Article(id=1321485234051330062, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485129009189764, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.4.274, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1654358400000, receivedDateStr=2022-06-05, revisedDate=1660838400000, revisedDateStr=2022-08-19, acceptedDate=1662393600000, acceptedDateStr=2022-09-06, onlineDate=1792996231805, onlineDateStr=2026-10-26, pubDate=1753804800000, pubDateStr=2025-07-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792996231805, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792996231805, creator=13701087609, updateTime=1792996231805, updator=13701087609, issue=Issue{id=1321485129009189764, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='4', pageStart='1', pageEnd='368', issueExtLink='null', onlineDate='null', pubDate='1753804800000', pubDateStr='2025-07-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792996206762, creator='13701087609', updateTime=1792996850840, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321487830518444549, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485129009189764, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321487830518444550, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485129009189764, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=274, endPage=285, ext={EN=ArticleExt(id=1321485234277822479, articleId=1321485234051330062, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Combined Frequency Modulation Strategy for Thermal Power and Energy Storage Based on SSA-VMD and Double-layer Fuzzy Control, columnId=1152281491788100462, journalTitle=Journal of Power Supply, columnName=Battery and Energy Storage, runingTitle=null, highlight=null, articleAbstract=

The massive grid connection of renewable energy brings a series of problems to the power grid, such as an insufficient frequency modulation capacity of thermal power units and a poor frequency modulation effect. Aimed at these problems, a combined frequency modulation strategy for thermal power and energy storage based on a battery energy storage system is proposed. First, the frequency modulation signal of area control error (ACE) is decomposed using variational mode decomposition (VMD). Combined with the load forecast data in the future, the number of decomposition modes K and penalty factor α in the VMD algorithm are optimized by the sparrow search algorithm (SSA). The high-frequency signal is assigned to the energy storage system, while the low-frequency signal is assigned to the thermal power units. Second, a double-layer fuzzy controller is designed, in which the fuzzy control in the first layer takes the high-frequency signal of area control error and its changing rate as input to improve the system’s dynamic frequency modulation performance, and the fuzzy control in the second layer takes into account the influence of state-of-charge to prevent the energy storage from encountering problems such as over-charging and over-discharging. Finally, the effectiveness of the proposed control strategy is verified by simulation analysis.

, authors=Huiqun YU^{1, 2}, Tao LIN^{1, 2}, Mingxin QI^{1, 2}, authorsList=Huiqun YU, Tao LIN, Mingxin QI, authorCompany=null, correspAuthors=Tao LIN, 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=1321485234814693394, articleId=1321485234051330062, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于SSA-VMD和双层模糊控制的火储联合调频策略, columnId=1149830274575463188, journalTitle=电源学报, columnName=电池与储能, runingTitle=null, highlight=null, articleAbstract=

可再生能源的大量并网给电网带来火电机组调频容量不足、调频效果不佳等一系列问题。为此，基于电池储能系统提出1种火储联合调频策略。首先，利用变分模态分解VMD（variational mode decomposition）对区域控制误差ACE（area control error）调频信号进行分解；结合未来负荷预测数据，通过麻雀搜索算法SSA（sparrow search algorithm）滚动优化VMD算法中的分解模态数K和惩罚因子α；将高频信号分配给储能系统，低频信号分配给火电机组。其次，设计双层模糊控制器，第1层模糊控制将区域控制误差高频信号及其变化率作为输入量，改善系统的动态调频性能；第2层模糊控制考虑荷电状态的影响，防止储能产生过充、过放的问题。最后通过仿真分析验证所提控制策略的有效性。

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^2.Shanghai Engineering Research Center of Intelligent Management and Control for Power Generation Process, Shanghai 200090, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321485237020897310, tenantId=1146029695717560320, journalId=1146031654075715584, articleId=1321485234051330062, authorId=1321485236848930842, language=CN, stringName=于会群, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1.上海电力大学自动化工程学院，上海　200090
^2.上海发电过程智能管控工程技术研究中心，上海　200090, bio={"content":"

于会群（1978—　），女，博士，副教授。研究方向：微电网控制技术。E-mail：yuhuiqun@shiep.edu.cn。

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于会群（1978—　），女，博士，副教授。研究方向：微电网控制技术。E-mail：yuhuiqun@shiep.edu.cn。

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戚明鑫（1998—　），男，硕士研究生。研究方向：电网储能调频技术。E-mail：qimingxin01@163.com。

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戚明鑫（1998—　），男，硕士研究生。研究方向：电网储能调频技术。E-mail：qimingxin01@163.com。

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