标题:Reliability Assessment of Micro-grid Based on Markov Model
作者:Liu, Xiaoxian; Wang, Yong; Song, Changwei; Qu, Hanbing
作者机构:[Liu, Xiaoxian; Wang, Yong; Song, Changwei] Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan, Peoples R China.; [Qu, Hanbing] 更多
会议名称:IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
会议日期:OCT 25-28, 2016
来源:2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC)
出版年:2016
卷:2016-December
页码:2434-2437
DOI:10.1109/APPEEC.2016.7779922
关键词:Analytic method; Markov model; Micro-grid; Photovoltaic; Reliability; assessment; Wind power
摘要:Micro-grid can absorb the distributed power effectively, reduce loss, and improve power supply reliability. In order to assess micro-grid reliability quantitatively, the random natures of distributed power output are analyzed firstly in this paper. Wind power and photovoltaic Markov model are set up. And the power smoothing of energy storage is considered. Then the corresponding reliability evaluation process was given. And lastly, this paper realizes the micro-grid running states analysis and reliability assessment based on the analytic method. In addition, the new reliability indexes for micro-grid are proposed in the paper. Finally, example proves the efficiency of the above model and method. The results show that distributed power Markov model has a timing sequence and makes the assessment can better reflect the practical operation of micro-grid. It's significant for improving the reliability and economy of micro-grid operation.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:2
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009999453&doi=10.1109%2fAPPEEC.2016.7779922&partnerID=40&md5=86a46c76f2da31af84a297600f06e1d2
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