Reliability Model of MMC Considering Periodic Preventive Maintenance
Periodic preventive maintenance (PPM) is a significant measure to ensure reliable operation of the modular multilevel converter (MMC), but to date has always been neglected in the reliability evaluation. A mathematical reliability model of MMC considering PPM is proposed in this paper. The model is...
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Veröffentlicht in: | IEEE transactions on power delivery 2017-06, Vol.32 (3), p.1535-1544 |
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creator | Biyang Wang Xifan Wang Zhaohong Bie Judge, Paul D. Xiuli Wang Green, T. C. |
description | Periodic preventive maintenance (PPM) is a significant measure to ensure reliable operation of the modular multilevel converter (MMC), but to date has always been neglected in the reliability evaluation. A mathematical reliability model of MMC considering PPM is proposed in this paper. The model is derived rigorously by the reliability function and finally described by the indices equivalent failure rate and the forced outage rate. Two operation modes related to redundant submodules are considered and described by the standby model and k-out-of-n model, respectively. Employing this model, we can analyze the sensitivity of reliability to redundancy and maintenance interval and provide some reliability indices for planning, which is especially valuable for the offshore cases. The necessity of the considered PPM and the effectiveness of the proposed model are verified by case studies. A method to include PPM in reliability modeling is provided. |
doi_str_mv | 10.1109/TPWRD.2016.2602888 |
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C.</creator><creatorcontrib>Biyang Wang ; Xifan Wang ; Zhaohong Bie ; Judge, Paul D. ; Xiuli Wang ; Green, T. C.</creatorcontrib><description>Periodic preventive maintenance (PPM) is a significant measure to ensure reliable operation of the modular multilevel converter (MMC), but to date has always been neglected in the reliability evaluation. A mathematical reliability model of MMC considering PPM is proposed in this paper. The model is derived rigorously by the reliability function and finally described by the indices equivalent failure rate and the forced outage rate. Two operation modes related to redundant submodules are considered and described by the standby model and k-out-of-n model, respectively. Employing this model, we can analyze the sensitivity of reliability to redundancy and maintenance interval and provide some reliability indices for planning, which is especially valuable for the offshore cases. The necessity of the considered PPM and the effectiveness of the proposed model are verified by case studies. A method to include PPM in reliability modeling is provided.</description><identifier>ISSN: 0885-8977</identifier><identifier>EISSN: 1937-4208</identifier><identifier>DOI: 10.1109/TPWRD.2016.2602888</identifier><identifier>CODEN: ITPDE5</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Case studies ; HVDC ; Insulated gate bipolar transistors ; maintenance ; MMC ; Multilevel ; Power system reliability ; Preventive maintenance ; Redundancy ; reliability ; Reliability analysis ; Sensitivity analysis ; Voltage control</subject><ispartof>IEEE transactions on power delivery, 2017-06, Vol.32 (3), p.1535-1544</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-d2c71374d90681d0ce8788db3fa56cf0651b5f603207c3f80dd330818dcf77e03</citedby><cites>FETCH-LOGICAL-c339t-d2c71374d90681d0ce8788db3fa56cf0651b5f603207c3f80dd330818dcf77e03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7552503$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7552503$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Biyang Wang</creatorcontrib><creatorcontrib>Xifan Wang</creatorcontrib><creatorcontrib>Zhaohong Bie</creatorcontrib><creatorcontrib>Judge, Paul D.</creatorcontrib><creatorcontrib>Xiuli Wang</creatorcontrib><creatorcontrib>Green, T. C.</creatorcontrib><title>Reliability Model of MMC Considering Periodic Preventive Maintenance</title><title>IEEE transactions on power delivery</title><addtitle>TPWRD</addtitle><description>Periodic preventive maintenance (PPM) is a significant measure to ensure reliable operation of the modular multilevel converter (MMC), but to date has always been neglected in the reliability evaluation. A mathematical reliability model of MMC considering PPM is proposed in this paper. The model is derived rigorously by the reliability function and finally described by the indices equivalent failure rate and the forced outage rate. Two operation modes related to redundant submodules are considered and described by the standby model and k-out-of-n model, respectively. Employing this model, we can analyze the sensitivity of reliability to redundancy and maintenance interval and provide some reliability indices for planning, which is especially valuable for the offshore cases. The necessity of the considered PPM and the effectiveness of the proposed model are verified by case studies. A method to include PPM in reliability modeling is provided.</description><subject>Case studies</subject><subject>HVDC</subject><subject>Insulated gate bipolar transistors</subject><subject>maintenance</subject><subject>MMC</subject><subject>Multilevel</subject><subject>Power system reliability</subject><subject>Preventive maintenance</subject><subject>Redundancy</subject><subject>reliability</subject><subject>Reliability analysis</subject><subject>Sensitivity analysis</subject><subject>Voltage control</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAYhYMoOKd_QG8KXne-SZbmzaVsfsGKY0y8LF3yRjJqO9NusH9v54ZX5-Y858DD2C2HEedgHpbzz8V0JIBnI5GBQMQzNuBG6nQsAM_ZABBVikbrS3bVtmsAGIOBAZsuqArlKlSh2yd546hKGp_k-SSZNHUbHMVQfyXzPhoXbDKPtKO6CztK8jLUHdVlbemaXfiyaunmlEP28fy0nLyms_eXt8njLLVSmi51wmou9dgZyJA7sIQa0a2kL1VmPWSKr5TPQArQVnoE56QE5Ois15pADtn9cXcTm58ttV2xbrax7i8LjkYpNEKYviWOLRubto3ki00M32XcFxyKg63iz1ZxsFWcbPXQ3REKRPQPaKWEAil_Ad8JZTw</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Biyang Wang</creator><creator>Xifan Wang</creator><creator>Zhaohong Bie</creator><creator>Judge, Paul D.</creator><creator>Xiuli Wang</creator><creator>Green, T. C.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20170601</creationdate><title>Reliability Model of MMC Considering Periodic Preventive Maintenance</title><author>Biyang Wang ; Xifan Wang ; Zhaohong Bie ; Judge, Paul D. ; Xiuli Wang ; Green, T. 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C.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power delivery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Biyang Wang</au><au>Xifan Wang</au><au>Zhaohong Bie</au><au>Judge, Paul D.</au><au>Xiuli Wang</au><au>Green, T. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability Model of MMC Considering Periodic Preventive Maintenance</atitle><jtitle>IEEE transactions on power delivery</jtitle><stitle>TPWRD</stitle><date>2017-06-01</date><risdate>2017</risdate><volume>32</volume><issue>3</issue><spage>1535</spage><epage>1544</epage><pages>1535-1544</pages><issn>0885-8977</issn><eissn>1937-4208</eissn><coden>ITPDE5</coden><abstract>Periodic preventive maintenance (PPM) is a significant measure to ensure reliable operation of the modular multilevel converter (MMC), but to date has always been neglected in the reliability evaluation. A mathematical reliability model of MMC considering PPM is proposed in this paper. The model is derived rigorously by the reliability function and finally described by the indices equivalent failure rate and the forced outage rate. Two operation modes related to redundant submodules are considered and described by the standby model and k-out-of-n model, respectively. Employing this model, we can analyze the sensitivity of reliability to redundancy and maintenance interval and provide some reliability indices for planning, which is especially valuable for the offshore cases. The necessity of the considered PPM and the effectiveness of the proposed model are verified by case studies. A method to include PPM in reliability modeling is provided.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRD.2016.2602888</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Case studies HVDC Insulated gate bipolar transistors maintenance MMC Multilevel Power system reliability Preventive maintenance Redundancy reliability Reliability analysis Sensitivity analysis Voltage control |
title | Reliability Model of MMC Considering Periodic Preventive Maintenance |
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