • 录用日期:2023-09-02
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    内蒙古工业大学电力学院,呼和浩特 010080

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石开明(1970— ),男,通信作者,本科,副教授。研究方向:电气设备状态监测与故障诊断,电力系统规划运行与新能源发电研究。E-mail:。
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2种不同金属材料的力学参数
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属
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species
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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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