Annual coordinated generation and transmission maintenance scheduling considering network constraints and energy not supplied
Summary Most generation and transmission maintenance scheduling (GTMS) packages consider preventive maintenance scheduling over a 1‐ or 2‐year time horizon to lessen the total operation costs while fulfilling system energy requirements. This paper proposes a security‐constrained model for the GTMS p...
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Veröffentlicht in: | International transactions on electrical energy systems 2015-09, Vol.25 (9), p.1831-1847 |
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creator | Norozpour Niazi, Ahmad Badri, Ali Khoshnoud, Sajjad |
description | Summary
Most generation and transmission maintenance scheduling (GTMS) packages consider preventive maintenance scheduling over a 1‐ or 2‐year time horizon to lessen the total operation costs while fulfilling system energy requirements. This paper proposes a security‐constrained model for the GTMS problem. For a more realistic study, system reliability indices such as amount of not supplied energy are taken into account. The impact of load curve on the GTMS problem is investigated by a penalty factor. Unlike some previous studies that consider a fixed period for all unit maintenance windows, here various maintenance windows are considered for the system that is more realistic. Considering the problem that contains integer variables and taking into account the proposed model that is based on optimal generation and maintenance costs, mixed integer programming is employed to obtain the most accurate results by branch‐and‐bound algorithm. An IEEE 24‐bus reliability test system is employed for simulation and to show the accuracy of results. As demonstrated, system's security and reliability constraints like penalty factor, transmission safety, and energy not supplied may affect GTMS and alter system maintenance and operation costs. These strategies may lead to increases in unit operation or maintenance costs while varying units and transmission maintenance scheduling. Copyright © 2014 John Wiley & Sons, Ltd. |
doi_str_mv | 10.1002/etep.1935 |
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Most generation and transmission maintenance scheduling (GTMS) packages consider preventive maintenance scheduling over a 1‐ or 2‐year time horizon to lessen the total operation costs while fulfilling system energy requirements. This paper proposes a security‐constrained model for the GTMS problem. For a more realistic study, system reliability indices such as amount of not supplied energy are taken into account. The impact of load curve on the GTMS problem is investigated by a penalty factor. Unlike some previous studies that consider a fixed period for all unit maintenance windows, here various maintenance windows are considered for the system that is more realistic. Considering the problem that contains integer variables and taking into account the proposed model that is based on optimal generation and maintenance costs, mixed integer programming is employed to obtain the most accurate results by branch‐and‐bound algorithm. An IEEE 24‐bus reliability test system is employed for simulation and to show the accuracy of results. As demonstrated, system's security and reliability constraints like penalty factor, transmission safety, and energy not supplied may affect GTMS and alter system maintenance and operation costs. These strategies may lead to increases in unit operation or maintenance costs while varying units and transmission maintenance scheduling. Copyright © 2014 John Wiley & Sons, Ltd.</description><identifier>ISSN: 2050-7038</identifier><identifier>EISSN: 2050-7038</identifier><identifier>DOI: 10.1002/etep.1935</identifier><language>eng</language><publisher>Hoboken: Blackwell Publishing Ltd</publisher><subject>generation maintenance scheduling ; maintenance constraints ; network constraints ; not supplied energy ; transmission maintenance scheduling</subject><ispartof>International transactions on electrical energy systems, 2015-09, Vol.25 (9), p.1831-1847</ispartof><rights>Copyright © 2014 John Wiley & Sons, Ltd.</rights><rights>Copyright © 2015 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3365-af3e6ca70398884fe2859da6086790d482ac8a6fc6399ee39c2314a94cd5d7d53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fetep.1935$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fetep.1935$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Norozpour Niazi, Ahmad</creatorcontrib><creatorcontrib>Badri, Ali</creatorcontrib><creatorcontrib>Khoshnoud, Sajjad</creatorcontrib><title>Annual coordinated generation and transmission maintenance scheduling considering network constraints and energy not supplied</title><title>International transactions on electrical energy systems</title><addtitle>Int. Trans. Electr. Energ. Syst</addtitle><description>Summary
Most generation and transmission maintenance scheduling (GTMS) packages consider preventive maintenance scheduling over a 1‐ or 2‐year time horizon to lessen the total operation costs while fulfilling system energy requirements. This paper proposes a security‐constrained model for the GTMS problem. For a more realistic study, system reliability indices such as amount of not supplied energy are taken into account. The impact of load curve on the GTMS problem is investigated by a penalty factor. Unlike some previous studies that consider a fixed period for all unit maintenance windows, here various maintenance windows are considered for the system that is more realistic. Considering the problem that contains integer variables and taking into account the proposed model that is based on optimal generation and maintenance costs, mixed integer programming is employed to obtain the most accurate results by branch‐and‐bound algorithm. An IEEE 24‐bus reliability test system is employed for simulation and to show the accuracy of results. As demonstrated, system's security and reliability constraints like penalty factor, transmission safety, and energy not supplied may affect GTMS and alter system maintenance and operation costs. These strategies may lead to increases in unit operation or maintenance costs while varying units and transmission maintenance scheduling. Copyright © 2014 John Wiley & Sons, Ltd.</description><subject>generation maintenance scheduling</subject><subject>maintenance constraints</subject><subject>network constraints</subject><subject>not supplied energy</subject><subject>transmission maintenance scheduling</subject><issn>2050-7038</issn><issn>2050-7038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpNkEtPwzAQhCMEElXpgX8QiXNaO05i-1iVPhDlcSjiaFn2trhNnWA7Kj3w30lahNjLjlbzjeWJoluMhhihdAQB6iHmJL-IeinKUUIRYZf_9HU08H6L2uEZxpT1ou-xtY0sY1VVThsrA-h4AxacDKaysbQ6Dk5avzfed4e9NDaAlVZB7NUH6KY0dtPi1hsNrtMWwqFyu9OtZVu_P-V0qZtjbKsQ-6auSwP6Jrpay9LD4Hf3o7fZdDVZJMuX-cNkvEwUIUWeyDWBQsn2B5wxlq0hZTnXskCsoBzpjKVSMVmsVUE4ByBcpQRnkmdK55rqnPSju3Nu7arPBnwQ26pxtn1SYIpzRgglaesanV0HU8JR1M7spTsKjETXrujaFV27YrqavnaiJZIzYXyArz9Cup0oKKG5eH-ei_vF7GlGi0cxJz_yLIGG</recordid><startdate>201509</startdate><enddate>201509</enddate><creator>Norozpour Niazi, Ahmad</creator><creator>Badri, Ali</creator><creator>Khoshnoud, Sajjad</creator><general>Blackwell Publishing Ltd</general><general>Hindawi Limited</general><scope>BSCLL</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201509</creationdate><title>Annual coordinated generation and transmission maintenance scheduling considering network constraints and energy not supplied</title><author>Norozpour Niazi, Ahmad ; Badri, Ali ; Khoshnoud, Sajjad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3365-af3e6ca70398884fe2859da6086790d482ac8a6fc6399ee39c2314a94cd5d7d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>generation maintenance scheduling</topic><topic>maintenance constraints</topic><topic>network constraints</topic><topic>not supplied energy</topic><topic>transmission maintenance scheduling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Norozpour Niazi, Ahmad</creatorcontrib><creatorcontrib>Badri, Ali</creatorcontrib><creatorcontrib>Khoshnoud, Sajjad</creatorcontrib><collection>Istex</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International transactions on electrical energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Norozpour Niazi, Ahmad</au><au>Badri, Ali</au><au>Khoshnoud, Sajjad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Annual coordinated generation and transmission maintenance scheduling considering network constraints and energy not supplied</atitle><jtitle>International transactions on electrical energy systems</jtitle><addtitle>Int. Trans. Electr. Energ. Syst</addtitle><date>2015-09</date><risdate>2015</risdate><volume>25</volume><issue>9</issue><spage>1831</spage><epage>1847</epage><pages>1831-1847</pages><issn>2050-7038</issn><eissn>2050-7038</eissn><abstract>Summary
Most generation and transmission maintenance scheduling (GTMS) packages consider preventive maintenance scheduling over a 1‐ or 2‐year time horizon to lessen the total operation costs while fulfilling system energy requirements. This paper proposes a security‐constrained model for the GTMS problem. For a more realistic study, system reliability indices such as amount of not supplied energy are taken into account. The impact of load curve on the GTMS problem is investigated by a penalty factor. Unlike some previous studies that consider a fixed period for all unit maintenance windows, here various maintenance windows are considered for the system that is more realistic. Considering the problem that contains integer variables and taking into account the proposed model that is based on optimal generation and maintenance costs, mixed integer programming is employed to obtain the most accurate results by branch‐and‐bound algorithm. An IEEE 24‐bus reliability test system is employed for simulation and to show the accuracy of results. As demonstrated, system's security and reliability constraints like penalty factor, transmission safety, and energy not supplied may affect GTMS and alter system maintenance and operation costs. These strategies may lead to increases in unit operation or maintenance costs while varying units and transmission maintenance scheduling. Copyright © 2014 John Wiley & Sons, Ltd.</abstract><cop>Hoboken</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/etep.1935</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | generation maintenance scheduling maintenance constraints network constraints not supplied energy transmission maintenance scheduling |
title | Annual coordinated generation and transmission maintenance scheduling considering network constraints and energy not supplied |
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