Article(id=1222493251383320901, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202212249, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1669824000000, revisedDateStr=2022-12-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1769394703956, onlineDateStr=2026-01-26, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769394703956, onlineIssueDateStr=2026-01-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769394703956, creator=13701087609, updateTime=1769394703956, updator=13701087609, issue=Issue{id=1222493244286558340, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='8', pageStart='1', pageEnd='196', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769394702264, creator=13701087609, updateTime=1769394819736, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222493737050169898, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222493737050169899, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=104, endPage=112, ext={EN=ArticleExt(id=1222493251668533603, articleId=1222493251383320901, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Optimization method of joint frequency modulation load of thermal power unit and energy storage considering the characteristics of thermal power plant variable load process, columnId=1211002405299294959, journalTitle=Thermal Power Generation, columnName=Thermal energy science research, runingTitle=null, highlight=null, articleAbstract=

With the gradual increase in the proportion of new energy in the energy system, increasing the difficulty of AGC frequency regulation of thermal power units, energy storage systems combined with thermal power units AGC frequency regulation technology in China's power industry is developing rapidly. In this paper, the joint frequency modulation system of thermal power unit and energy storage system is studied for the problem of not considering the characteristics of unit variable load process and the lack of relevant evaluation system. Firstly, the thermal unit coal consumption, lifetime, environmental friendliness and energy storage lifetime models are established and uniformly transformed into cost terms during the thermal unit variable load process, thus constituting the corresponding evaluation system. Secondly, the system day-ahead operation optimization model is established, and the system load allocation strategy is further refined by considering the optimization results. Finally, the method proposed in this paper is verified by a case study. The results show that the optimal allocation strategy of joint frequency modulation load of thermal power unit and energy storage proposed in this paper can achieve the purpose of energy storage state management; and through the optimal selection of unit variable load rate and the coordinated response with the energy storage system, the process of unit load change is alleviated the problems of excessive environmental protection and rapid loss of lifespan.

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新能源在能源系统中占比的逐步提高，加大了火电机组AGC调频难度，储能系统联合火电机组AGC调频技术在我国电力行业发展迅猛。针对目前火储联合调频系统未考虑机组变负荷过程特性及缺少相关评价体系的问题，进行了考虑机组变负荷过程特性的火储联合调频系统研究。首先，建立了机组变负荷过程中，机组煤耗、寿命、环保性和储能寿命模型，并统一转化为成本项，从而构成相应的评价体系；其次，建立了系统日前运行优化模型，综合考虑优化结果，进一步细化了系统负荷分配策略；最后，通过算例验证了本文所提方法。结果表明：提出的火储联合调频负荷优化分配策略能够达到储能状态管理的目的；通过机组变负荷速率的优化选择和同储能系统的协同响应，缓解了机组变负荷过程中的环保超标、寿命快速折损的问题。

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李振（1986），男，博士，主要研究方向为热能工程、综合能源与储能系统集成与调试运维，lizhen@sgecs.com.cn。

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李振（1986），男，博士，主要研究方向为热能工程、综合能源与储能系统集成与调试运维，lizhen@sgecs.com.cn。

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