The methodology for simultaneous scheduling and energy auctioning
This paper presents one of the OPF methodologies that allow performing scheduling and market auctioning simultaneously. The problem uses a non-linear model of electrical network, which allows taking into account voltage constraints, injections of reactive power and line current constraints. Consider...
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creator | Ayuyev, B.I. Mashalov, E. Neuymin, V.G. Nikishin, K. Shubin, N.G. |
description | This paper presents one of the OPF methodologies that allow performing scheduling and market auctioning simultaneously. The problem uses a non-linear model of electrical network, which allows taking into account voltage constraints, injections of reactive power and line current constraints. Consideration is also given to integral generation output constraints, ramp rate, and reserve constraints. Transformer taps and reactive power sources are scheduled to resolve congestion management issues and to minimize power losses. The proposed algorithm is based on an interior-point method. There are two forms of objective functions provided: one is for constant and another one is for elastic power consumption. These problems can be solved with variable dispatch intervals during planning period. There were several techniques developed to increase computational performance of the discussed algorithm. The proposed methodology is implemented in the form of ldquoLincorWinrdquo software, which is used by the System Operator to solve the problems of daily scheduling and nodal price analysis for a model with more than 6,500 nodes. This paper also includes a discussion of several possible applications of the methodology for the real-time scheduling and balancing market issues. |
doi_str_mv | 10.1109/ISIE.2008.4676915 |
format | Conference Proceeding |
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The problem uses a non-linear model of electrical network, which allows taking into account voltage constraints, injections of reactive power and line current constraints. Consideration is also given to integral generation output constraints, ramp rate, and reserve constraints. Transformer taps and reactive power sources are scheduled to resolve congestion management issues and to minimize power losses. The proposed algorithm is based on an interior-point method. There are two forms of objective functions provided: one is for constant and another one is for elastic power consumption. These problems can be solved with variable dispatch intervals during planning period. There were several techniques developed to increase computational performance of the discussed algorithm. The proposed methodology is implemented in the form of ldquoLincorWinrdquo software, which is used by the System Operator to solve the problems of daily scheduling and nodal price analysis for a model with more than 6,500 nodes. This paper also includes a discussion of several possible applications of the methodology for the real-time scheduling and balancing market issues.</description><identifier>ISSN: 2163-5137</identifier><identifier>ISBN: 1424416655</identifier><identifier>ISBN: 9781424416653</identifier><identifier>EISBN: 1424416663</identifier><identifier>EISBN: 9781424416660</identifier><identifier>DOI: 10.1109/ISIE.2008.4676915</identifier><identifier>LCCN: 2007936380</identifier><language>eng</language><publisher>IEEE</publisher><subject>Job shop scheduling ; Load flow ; Optimization methods ; Power markets ; Power system modeling ; Power system reliability ; Power system security ; Processor scheduling ; Reactive power ; Robustness</subject><ispartof>2008 IEEE International Symposium on Industrial Electronics, 2008, p.1733-1737</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4676915$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4676915$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ayuyev, B.I.</creatorcontrib><creatorcontrib>Mashalov, E.</creatorcontrib><creatorcontrib>Neuymin, V.G.</creatorcontrib><creatorcontrib>Nikishin, K.</creatorcontrib><creatorcontrib>Shubin, N.G.</creatorcontrib><title>The methodology for simultaneous scheduling and energy auctioning</title><title>2008 IEEE International Symposium on Industrial Electronics</title><addtitle>ISIE</addtitle><description>This paper presents one of the OPF methodologies that allow performing scheduling and market auctioning simultaneously. The problem uses a non-linear model of electrical network, which allows taking into account voltage constraints, injections of reactive power and line current constraints. Consideration is also given to integral generation output constraints, ramp rate, and reserve constraints. Transformer taps and reactive power sources are scheduled to resolve congestion management issues and to minimize power losses. The proposed algorithm is based on an interior-point method. There are two forms of objective functions provided: one is for constant and another one is for elastic power consumption. These problems can be solved with variable dispatch intervals during planning period. There were several techniques developed to increase computational performance of the discussed algorithm. The proposed methodology is implemented in the form of ldquoLincorWinrdquo software, which is used by the System Operator to solve the problems of daily scheduling and nodal price analysis for a model with more than 6,500 nodes. This paper also includes a discussion of several possible applications of the methodology for the real-time scheduling and balancing market issues.</description><subject>Job shop scheduling</subject><subject>Load flow</subject><subject>Optimization methods</subject><subject>Power markets</subject><subject>Power system modeling</subject><subject>Power system reliability</subject><subject>Power system security</subject><subject>Processor scheduling</subject><subject>Reactive power</subject><subject>Robustness</subject><issn>2163-5137</issn><isbn>1424416655</isbn><isbn>9781424416653</isbn><isbn>1424416663</isbn><isbn>9781424416660</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMtqwzAURFXaQJM0H1C68Q_Y1dXTWoaQpoZAF_U-yNJ1LLCt4scif19DA10NM5yZxRDyCjQDoOa9-C6OGaM0z4TSyoB8IBsQTAhQSvHHfyPlE1kzUDyVwPWKbJaSNlzxnD6T3TiGigJVWizImuzLBpMOpyb62MbrLanjkIyhm9vJ9hjnMRldg35uQ39NbO8T7HFYMDu7KcR-SV_IqrbtiLu7bkn5cSwPn-n561Qc9uc0GDqlNdO5cMJ4JyvuDa2cYAyF1o5LDZJXzgHmKMEiE7XQjlJRIXO1kTl4K_mWvP3NBkS8_Ayhs8Ptcr-C_wJDV07v</recordid><startdate>200806</startdate><enddate>200806</enddate><creator>Ayuyev, B.I.</creator><creator>Mashalov, E.</creator><creator>Neuymin, V.G.</creator><creator>Nikishin, K.</creator><creator>Shubin, N.G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200806</creationdate><title>The methodology for simultaneous scheduling and energy auctioning</title><author>Ayuyev, B.I. ; Mashalov, E. ; Neuymin, V.G. ; Nikishin, K. ; Shubin, N.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f2784c49dc5b3d90bc422e477c357153bcc1e8e51ae24f47c004be2cf9581da53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Job shop scheduling</topic><topic>Load flow</topic><topic>Optimization methods</topic><topic>Power markets</topic><topic>Power system modeling</topic><topic>Power system reliability</topic><topic>Power system security</topic><topic>Processor scheduling</topic><topic>Reactive power</topic><topic>Robustness</topic><toplevel>online_resources</toplevel><creatorcontrib>Ayuyev, B.I.</creatorcontrib><creatorcontrib>Mashalov, E.</creatorcontrib><creatorcontrib>Neuymin, V.G.</creatorcontrib><creatorcontrib>Nikishin, K.</creatorcontrib><creatorcontrib>Shubin, N.G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ayuyev, B.I.</au><au>Mashalov, E.</au><au>Neuymin, V.G.</au><au>Nikishin, K.</au><au>Shubin, N.G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The methodology for simultaneous scheduling and energy auctioning</atitle><btitle>2008 IEEE International Symposium on Industrial Electronics</btitle><stitle>ISIE</stitle><date>2008-06</date><risdate>2008</risdate><spage>1733</spage><epage>1737</epage><pages>1733-1737</pages><issn>2163-5137</issn><isbn>1424416655</isbn><isbn>9781424416653</isbn><eisbn>1424416663</eisbn><eisbn>9781424416660</eisbn><abstract>This paper presents one of the OPF methodologies that allow performing scheduling and market auctioning simultaneously. The problem uses a non-linear model of electrical network, which allows taking into account voltage constraints, injections of reactive power and line current constraints. Consideration is also given to integral generation output constraints, ramp rate, and reserve constraints. Transformer taps and reactive power sources are scheduled to resolve congestion management issues and to minimize power losses. The proposed algorithm is based on an interior-point method. There are two forms of objective functions provided: one is for constant and another one is for elastic power consumption. These problems can be solved with variable dispatch intervals during planning period. There were several techniques developed to increase computational performance of the discussed algorithm. The proposed methodology is implemented in the form of ldquoLincorWinrdquo software, which is used by the System Operator to solve the problems of daily scheduling and nodal price analysis for a model with more than 6,500 nodes. This paper also includes a discussion of several possible applications of the methodology for the real-time scheduling and balancing market issues.</abstract><pub>IEEE</pub><doi>10.1109/ISIE.2008.4676915</doi><tpages>5</tpages></addata></record> |
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identifier | ISSN: 2163-5137 |
ispartof | 2008 IEEE International Symposium on Industrial Electronics, 2008, p.1733-1737 |
issn | 2163-5137 |
language | eng |
recordid | cdi_ieee_primary_4676915 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Job shop scheduling Load flow Optimization methods Power markets Power system modeling Power system reliability Power system security Processor scheduling Reactive power Robustness |
title | The methodology for simultaneous scheduling and energy auctioning |
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