Optimization of power flow through facts in electrical networks
A mathematical model is presented for optimizing power flows in an electric network with a flexible controlled alternating current power transmission device - FACTS. The range of questions on the problem of optimizing the power flow in electric networks with one of the FACTS devices, the SVC static...
Gespeichert in:
Veröffentlicht in: | IOP conference series. Materials Science and Engineering 2020-07, Vol.883 (1), p.12128 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | 12128 |
container_title | IOP conference series. Materials Science and Engineering |
container_volume | 883 |
creator | Khamidov, Sh Normuratov, B Pulatov, B Kilichov, O |
description | A mathematical model is presented for optimizing power flows in an electric network with a flexible controlled alternating current power transmission device - FACTS. The range of questions on the problem of optimizing the power flow in electric networks with one of the FACTS devices, the SVC static power factor compensator, has been expanded and investigated. The Lagrange function for the SVC device is proposed, which serves as the basis for obtaining a linearized equation and determining the optimum of the objective function. The method and algorithm of the optimization problem in the electric power system containing devices of the FACTS technology have been synthesized. The mathematical model allows for flexible and reliable optimization of the electrical power system. Flexibility is explained by the universality of the model, and reliability is explained by the high convergence rate of the Newton method used. |
doi_str_mv | 10.1088/1757-899X/883/1/012128 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2562593778</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2562593778</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2368-ffd81639f688ef793c6aa9931984c7c90223b3751712059bbd9d4b86c8388d23</originalsourceid><addsrcrecordid>eNqFkE1LxDAQhoMouK7-BQl4rs1Hm0xOIotfIOxlD95CmyZu1m5Tky6L_nq7VNajpxmY93kHHoSuKbmlBCCnspQZKPWWA_Cc5oQyyuAEzY6H0-MO9BxdpLQhRMiiIDN0t-wHv_Xf1eBDh4PDfdjbiF0b9nhYx7B7X2NXmSFh32HbWjNEb6oWd3bYh_iRLtGZq9pkr37nHK0eH1aL5-x1-fSyuH_NDOMCMucaoIIrJwCsk4obUVVKcaqgMNIowhivuSyppIyUqq4b1RQ1CAMcoGF8jm6m2j6Gz51Ng96EXezGj5qVgpWKSwljSkwpE0NK0TrdR7-t4pemRB9c6YMGfVCiR1ea6snVCLIJ9KH_a_4H-gGVP2r0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2562593778</pqid></control><display><type>article</type><title>Optimization of power flow through facts in electrical networks</title><source>Institute of Physics Open Access Journal Titles</source><source>Institute of Physics IOPscience extra</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Khamidov, Sh ; Normuratov, B ; Pulatov, B ; Kilichov, O</creator><creatorcontrib>Khamidov, Sh ; Normuratov, B ; Pulatov, B ; Kilichov, O</creatorcontrib><description>A mathematical model is presented for optimizing power flows in an electric network with a flexible controlled alternating current power transmission device - FACTS. The range of questions on the problem of optimizing the power flow in electric networks with one of the FACTS devices, the SVC static power factor compensator, has been expanded and investigated. The Lagrange function for the SVC device is proposed, which serves as the basis for obtaining a linearized equation and determining the optimum of the objective function. The method and algorithm of the optimization problem in the electric power system containing devices of the FACTS technology have been synthesized. The mathematical model allows for flexible and reliable optimization of the electrical power system. Flexibility is explained by the universality of the model, and reliability is explained by the high convergence rate of the Newton method used.</description><identifier>ISSN: 1757-8981</identifier><identifier>EISSN: 1757-899X</identifier><identifier>DOI: 10.1088/1757-899X/883/1/012128</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Algorithms ; Compensators ; Electric power systems ; Electrical networks ; Electricity distribution ; Flexible AC power transmission systems ; Mathematical analysis ; Mathematical models ; Newton methods ; Optimization ; Power factor ; Power flow</subject><ispartof>IOP conference series. Materials Science and Engineering, 2020-07, Vol.883 (1), p.12128</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-c2368-ffd81639f688ef793c6aa9931984c7c90223b3751712059bbd9d4b86c8388d23</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/883/1/012128/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27924,27925,38868,38890,53840,53867</link.rule.ids></links><search><creatorcontrib>Khamidov, Sh</creatorcontrib><creatorcontrib>Normuratov, B</creatorcontrib><creatorcontrib>Pulatov, B</creatorcontrib><creatorcontrib>Kilichov, O</creatorcontrib><title>Optimization of power flow through facts in electrical networks</title><title>IOP conference series. Materials Science and Engineering</title><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><description>A mathematical model is presented for optimizing power flows in an electric network with a flexible controlled alternating current power transmission device - FACTS. The range of questions on the problem of optimizing the power flow in electric networks with one of the FACTS devices, the SVC static power factor compensator, has been expanded and investigated. The Lagrange function for the SVC device is proposed, which serves as the basis for obtaining a linearized equation and determining the optimum of the objective function. The method and algorithm of the optimization problem in the electric power system containing devices of the FACTS technology have been synthesized. The mathematical model allows for flexible and reliable optimization of the electrical power system. Flexibility is explained by the universality of the model, and reliability is explained by the high convergence rate of the Newton method used.</description><subject>Algorithms</subject><subject>Compensators</subject><subject>Electric power systems</subject><subject>Electrical networks</subject><subject>Electricity distribution</subject><subject>Flexible AC power transmission systems</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Newton methods</subject><subject>Optimization</subject><subject>Power factor</subject><subject>Power flow</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>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkE1LxDAQhoMouK7-BQl4rs1Hm0xOIotfIOxlD95CmyZu1m5Tky6L_nq7VNajpxmY93kHHoSuKbmlBCCnspQZKPWWA_Cc5oQyyuAEzY6H0-MO9BxdpLQhRMiiIDN0t-wHv_Xf1eBDh4PDfdjbiF0b9nhYx7B7X2NXmSFh32HbWjNEb6oWd3bYh_iRLtGZq9pkr37nHK0eH1aL5-x1-fSyuH_NDOMCMucaoIIrJwCsk4obUVVKcaqgMNIowhivuSyppIyUqq4b1RQ1CAMcoGF8jm6m2j6Gz51Ng96EXezGj5qVgpWKSwljSkwpE0NK0TrdR7-t4pemRB9c6YMGfVCiR1ea6snVCLIJ9KH_a_4H-gGVP2r0</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Khamidov, Sh</creator><creator>Normuratov, B</creator><creator>Pulatov, B</creator><creator>Kilichov, O</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>20200701</creationdate><title>Optimization of power flow through facts in electrical networks</title><author>Khamidov, Sh ; Normuratov, B ; Pulatov, B ; Kilichov, O</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2368-ffd81639f688ef793c6aa9931984c7c90223b3751712059bbd9d4b86c8388d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Compensators</topic><topic>Electric power systems</topic><topic>Electrical networks</topic><topic>Electricity distribution</topic><topic>Flexible AC power transmission systems</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Newton methods</topic><topic>Optimization</topic><topic>Power factor</topic><topic>Power flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khamidov, Sh</creatorcontrib><creatorcontrib>Normuratov, B</creatorcontrib><creatorcontrib>Pulatov, B</creatorcontrib><creatorcontrib>Kilichov, O</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</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>Khamidov, Sh</au><au>Normuratov, B</au><au>Pulatov, B</au><au>Kilichov, O</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of power flow through facts in electrical networks</atitle><jtitle>IOP conference series. Materials Science and Engineering</jtitle><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><date>2020-07-01</date><risdate>2020</risdate><volume>883</volume><issue>1</issue><spage>12128</spage><pages>12128-</pages><issn>1757-8981</issn><eissn>1757-899X</eissn><abstract>A mathematical model is presented for optimizing power flows in an electric network with a flexible controlled alternating current power transmission device - FACTS. The range of questions on the problem of optimizing the power flow in electric networks with one of the FACTS devices, the SVC static power factor compensator, has been expanded and investigated. The Lagrange function for the SVC device is proposed, which serves as the basis for obtaining a linearized equation and determining the optimum of the objective function. The method and algorithm of the optimization problem in the electric power system containing devices of the FACTS technology have been synthesized. The mathematical model allows for flexible and reliable optimization of the electrical power system. Flexibility is explained by the universality of the model, and reliability is explained by the high convergence rate of the Newton method used.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1757-899X/883/1/012128</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1757-8981 |
ispartof | IOP conference series. Materials Science and Engineering, 2020-07, Vol.883 (1), p.12128 |
issn | 1757-8981 1757-899X |
language | eng |
recordid | cdi_proquest_journals_2562593778 |
source | Institute of Physics Open Access Journal Titles; Institute of Physics IOPscience extra; EZB-FREE-00999 freely available EZB journals; Free Full-Text Journals in Chemistry |
subjects | Algorithms Compensators Electric power systems Electrical networks Electricity distribution Flexible AC power transmission systems Mathematical analysis Mathematical models Newton methods Optimization Power factor Power flow |
title | Optimization of power flow through facts in electrical networks |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T02%3A48%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimization%20of%20power%20flow%20through%20facts%20in%20electrical%20networks&rft.jtitle=IOP%20conference%20series.%20Materials%20Science%20and%20Engineering&rft.au=Khamidov,%20Sh&rft.date=2020-07-01&rft.volume=883&rft.issue=1&rft.spage=12128&rft.pages=12128-&rft.issn=1757-8981&rft.eissn=1757-899X&rft_id=info:doi/10.1088/1757-899X/883/1/012128&rft_dat=%3Cproquest_cross%3E2562593778%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2562593778&rft_id=info:pmid/&rfr_iscdi=true |