Article(id=1222499164202721606, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222499161174434087, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202305098, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1685462400000, receivedDateStr=2023-05-31, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769396113681, onlineDateStr=2026-01-26, pubDate=1695571200000, pubDateStr=2023-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769396113681, onlineIssueDateStr=2026-01-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769396113681, creator=13701087609, updateTime=1769396113681, updator=13701087609, issue=Issue{id=1222499161174434087, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='9', pageStart='1', pageEnd='204', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769396112960, creator=13701087609, updateTime=1769396581892, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222501128068129514, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222499161174434087, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222501128068129515, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222499161174434087, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=112, endPage=120, ext={EN=ArticleExt(id=1222499164576014675, articleId=1222499164202721606, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Flywheel energy storage system frequency regulation control strategy based on improving AGC performance index, columnId=1222499161992323369, journalTitle=Thermal Power Generation, columnName=Clean, efficient and flexible coal-fired power technology, runingTitle=null, highlight=null, articleAbstract=
The coupling of thermal units with flywheel energy storage system can effectively improve the frequency regulation performance of AGC, solve the problems of long response time, slow climbing rate and low regulation accuracy of thermal units when tracking AGC commands, and obtain the auxiliary revenue of frequency regulation. This paper proposes a flywheel energy storage system control strategy for engineering practice, taking into account the requirements of the "two rules" of the Northwest Power Grid on AGC climbing performance, to improve the performance index of the combined system participating in AGC frequency regulation while preserving flywheel power. The results show that the proposed strategy improves the performance of the combined thermal power units and storage systems in AGC, and the economic efficiency of the power plant is significantly improved.
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飞轮储能系统耦合火电机组参与调频能够有效提高自动发电控制调频性能,解决火电机组跟踪二次调频指令时响应时间长、爬坡速率慢、调节精度低等问题,获取调频辅助收益。考虑西北电网“两个细则”对自动发电控制爬坡性能的要求,提出一种适用于工程实践的飞轮储能系统控制策略,保留飞轮电量的同时提高联合系统参与自动发电控制调频的性能指标。将此策略在实际工程中开展验证,结果表明:所提策略下火-储联合调频系统参与自动发电控制调频性能得到提升,电厂经济效益得到明显提升,控制策略的成功应用对飞轮储能系统联合火电机组参与自动发电控制调频的工程实践具有重要现实意义。
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, authorsList=魏波, 罗志炜, 肖峰, 禹梅, 梁璐, 丁浩天, 洪烽)}, authors=[Author(id=1222499165502955891, tenantId=1146029695717560320, journalId=1210938733613449225, articleId=1222499164202721606, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=bowei@ncepu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1222499165637173624, tenantId=1146029695717560320, journalId=1210938733613449225, articleId=1222499164202721606, authorId=1222499165502955891, language=EN, stringName=Bo WEI, firstName=Bo, middleName=null, lastName=WEI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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魏波(1987),男,博士,副教授,主要研究方向为分布式控制与决策,群体智能理论及应用,新能源电力系统,bowei@ncepu.edu.cn。
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魏波(1987),男,博士,副教授,主要研究方向为分布式控制与决策,群体智能理论及应用,新能源电力系统,bowei@ncepu.edu.cn。
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