Article(id=1284794237262741614, tenantId=1146029695717560320, journalId=1283840536528293913, issueId=1284794217658560734, articleNumber=null, orderNo=null, doi=10.19912/j.0254-0096.tynxb.2025-0087, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736784000000, receivedDateStr=2025-01-14, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1784248416485, onlineDateStr=2026-07-17, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1784248416485, onlineIssueDateStr=2026-07-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1784248416485, creator=13701087609, updateTime=1784248416485, updator=13701087609, issue=Issue{id=1284794217658560734, tenantId=1146029695717560320, journalId=1283840536528293913, year='2026', volume='47', issue='6', pageStart='1', pageEnd='814', issueExtLink='null', onlineDate='null', pubDate='1783180800000', pubDateStr='2026-07-05', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1784248411812, creator='13701087609', updateTime=1784252840208, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1284812791785689442, tenantId=1146029695717560320, journalId=1283840536528293913, issueId=1284794217658560734, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1284812791785689443, tenantId=1146029695717560320, journalId=1283840536528293913, issueId=1284794217658560734, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=316, endPage=326, ext={EN=ArticleExt(id=1284794239150178416, articleId=1284794237262741614, tenantId=1146029695717560320, journalId=1283840536528293913, language=EN, title=CONTROL STRATEGY FOR STABILIZING POWER FLUCTUATIONS BY UTILIZING LARGE ROTATIONAL INERTIA OF WIND TURBINE BLADE, columnId=null, journalTitle=Acta Energiae Solaris Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=A power smoothing strategy without energy storage system by utilizing the large rotational inertia of the wind turbine rotor to achieve power smoothing is proposed to solve the problem of output power fluctuations of modern large-scale wind turbines under rated wind speed. Firstly, the inherent characteristics of the wind turbines are employed to provide an immediate and accurate equivalent wind speed for control participation. Secondly, the upper and lower limits of the rotational speed are set for each wind speed segment based on high aerodynamic efficiency zone and wide speed-ratio design, and the entire inertia control process is given simultaneously to achieve the energy storage and release of the wind turbine rotor. Subsequently, multiple prediction models based on the slope of the wind speed pulsation trend are constructed via big data sources to realize the predictive action of the torque. Finally, the comparative simulation experiments of the power output of the wind turbine are carried out by BLADED simulation software and a certain actual wind farm. The results show that the adopted strategy stabilizes the output power effectively without the additional energy storage devices., authors=Yang Huanhong1, Zheng Ying1, Jia Dajiang2, authorsList=Yang Huanhong, Zheng Ying, Jia Dajiang, authorCompany=1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. China Institute of Water Resources and Hydropower Research , Beijing 100038, China, correspAuthors=null, 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=1284794237493428335, articleId=1284794237262741614, tenantId=1146029695717560320, journalId=1283840536528293913, language=CN, title=一种利用风电机组风轮大转动惯量平抑功率波动的控制策略, columnId=null, journalTitle=太阳能学报, columnName=null, runingTitle=null, highlight=null, articleAbstract=针对现代大型风力发电机组在额定风速以下的输出功率波动问题,提出一种利用风轮大转动惯量实现无储能系统的功率平抑策略。首先利用风电机组本身特性给出具有即时性的精确等效风速参与控制;通过基于高气动效率区宽速比的叶片设计对每段风速设置转速上下限,同时给出整个惯量控制过程,实现风轮的能量储存和释放;通过大数据构建多个基于风速脉动趋势斜率的预判模型,实现转矩预判动作。最后,在专业仿真软件Bladed和实际某风场中进行功率输出对比仿真和实验。其结果表明,所采用的策略在不外加储能设备的情况下,有效平稳了风力发电机组的输出功率。, authors=杨欢红1, 郑颖1, 贾大江2, authorsList=杨欢红, 郑颖, 贾大江, authorCompany=1.上海电力大学电气工程学院,上海 200090;
2.中国水利水电科学研究院,北京 100038, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=PwA0/3Xp3eeq7I7Qma+UoA==, pdfFileSize=2150179, 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=国家自然科学基金(52177100))}, authors=null, keywords=[Keyword(id=1284813612820710029, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=CN, orderNo=1, keyword=风电功率), Keyword(id=1284813612904596111, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=CN, orderNo=2, keyword=风速), Keyword(id=1284813612988482191, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=CN, orderNo=3, keyword=风轮叶片), Keyword(id=1284813613076562576, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=CN, orderNo=4, keyword=叶尖速比), Keyword(id=1284813613143671441, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=CN, orderNo=5, keyword=转动惯量), Keyword(id=1284813613227557522, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=CN, orderNo=6, keyword=大数据), Keyword(id=1284813613386941075, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=EN, orderNo=1, keyword=wind power), Keyword(id=1284813615031108245, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=EN, orderNo=2, keyword=wind speed), Keyword(id=1284813615098217110, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=EN, orderNo=3, keyword=wind turbine blades), Keyword(id=1284813615182103191, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=EN, orderNo=4, keyword=tip-speed ratio), Keyword(id=1284813615240823448, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=EN, orderNo=5, keyword=rotational of inertia), Keyword(id=1284813615307932313, tenantId=1146029695717560320, journalId=1283840536528293913, articleId=1284794237262741614, language=EN, orderNo=6, keyword=big data)], refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=Journal(id=1283840120415588372, delFlag=0, nameCn=太阳能学报, nameEn=Acta Energiae Solaris Sinica, nameHistory1=null, nameHistory2=null, issn=0254-0096, eissn=null, cn=11-2082/TK, coden=null, periodic=0, language=CN, oaType=null, ccby=null, superviseOffice=null, ownerOffice=null, pubOffice=null, editorOffice=null, officeType=null, aims=null, clcCode=null, officeProv=null, officeCity=null, officeAddr=null, officeZip=null, officeEmail=null, officePhone=null, editDirector=null, officeDirector=null, officeDirectorPhone=null, officeStaffNum=null, officeEmpNum=null, coverPicUrl=Zs2ilQTekqeGHL8WIvXA2w==, journalPrice=null, startedYear=null, abbrevIsoEn=Acta Energiae Solaris Sinica, journalRemark=null, publicationField=null, createdTime=1784020937305, updatedTime=1784022579586, createdBy=18614031015, updatedBy=13701087609, firstLetterCn=T, firstLetterEn=T, subjectCode=Natural Sciences, subjectName=null, subjectCodeEn=Natural Sciences, subjectNameEn=null, picCn=Zs2ilQTekqeGHL8WIvXA2w==, picEn=zLimPXPa1qYx2Uzl1NlG8A==, jcr=null, cjcr=null, exts=[JournalExt(id=1283847008716832954, language=CN, name=太阳能学报, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=, createdTime=1784022579602, updatedTime=1784022579602, createdBy=13701087609, updatedBy=13701087609, submissionGuidelinesUrl=, submissionAuthorUrl=https://tynxbauthor.manuscriptcloud.com, submissionEditorUrl=https://tynxbeditor.manuscriptcloud.com, submissionReviewUrl=https://tynxbauthor.manuscriptcloud.com, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""}), JournalExt(id=1283847008754581691, language=EN, name=Acta Energiae Solaris Sinica, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=, createdTime=1784022579611, updatedTime=1784022579611, createdBy=13701087609, updatedBy=13701087609, submissionGuidelinesUrl=, submissionAuthorUrl=https://tynxbauthor.manuscriptcloud.com, submissionEditorUrl=https://tynxbeditor.manuscriptcloud.com, submissionReviewUrl=https://tynxbauthor.manuscriptcloud.com, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""})], databaseList=null, tenantJournalId=1283840536528293913, websiteList=[Website(id=1283840757282881936, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1283840536528293913, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/tynxb/CN, language=CN, createTime=1784021089145, createBy=18614031015, updateTime=1784023280225, updateBy=18614031015, name=太阳能学报-中文, tplId=1146099689490845704, title=太阳能学报, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1283850081891762767, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=articleTextType, value=kx, createTime=1784023312304, updateTime=1784023312304, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081858208332, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=banner, value=null, createTime=1784023312296, updateTime=1784023312296, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081921122898, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=grayFlag, value=0, createTime=1784023312311, updateTime=1784023312311, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081845625419, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=logo, value=https://castjournals.cast.org.cn/joweb/tynxb/CN/file/pic?fileId=GOfbvs6trl8nNCBc9NZ5kw==, createTime=1784023312293, updateTime=1784023312293, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081937900116, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=minRunFlag, value=0, createTime=1784023312315, updateTime=1784023312315, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081879179854, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/tynxb/CN/file/pic, createTime=1784023312301, updateTime=1784023312301, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081929511507, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=silenceFlag, value=0, createTime=1784023312313, updateTime=1784023312313, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081870791245, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_cn_619/, createTime=1784023312299, updateTime=1784023312299, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081904345680, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=themeColor, value=null, createTime=1784023312307, updateTime=1784023312307, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850081912734289, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757282881936, code=themeStyle, value=null, createTime=1784023312309, updateTime=1784023312309, creator=18614031015, updator=18614031015)]), Website(id=1283840757341602181, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1283840536528293913, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/tynxb/EN, language=EN, createTime=1784021089158, createBy=18614031015, updateTime=1784023275095, updateBy=18614031015, name=太阳能学报-英文, tplId=1146101810881728533, title=Acta Energiae Solaris Sinica, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1283850047477498430, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=articleTextType, value=kx, createTime=1784023304099, updateTime=1784023304099, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047456526907, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=banner, value=null, createTime=1784023304094, updateTime=1784023304094, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047494275649, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=grayFlag, value=0, createTime=1784023304103, updateTime=1784023304103, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047448138298, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=logo, value=https://castjournals.cast.org.cn/joweb/tynxb/EN/file/pic?fileId=GOfbvs6trl8nNCBc9NZ5kw==, createTime=1784023304092, updateTime=1784023304092, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047506858563, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=minRunFlag, value=0, createTime=1784023304106, updateTime=1784023304106, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047469109821, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/tynxb/EN/file/pic, createTime=1784023304097, updateTime=1784023304097, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047498469954, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=silenceFlag, value=0, createTime=1784023304104, updateTime=1784023304104, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047464915516, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_en_623/, createTime=1784023304096, updateTime=1784023304096, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047481692735, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=themeColor, value=null, createTime=1784023304100, updateTime=1784023304100, creator=18614031015, updator=18614031015), WebsiteProps(id=1283850047490081344, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1283840757341602181, code=themeStyle, value=null, createTime=1784023304102, updateTime=1784023304102, creator=18614031015, updator=18614031015)])], journalTitle=太阳能学报, weixinUrl=null, journalUrl=https://www.tynxb.org.cn/, iacademicId=null, status=1, seqNo=null, journalTitleEn=Acta Energiae Solaris Sinica, journalPhotoCn=Zs2ilQTekqeGHL8WIvXA2w==, journalPhotoEn=zLimPXPa1qYx2Uzl1NlG8A==, journalFirstLetter=T, journalRecommend=null, journalNew=null, journalCollection=null, jcrJf=null, cjcrJf=null, jcrJfStr=null, cjcrJfStr=null, submissionFirstDecision=null, sciSubjectClassification=null, casSubjectClassification=null, citeScore=null, totalCitationFrequency=null, icpCode=null, psCode=null, advertisingLicenseCode=null, copyrightInformation=null, country=null, option=, provinceCode=null, provinceName=null, collectFlag=false, interPubPlatform=, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/tynxb/CN/10.19912/j.0254-0096.tynxb.2025-0087, detailUrlEn=https://castjournals.cast.org.cn/joweb/tynxb/EN/10.19912/j.0254-0096.tynxb.2025-0087, pdfUrlCn=https://castjournals.cast.org.cn/joweb/tynxb/CN/PDF/10.19912/j.0254-0096.tynxb.2025-0087, pdfUrlEn=https://castjournals.cast.org.cn/joweb/tynxb/EN/PDF/10.19912/j.0254-0096.tynxb.2025-0087, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1783180800000, fullTextJson=null, articleText=null, reference=[1] TANG M N, WANG W J, ZHEN X F, et al.Robust control of wind turbines to reduce wind power fluctuation[J]. Energy science & engineering, 2024, 12(5): 1818-1834.
[2] 周皓, 李军徽, 葛长兴, 等. 改善风电并网电能质量的飞轮储能系统能量管理系统设计[J]. 太阳能学报, 2021, 42(3): 105-113.
ZHOU H, LI J H, GE C X, et al.Research on improving power quality of wind power system based on energy management system of flywheel energy storage system[J]. Acta energiae solaris sinica, 2021, 42(3): 105-113.
[3] 聂永辉, 张丽丽, 张立栋, 等. 一种基于VSG的风电机组与飞轮储能协调控制方法[J]. 太阳能学报, 2021, 42(8): 387-393.
NIE Y H, ZHANG L L, ZHANG L D, et al.A VSG-based coordinated control method for wind turbine and flywheel energy storage[J]. Acta energiae solaris sinica, 2021, 42(8): 387-393.
[4] 陈玉龙, 武鑫, 滕伟, 等. 用于风电功率平抑的飞轮储能阵列功率协调控制策略[J]. 储能科学与技术, 2022, 11(2): 600-608.
CHEN Y L, WU X, TENG W, et al.Power coordinated control strategy of flywheel energy storage array for wind power smoothing[J]. Energy storage science and technology, 2022, 11(2): 600-608.
[5] 武鑫, 李洋涛, 马志勇, 等. 基于改进小波包分解的混合储能系统容量配置方法[J]. 太阳能学报, 2023, 44(8): 23-29.
WU X, LI Y T, MA Z Y, et al.Capacity configuration method of hybrid energy storage system based on improved wavelet packet decomposition[J]. Acta energiae solaris sinica, 2023, 44(8): 23-29.
[6] WANG X, ZHOU J S, QIN B, et al.Coordinated power smoothing control strategy of multi-wind turbines and energy storage systems in wind farm based on MADRL[J]. IEEE transactions on sustainable energy, 2024, 15(1): 368-380.
[7] WAN C, QIAN W T, ZHAO C F, et al.Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing[J]. IEEE transactions on sustainable energy, 2021, 12(4): 1841-1852.
[8] 殷明慧, 蒯狄正, 李群, 等. 风机最大功率点跟踪的失效现象[J]. 中国电机工程学报, 2011, 31(18): 40-47.
YIN M H, KUAI D Z, LI Q, et al.A phenomenon of maximum power point tracking invalidity of wind turbines[J]. Proceedings of the CSEE, 2011, 31(18): 40-47.
[9] 陈佳, 岑丽辉, 曹安康, 等. 一种考虑风力机实际大转动惯量的改进最优转矩法[J]. 太阳能学报, 2021, 42(6): 297-303.
CHEN J, CEN L H, CAO A K, et al.An improved optimal torque control of wind turbine considering actual large rotational inertia[J]. Acta energiae solaris sinica, 2021, 42(6): 297-303.
[10] 韩花丽, 张根保, 杨微. 湍流强度对风电机组测量功率曲线的影响及修正[J]. 太阳能学报, 2015, 36(6): 1442-1447.
HAN H L, ZHANG G B, YANG W.Influence and adjustment of turbulence intensity on measured power curve of wind turbine[J]. Acta energiae solaris sinica, 2015, 36(6): 1442-1447.
[11] 周连俊, 殷明慧, 杨炯明, 等. 考虑变化湍流风速条件的风电机组改进自适应转矩控制[J]. 电力系统自动化, 2021, 45(1): 184-191.
ZHOU L J, YIN M H, YANG J M, et al.Improved adaptive torque control for wind turbine considering varying turbulence conditions[J]. Automation of electric power systems, 2021, 45(1): 184-191.
[12] ERDENEBAT M, MOON C J, BAYASGALAN Z.Wind turbine power control for turbulence wind speed[C]//2020 IEEE Region 10 Symposium (TENSYMP). Dhaka, Bangladesh, 2020: 539-542.
[13] NAIK K A, GUPTA C P, FERNANDEZ E.Wind power smoothing in partial load region with advanced fuzzy-logic based pitch-angle controller[J]. Wind engineering, 2022, 46(1): 52-68.
[14] 赵骞, 邵一川, 姚兴佳, 等. 风电机组基于最优跟踪路径的改进型MPPT控制[J]. 中国电机工程学报, 2020, 40(1): 282-289.
ZHAO Q, SHAO Y C, YAO X J, et al.Improved MPPT control of wind turbine based on optimal tracking path[J]. Proceedings of the CSEE, 2020, 40(1): 282-289.
[15] ZHU Y, WANG Z C, GUO X B, et al.An improved kinetic energy control strategy for power smoothing of PMSG-WECS based on low pass filter and fuzzy logic controller[J]. Electric power systems research, 2023, 214: 108816.
[16] 朱菊萍, 魏霞, 谢丽蓉, 等. 基于VMD和改进BiLSTM的短期风电功率预测[J]. 太阳能学报, 2024, 45(6): 422-428.
ZHU J P, WEI X, XIE L R, et al.Short-term wind power prediction based on VMD and improved BiLSTM[J]. Acta energiae solaris sinica, 2024, 45(6): 422-428.
[17] HU W C, CHENG B L, YANG Q S, et al.A novel two-layer hybrid model for ultra-short-term wind speed prediction based on SSP and BO-LSTM[J]. Wind and structures, 2023, 36(5): 293-305.
[18] ZHANG Z, WANG Y S, XU Z W, et al.Multiscale ultra-short-term wind power prediction model based on GD-IFEM-PSO and VMD-BP[J]. Energy science & engineering, 2023, 11(12): 4700-4721.
[19] 李少林, 王伟胜, 张兴, 等. 风力发电对系统频率影响及虚拟惯量综合控制[J]. 电力系统自动化, 2019, 43(15): 64-70.
LI S L, WANG W S, ZHANG X, et al.Impact of wind power on power system frequency and combined virtual inertia control[J]. Automation of electric power systems, 2019, 43(15): 64-70.
[20] 蔡国伟, 钟超, 吴刚, 等. 考虑风电机组超速减载与惯量控制的电力系统机组组合策略[J]. 电力系统自动化, 2021, 45(16): 134-142.
CAI G W, ZHONG C, WU G, et al.Unit commitment strategy of power system considering overspeed load reduction and inertia control of wind turbine[J]. Automation of electric power systems, 2021, 45(16): 134-142.)
收藏切换
一种利用风电机组风轮大转动惯量平抑功率波动的控制策略
收藏切换
PDF下载
太阳能学报 | 2026,47(6): 316-326
收起
收藏切换
太阳能学报 2026 , 47 (6) : 316 -326
一种利用风电机组风轮大转动惯量平抑功率波动的控制策略
全屏
杨欢红1, 郑颖1, 贾大江2
作者信息
    1.上海电力大学电气工程学院,上海 200090;
    2.中国水利水电科学研究院,北京 100038
CONTROL STRATEGY FOR STABILIZING POWER FLUCTUATIONS BY UTILIZING LARGE ROTATIONAL INERTIA OF WIND TURBINE BLADE
  • Yang Huanhong1, Zheng Ying1, Jia Dajiang2
  • Affiliations
      1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
      2. China Institute of Water Resources and Hydropower Research , Beijing 100038, China
    doi: 10.19912/j.0254-0096.tynxb.2025-0087
    文章导航
    收藏切换
    针对现代大型风力发电机组在额定风速以下的输出功率波动问题,提出一种利用风轮大转动惯量实现无储能系统的功率平抑策略。首先利用风电机组本身特性给出具有即时性的精确等效风速参与控制;通过基于高气动效率区宽速比的叶片设计对每段风速设置转速上下限,同时给出整个惯量控制过程,实现风轮的能量储存和释放;通过大数据构建多个基于风速脉动趋势斜率的预判模型,实现转矩预判动作。最后,在专业仿真软件Bladed和实际某风场中进行功率输出对比仿真和实验。其结果表明,所采用的策略在不外加储能设备的情况下,有效平稳了风力发电机组的输出功率。
    风电功率  /  风速  /  风轮叶片  /  叶尖速比  /  转动惯量  /  大数据
    A power smoothing strategy without energy storage system by utilizing the large rotational inertia of the wind turbine rotor to achieve power smoothing is proposed to solve the problem of output power fluctuations of modern large-scale wind turbines under rated wind speed. Firstly, the inherent characteristics of the wind turbines are employed to provide an immediate and accurate equivalent wind speed for control participation. Secondly, the upper and lower limits of the rotational speed are set for each wind speed segment based on high aerodynamic efficiency zone and wide speed-ratio design, and the entire inertia control process is given simultaneously to achieve the energy storage and release of the wind turbine rotor. Subsequently, multiple prediction models based on the slope of the wind speed pulsation trend are constructed via big data sources to realize the predictive action of the torque. Finally, the comparative simulation experiments of the power output of the wind turbine are carried out by BLADED simulation software and a certain actual wind farm. The results show that the adopted strategy stabilizes the output power effectively without the additional energy storage devices.
    wind power  /  wind speed  /  wind turbine blades  /  tip-speed ratio  /  rotational of inertia  /  big data
    杨欢红, 郑颖, 贾大江. 一种利用风电机组风轮大转动惯量平抑功率波动的控制策略. 太阳能学报, 2026 , 47 (6) : 316 -326 . DOI: 10.19912/j.0254-0096.tynxb.2025-0087
    Yang Huanhong, Zheng Ying, Jia Dajiang. CONTROL STRATEGY FOR STABILIZING POWER FLUCTUATIONS BY UTILIZING LARGE ROTATIONAL INERTIA OF WIND TURBINE BLADE[J]. Acta Energiae Solaris Sinica, 2026 , 47 (6) : 316 -326 . DOI: 10.19912/j.0254-0096.tynxb.2025-0087

      国家自然科学基金(52177100)

    参考文献 引证文献
    排序方式:
    [1] TANG M N, WANG W J, ZHEN X F, et al.Robust control of wind turbines to reduce wind power fluctuation[J]. Energy science & engineering, 2024, 12(5): 1818-1834.
    [2] 周皓, 李军徽, 葛长兴, 等. 改善风电并网电能质量的飞轮储能系统能量管理系统设计[J]. 太阳能学报, 2021, 42(3): 105-113.
    ZHOU H, LI J H, GE C X, et al.Research on improving power quality of wind power system based on energy management system of flywheel energy storage system[J]. Acta energiae solaris sinica, 2021, 42(3): 105-113.
    [3] 聂永辉, 张丽丽, 张立栋, 等. 一种基于VSG的风电机组与飞轮储能协调控制方法[J]. 太阳能学报, 2021, 42(8): 387-393.
    NIE Y H, ZHANG L L, ZHANG L D, et al.A VSG-based coordinated control method for wind turbine and flywheel energy storage[J]. Acta energiae solaris sinica, 2021, 42(8): 387-393.
    [4] 陈玉龙, 武鑫, 滕伟, 等. 用于风电功率平抑的飞轮储能阵列功率协调控制策略[J]. 储能科学与技术, 2022, 11(2): 600-608.
    CHEN Y L, WU X, TENG W, et al.Power coordinated control strategy of flywheel energy storage array for wind power smoothing[J]. Energy storage science and technology, 2022, 11(2): 600-608.
    [5] 武鑫, 李洋涛, 马志勇, 等. 基于改进小波包分解的混合储能系统容量配置方法[J]. 太阳能学报, 2023, 44(8): 23-29.
    WU X, LI Y T, MA Z Y, et al.Capacity configuration method of hybrid energy storage system based on improved wavelet packet decomposition[J]. Acta energiae solaris sinica, 2023, 44(8): 23-29.
    [6] WANG X, ZHOU J S, QIN B, et al.Coordinated power smoothing control strategy of multi-wind turbines and energy storage systems in wind farm based on MADRL[J]. IEEE transactions on sustainable energy, 2024, 15(1): 368-380.
    [7] WAN C, QIAN W T, ZHAO C F, et al.Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing[J]. IEEE transactions on sustainable energy, 2021, 12(4): 1841-1852.
    [8] 殷明慧, 蒯狄正, 李群, 等. 风机最大功率点跟踪的失效现象[J]. 中国电机工程学报, 2011, 31(18): 40-47.
    YIN M H, KUAI D Z, LI Q, et al.A phenomenon of maximum power point tracking invalidity of wind turbines[J]. Proceedings of the CSEE, 2011, 31(18): 40-47.
    [9] 陈佳, 岑丽辉, 曹安康, 等. 一种考虑风力机实际大转动惯量的改进最优转矩法[J]. 太阳能学报, 2021, 42(6): 297-303.
    CHEN J, CEN L H, CAO A K, et al.An improved optimal torque control of wind turbine considering actual large rotational inertia[J]. Acta energiae solaris sinica, 2021, 42(6): 297-303.
    [10] 韩花丽, 张根保, 杨微. 湍流强度对风电机组测量功率曲线的影响及修正[J]. 太阳能学报, 2015, 36(6): 1442-1447.
    HAN H L, ZHANG G B, YANG W.Influence and adjustment of turbulence intensity on measured power curve of wind turbine[J]. Acta energiae solaris sinica, 2015, 36(6): 1442-1447.
    [11] 周连俊, 殷明慧, 杨炯明, 等. 考虑变化湍流风速条件的风电机组改进自适应转矩控制[J]. 电力系统自动化, 2021, 45(1): 184-191.
    ZHOU L J, YIN M H, YANG J M, et al.Improved adaptive torque control for wind turbine considering varying turbulence conditions[J]. Automation of electric power systems, 2021, 45(1): 184-191.
    [12] ERDENEBAT M, MOON C J, BAYASGALAN Z.Wind turbine power control for turbulence wind speed[C]//2020 IEEE Region 10 Symposium (TENSYMP). Dhaka, Bangladesh, 2020: 539-542.
    [13] NAIK K A, GUPTA C P, FERNANDEZ E.Wind power smoothing in partial load region with advanced fuzzy-logic based pitch-angle controller[J]. Wind engineering, 2022, 46(1): 52-68.
    [14] 赵骞, 邵一川, 姚兴佳, 等. 风电机组基于最优跟踪路径的改进型MPPT控制[J]. 中国电机工程学报, 2020, 40(1): 282-289.
    ZHAO Q, SHAO Y C, YAO X J, et al.Improved MPPT control of wind turbine based on optimal tracking path[J]. Proceedings of the CSEE, 2020, 40(1): 282-289.
    [15] ZHU Y, WANG Z C, GUO X B, et al.An improved kinetic energy control strategy for power smoothing of PMSG-WECS based on low pass filter and fuzzy logic controller[J]. Electric power systems research, 2023, 214: 108816.
    [16] 朱菊萍, 魏霞, 谢丽蓉, 等. 基于VMD和改进BiLSTM的短期风电功率预测[J]. 太阳能学报, 2024, 45(6): 422-428.
    ZHU J P, WEI X, XIE L R, et al.Short-term wind power prediction based on VMD and improved BiLSTM[J]. Acta energiae solaris sinica, 2024, 45(6): 422-428.
    [17] HU W C, CHENG B L, YANG Q S, et al.A novel two-layer hybrid model for ultra-short-term wind speed prediction based on SSP and BO-LSTM[J]. Wind and structures, 2023, 36(5): 293-305.
    [18] ZHANG Z, WANG Y S, XU Z W, et al.Multiscale ultra-short-term wind power prediction model based on GD-IFEM-PSO and VMD-BP[J]. Energy science & engineering, 2023, 11(12): 4700-4721.
    [19] 李少林, 王伟胜, 张兴, 等. 风力发电对系统频率影响及虚拟惯量综合控制[J]. 电力系统自动化, 2019, 43(15): 64-70.
    LI S L, WANG W S, ZHANG X, et al.Impact of wind power on power system frequency and combined virtual inertia control[J]. Automation of electric power systems, 2019, 43(15): 64-70.
    [20] 蔡国伟, 钟超, 吴刚, 等. 考虑风电机组超速减载与惯量控制的电力系统机组组合策略[J]. 电力系统自动化, 2021, 45(16): 134-142.
    CAI G W, ZHONG C, WU G, et al.Unit commitment strategy of power system considering overspeed load reduction and inertia control of wind turbine[J]. Automation of electric power systems, 2021, 45(16): 134-142.
    2026年第47卷第6期
    PDF下载
    53
    6
    引用本文
    BibTeX
    文章信息
    doi: 10.19912/j.0254-0096.tynxb.2025-0087
    • 接收时间:2025-01-14
    • 首发时间:2026-07-17
    补充材料
    相关文章
    文章信息
    作者
    出版历史
    • 收稿日期:2025-01-14
    基金
    作者信息
    参考文献
    分享链接
    https://castjournals.cast.org.cn/joweb/tynxb/CN/10.19912/j.0254-0096.tynxb.2025-0087
    分享至
    全文二维码

    扫描看全文

    引用本文
    BibTeX
    本文的引用情况
    2种不同金属材料的力学参数

    Family
    属数
    Number of
    genus
    种数
    Number of
    species
    占总种数比例
    Percentage of
    total species (%)

    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
    关闭全屏