Article(id=1309639398052950999, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1721664000000, receivedDateStr=2024-07-23, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790171964419, onlineDateStr=2026-09-23, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790171964419, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790171964419, creator=13701087609, updateTime=1790171964419, updator=13701087609, issue=Issue{id=1309639371255542472, tenantId=1146029695717560320, journalId=1146119893612605453, year='2025', volume='43', issue='11', pageStart='1421', pageEnd='1562', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790171958030, creator='13701087609', updateTime=1790231751141, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309890161824063505, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309890161824063506, tenantId=1146029695717560320, journalId=1146119893612605453, issueId=1309639371255542472, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1510, endPage=1516, ext={EN=ArticleExt(id=1309639398271054808, articleId=1309639398052950999, tenantId=1146029695717560320, journalId=1146119893612605453, language=EN, title=Reliability assessment of grid-connected microgrids considering time-to-failure correction for optical storage systems, columnId=null, journalTitle=Renewable Energy Resources, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Accurate modeling of photovoltaic-energy storage systems (PV-ESS) is critical to analyzing the stability and reliability of grid-connected microgrid systems. Firstly, the system reliability assessment model is established, the fault repair time model and the component failure rate model of the optical storage system are refined, and the battery aging-aware charging/discharging model accounting for energy storage lifespan degradation is established. Secondly, the reliability indicators are defined and the load-shedding and islanding strategies are developed, and the reliability evaluation method of grid-connected microgrids considering the correction of the fault repair time model of the photovoltaic storage system is proposed based on the sequential Monte Carlo simulation method. Finally, the improved IEEE RBTS BUS6 F4 feeder is used as a validation system to compare and analyze the influence of the fault repair time correction model of the PV-ESS on the reliability of grid-connected microgrids. The results more accurately evaluate the microgrid reliability by accounting for practical repair processes within PV-ESS.

, authors=Dawei Yue1, Yi Jiang2, Mingzhe Yang1, Lianbing Li1, Yueyang Shang1, Shuailong Zhang2, authorsList=Dawei Yue, Yi Jiang, Mingzhe Yang, Lianbing Li, Yueyang Shang, Shuailong Zhang, authorCompany=null, 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=1309639398619182041, articleId=1309639398052950999, tenantId=1146029695717560320, journalId=1146119893612605453, language=CN, title=考虑光储系统故障时间修正的并网型微电网可靠性评估, columnId=0, journalTitle=可再生能源, columnName=, runingTitle=null, highlight=null, articleAbstract=

光伏、储能的精确建模是分析并网型微电网系统稳定性和可靠性的关键。文章首先建立系统可靠性评估模型,对光储系统故障修复时间模型和元件故障率模型进行修正,建立了考虑储能蓄电池寿命的充放电模型;其次,定义了可靠性指标,并提出了负荷削减和孤岛划分策略,基于序贯蒙特卡洛模拟法提出了考虑光储系统故障修复时间模型修正的并网型微电网可靠性评估方法;最后,将改进的IEEE RBTS BUS6 F4馈线作为算例系统,对比分析了光储系统故障修复时间修正模型对并网型微电网可靠性的影响。结果表明,光储系统故障时间修正模型考虑了系统内部的实际修复过程,能更准确地评估微电网的可靠性。

, authors=岳大为1, 姜毅2, 杨明哲1, 李练兵1, 商悦阳1, 张帅龙2, authorsList=岳大为, 姜毅, 杨明哲, 李练兵, 商悦阳, 张帅龙, authorCompany=null, correspAuthors=null, authorNote=

岳大为(1978-),男,博士,副教授,研究方向为电力系统运行与控制、新能源技术等。E-mail:

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岳大为(1978-),男,博士,副教授,研究方向为电力系统运行与控制、新能源技术等。E-mail:

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岳大为(1978-),男,博士,副教授,研究方向为电力系统运行与控制、新能源技术等。E-mail:

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考虑光储系统故障时间修正的并网型微电网可靠性评估
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岳大为 1 , 姜毅 2 , 杨明哲 1 , 李练兵 1 , 商悦阳 1 , 张帅龙 2
可再生能源 | 2025,43(11): 1510-1516
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可再生能源 | 2025 , 43 (11) : 1510 -1516
考虑光储系统故障时间修正的并网型微电网可靠性评估
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岳大为1 , 姜毅2, 杨明哲1, 李练兵1, 商悦阳1, 张帅龙2
作者信息
  • 1.河北工业大学 省部共建电工装备可靠性与智能化国家重点实验室,天津 300130
  • 2.河北工业大学 人工智能与数据科学学院,天津 300130
作者简介:

岳大为(1978-),男,博士,副教授,研究方向为电力系统运行与控制、新能源技术等。E-mail:

Reliability assessment of grid-connected microgrids considering time-to-failure correction for optical storage systems
Dawei Yue1 , Yi Jiang2, Mingzhe Yang1, Lianbing Li1, Yueyang Shang1, Shuailong Zhang2
Affiliations
  • 1.State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
  • 2.School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
出版时间: 2025-11-20
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光伏、储能的精确建模是分析并网型微电网系统稳定性和可靠性的关键。文章首先建立系统可靠性评估模型,对光储系统故障修复时间模型和元件故障率模型进行修正,建立了考虑储能蓄电池寿命的充放电模型;其次,定义了可靠性指标,并提出了负荷削减和孤岛划分策略,基于序贯蒙特卡洛模拟法提出了考虑光储系统故障修复时间模型修正的并网型微电网可靠性评估方法;最后,将改进的IEEE RBTS BUS6 F4馈线作为算例系统,对比分析了光储系统故障修复时间修正模型对并网型微电网可靠性的影响。结果表明,光储系统故障时间修正模型考虑了系统内部的实际修复过程,能更准确地评估微电网的可靠性。

光伏  /  储能  /  并网型微电网  /  故障修复时间模型  /  序贯蒙特卡洛模拟法

Accurate modeling of photovoltaic-energy storage systems (PV-ESS) is critical to analyzing the stability and reliability of grid-connected microgrid systems. Firstly, the system reliability assessment model is established, the fault repair time model and the component failure rate model of the optical storage system are refined, and the battery aging-aware charging/discharging model accounting for energy storage lifespan degradation is established. Secondly, the reliability indicators are defined and the load-shedding and islanding strategies are developed, and the reliability evaluation method of grid-connected microgrids considering the correction of the fault repair time model of the photovoltaic storage system is proposed based on the sequential Monte Carlo simulation method. Finally, the improved IEEE RBTS BUS6 F4 feeder is used as a validation system to compare and analyze the influence of the fault repair time correction model of the PV-ESS on the reliability of grid-connected microgrids. The results more accurately evaluate the microgrid reliability by accounting for practical repair processes within PV-ESS.

PV  /  energy storage  /  grid-connected microgrid  /  fault repair time model correction  /  sequential Monte Carlo simulation method
岳大为, 姜毅, 杨明哲, 李练兵, 商悦阳, 张帅龙. 考虑光储系统故障时间修正的并网型微电网可靠性评估. 可再生能源, 2025 , 43 (11) : 1510 -1516 .
Dawei Yue, Yi Jiang, Mingzhe Yang, Lianbing Li, Yueyang Shang, Shuailong Zhang. Reliability assessment of grid-connected microgrids considering time-to-failure correction for optical storage systems[J]. Renewable Energy Resources, 2025 , 43 (11) : 1510 -1516 .
  • 河北省重点研发计划资助项目(20314301D)
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2025年第43卷第11期
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  • 接收时间:2024-07-23
  • 首发时间:2026-09-23
  • 出版时间:2025-11-20
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  • 收稿日期:2024-07-23
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河北省重点研发计划资助项目(20314301D)
作者信息
    1.河北工业大学 省部共建电工装备可靠性与智能化国家重点实验室,天津 300130
    2.河北工业大学 人工智能与数据科学学院,天津 300130
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