Reduction of electrical energy losses of power transformers of 25 kV traction substations
The aim of the study is to reduce the losses of electrical energy in power transformers of AC traction substations. To reduce the losses of electrical energy, interval counterregulation of performance indicators in the traction power supply system is performed. The planning of the electrical energy...
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description | The aim of the study is to reduce the losses of electrical energy in power transformers of AC traction substations. To reduce the losses of electrical energy, interval counterregulation of performance indicators in the traction power supply system is performed. The planning of the electrical energy losses is determined by the predictive time intervals. The electrical energy losses in the time interval are determined by the power losses of instantaneous circuits. Instantaneous circuits determine the voltage of the windings of transformers, the currents of the power supply arms of the electric traction network, the transformation ratios, the temperature of the windings and the power of regional loads. The predictive values of the instantaneous circuits are determined by the results of the monitoring of the completed train schedules, statistical analysis and simulation modeling of the operation of the traction substation. The initial data for the calculation are the predictive discrete values of the performance indicators of the traction power supply system. The calculation of power losses in steel in power transformers is performed taking into account voltage unbalance. Copper losses are determined in phases, taking into account the distribution of arm currents in the windings and the actual transformation ratios. Actual transformation ratios are determined based on the voltage control stage. The effect of winding temperature on power losses is taken into account by the temperature coefficient of resistance. The number of transformers in operation at the predictive time intervals is selected by the minimum loss of electrical energy. The accuracy of the choice of the number of transformers in operation is checked by analyzing the implementation of the forecast train schedule. The error of the initial data and simulation modeling is determined by comparing the predictive values and the monitoring results. It is proposed to carry out performance management of the traction power supply system on the basis of digital technologies. |
doi_str_mv | 10.1088/1757-899X/760/1/012060 |
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To reduce the losses of electrical energy, interval counterregulation of performance indicators in the traction power supply system is performed. The planning of the electrical energy losses is determined by the predictive time intervals. The electrical energy losses in the time interval are determined by the power losses of instantaneous circuits. Instantaneous circuits determine the voltage of the windings of transformers, the currents of the power supply arms of the electric traction network, the transformation ratios, the temperature of the windings and the power of regional loads. The predictive values of the instantaneous circuits are determined by the results of the monitoring of the completed train schedules, statistical analysis and simulation modeling of the operation of the traction substation. The initial data for the calculation are the predictive discrete values of the performance indicators of the traction power supply system. The calculation of power losses in steel in power transformers is performed taking into account voltage unbalance. Copper losses are determined in phases, taking into account the distribution of arm currents in the windings and the actual transformation ratios. Actual transformation ratios are determined based on the voltage control stage. The effect of winding temperature on power losses is taken into account by the temperature coefficient of resistance. The number of transformers in operation at the predictive time intervals is selected by the minimum loss of electrical energy. The accuracy of the choice of the number of transformers in operation is checked by analyzing the implementation of the forecast train schedule. The error of the initial data and simulation modeling is determined by comparing the predictive values and the monitoring results. It is proposed to carry out performance management of the traction power supply system on the basis of digital technologies.</description><identifier>ISSN: 1757-8981</identifier><identifier>EISSN: 1757-899X</identifier><identifier>DOI: 10.1088/1757-899X/760/1/012060</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Alternating current ; Business metrics ; Circuits ; Coils (windings) ; Copper loss ; Electric potential ; Electric power supplies ; Energy ; Indicators ; Intervals ; Modelling ; Monitoring ; Performance management ; Power supply ; Schedules ; Statistical analysis ; Substations ; Traction ; Transformations ; Transformers ; Voltage</subject><ispartof>IOP conference series. Materials Science and Engineering, 2020-02, Vol.760 (1), p.12060</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3220-b49409729d858704bc44c885ac5ad152b447b1a54879f4988b8fba0cb3b6224b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1757-899X/760/1/012060/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,27901,27902,38845,38867,53815,53842</link.rule.ids></links><search><creatorcontrib>Grigoriev, N P</creatorcontrib><creatorcontrib>Klykov, M S</creatorcontrib><creatorcontrib>Tikhomirov, V A</creatorcontrib><creatorcontrib>Trofimovich, P N</creatorcontrib><title>Reduction of electrical energy losses of power transformers of 25 kV traction substations</title><title>IOP conference series. Materials Science and Engineering</title><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><description>The aim of the study is to reduce the losses of electrical energy in power transformers of AC traction substations. To reduce the losses of electrical energy, interval counterregulation of performance indicators in the traction power supply system is performed. The planning of the electrical energy losses is determined by the predictive time intervals. The electrical energy losses in the time interval are determined by the power losses of instantaneous circuits. Instantaneous circuits determine the voltage of the windings of transformers, the currents of the power supply arms of the electric traction network, the transformation ratios, the temperature of the windings and the power of regional loads. The predictive values of the instantaneous circuits are determined by the results of the monitoring of the completed train schedules, statistical analysis and simulation modeling of the operation of the traction substation. The initial data for the calculation are the predictive discrete values of the performance indicators of the traction power supply system. The calculation of power losses in steel in power transformers is performed taking into account voltage unbalance. Copper losses are determined in phases, taking into account the distribution of arm currents in the windings and the actual transformation ratios. Actual transformation ratios are determined based on the voltage control stage. The effect of winding temperature on power losses is taken into account by the temperature coefficient of resistance. The number of transformers in operation at the predictive time intervals is selected by the minimum loss of electrical energy. The accuracy of the choice of the number of transformers in operation is checked by analyzing the implementation of the forecast train schedule. The error of the initial data and simulation modeling is determined by comparing the predictive values and the monitoring results. It is proposed to carry out performance management of the traction power supply system on the basis of digital technologies.</description><subject>Alternating current</subject><subject>Business metrics</subject><subject>Circuits</subject><subject>Coils (windings)</subject><subject>Copper loss</subject><subject>Electric potential</subject><subject>Electric power supplies</subject><subject>Energy</subject><subject>Indicators</subject><subject>Intervals</subject><subject>Modelling</subject><subject>Monitoring</subject><subject>Performance management</subject><subject>Power supply</subject><subject>Schedules</subject><subject>Statistical analysis</subject><subject>Substations</subject><subject>Traction</subject><subject>Transformations</subject><subject>Transformers</subject><subject>Voltage</subject><issn>1757-8981</issn><issn>1757-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkFtLxDAQhYMouK7-BSn44svaSZo06aMs6wVWBG_oU0jSVLp2m5q0yP57WysrguDTDDPnnGE-hI4xnGEQIsac8ZnIsueYpxDjGDCBFHbQZLvY3fYC76ODEFYAKacUJujlzuadaUtXR66IbGVN60ujqsjW1r9uosqFYMOwa9yH9VHrVR0K59fWf00Ji96ehumYETodWjW04RDtFaoK9ui7TtHjxeJhfjVb3l5ez8-XM5MQAjNNMwoZJ1kumOBAtaHUCMGUYSrHjGhKucaKUcGzgmZCaFFoBUYnOiWE6mSKTsbcxrv3zoZWrlzn6_6kJCwlGBKeQK9KR5Xx_UfeFrLx5Vr5jcQgB4xyICQHWrLHKLEcMfZGMhpL1_wk_2s6_cN0c7_4JZNNXiSfBreBhg</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Grigoriev, N P</creator><creator>Klykov, M S</creator><creator>Tikhomirov, V A</creator><creator>Trofimovich, P N</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20200201</creationdate><title>Reduction of electrical energy losses of power transformers of 25 kV traction substations</title><author>Grigoriev, N P ; Klykov, M S ; Tikhomirov, V A ; Trofimovich, P N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3220-b49409729d858704bc44c885ac5ad152b447b1a54879f4988b8fba0cb3b6224b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alternating current</topic><topic>Business metrics</topic><topic>Circuits</topic><topic>Coils (windings)</topic><topic>Copper loss</topic><topic>Electric potential</topic><topic>Electric power supplies</topic><topic>Energy</topic><topic>Indicators</topic><topic>Intervals</topic><topic>Modelling</topic><topic>Monitoring</topic><topic>Performance management</topic><topic>Power supply</topic><topic>Schedules</topic><topic>Statistical analysis</topic><topic>Substations</topic><topic>Traction</topic><topic>Transformations</topic><topic>Transformers</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grigoriev, N P</creatorcontrib><creatorcontrib>Klykov, M S</creatorcontrib><creatorcontrib>Tikhomirov, V A</creatorcontrib><creatorcontrib>Trofimovich, P N</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>IOP conference series. Materials Science and Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grigoriev, N P</au><au>Klykov, M S</au><au>Tikhomirov, V A</au><au>Trofimovich, P N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reduction of electrical energy losses of power transformers of 25 kV traction substations</atitle><jtitle>IOP conference series. Materials Science and Engineering</jtitle><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>760</volume><issue>1</issue><spage>12060</spage><pages>12060-</pages><issn>1757-8981</issn><eissn>1757-899X</eissn><abstract>The aim of the study is to reduce the losses of electrical energy in power transformers of AC traction substations. To reduce the losses of electrical energy, interval counterregulation of performance indicators in the traction power supply system is performed. The planning of the electrical energy losses is determined by the predictive time intervals. The electrical energy losses in the time interval are determined by the power losses of instantaneous circuits. Instantaneous circuits determine the voltage of the windings of transformers, the currents of the power supply arms of the electric traction network, the transformation ratios, the temperature of the windings and the power of regional loads. The predictive values of the instantaneous circuits are determined by the results of the monitoring of the completed train schedules, statistical analysis and simulation modeling of the operation of the traction substation. The initial data for the calculation are the predictive discrete values of the performance indicators of the traction power supply system. The calculation of power losses in steel in power transformers is performed taking into account voltage unbalance. Copper losses are determined in phases, taking into account the distribution of arm currents in the windings and the actual transformation ratios. Actual transformation ratios are determined based on the voltage control stage. The effect of winding temperature on power losses is taken into account by the temperature coefficient of resistance. The number of transformers in operation at the predictive time intervals is selected by the minimum loss of electrical energy. The accuracy of the choice of the number of transformers in operation is checked by analyzing the implementation of the forecast train schedule. The error of the initial data and simulation modeling is determined by comparing the predictive values and the monitoring results. It is proposed to carry out performance management of the traction power supply system on the basis of digital technologies.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1757-899X/760/1/012060</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alternating current Business metrics Circuits Coils (windings) Copper loss Electric potential Electric power supplies Energy Indicators Intervals Modelling Monitoring Performance management Power supply Schedules Statistical analysis Substations Traction Transformations Transformers Voltage |
title | Reduction of electrical energy losses of power transformers of 25 kV traction substations |
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