Optimal coordinated voltage control for power system voltage stability
An optimal coordinated voltage controller (OCVC) is developed based on the spirit of model predictive control (MPC) method. The OCVC consists of three components, namely a predictor, a control candidate pool, and a selector. It has been used in secondary voltage control (SVC) to coordinate dissimila...
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Veröffentlicht in: | IEEE transactions on power systems 2004-05, Vol.19 (2), p.1115-1122 |
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creator | Wen, J.Y. Wu, Q.H. Turner, D.R. Cheng, S.J. Fitch, J. |
description | An optimal coordinated voltage controller (OCVC) is developed based on the spirit of model predictive control (MPC) method. The OCVC consists of three components, namely a predictor, a control candidate pool, and a selector. It has been used in secondary voltage control (SVC) to coordinate dissimilar control actions at different geographical locations in order to maintain desired voltage profiles in a global sense in emergencies. A single-stage Euler state predictor (SESP) is utilized, based on the system model, to predict voltage performance under selected control actions; the selection of the optimum control action from the pool is a complex optimization problem that is achieved by a pseudogradient evolutionary programming (PGEP) technique. Simulation results on a six-bus benchmark system and the New England 10-generator-39-bus system are given to show the potential of this method for online usage. |
doi_str_mv | 10.1109/TPWRS.2004.825897 |
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The OCVC consists of three components, namely a predictor, a control candidate pool, and a selector. It has been used in secondary voltage control (SVC) to coordinate dissimilar control actions at different geographical locations in order to maintain desired voltage profiles in a global sense in emergencies. A single-stage Euler state predictor (SESP) is utilized, based on the system model, to predict voltage performance under selected control actions; the selection of the optimum control action from the pool is a complex optimization problem that is achieved by a pseudogradient evolutionary programming (PGEP) technique. 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(IEEE) 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-203bc15bd64bd29d2eb2c05d148d29120d6704a97d649914892ce4d7a44f34303</citedby><cites>FETCH-LOGICAL-c353t-203bc15bd64bd29d2eb2c05d148d29120d6704a97d649914892ce4d7a44f34303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1295023$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1295023$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wen, J.Y.</creatorcontrib><creatorcontrib>Wu, Q.H.</creatorcontrib><creatorcontrib>Turner, D.R.</creatorcontrib><creatorcontrib>Cheng, S.J.</creatorcontrib><creatorcontrib>Fitch, J.</creatorcontrib><title>Optimal coordinated voltage control for power system voltage stability</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>An optimal coordinated voltage controller (OCVC) is developed based on the spirit of model predictive control (MPC) method. The OCVC consists of three components, namely a predictor, a control candidate pool, and a selector. It has been used in secondary voltage control (SVC) to coordinate dissimilar control actions at different geographical locations in order to maintain desired voltage profiles in a global sense in emergencies. A single-stage Euler state predictor (SESP) is utilized, based on the system model, to predict voltage performance under selected control actions; the selection of the optimum control action from the pool is a complex optimization problem that is achieved by a pseudogradient evolutionary programming (PGEP) technique. Simulation results on a six-bus benchmark system and the New England 10-generator-39-bus system are given to show the potential of this method for online usage.</description><subject>Control systems</subject><subject>Electric potential</subject><subject>Emergencies</subject><subject>Genetic programming</subject><subject>Mathematical models</subject><subject>Optimal control</subject><subject>Optimization</subject><subject>Pools</subject><subject>Power system control</subject><subject>Power system modeling</subject><subject>Power system stability</subject><subject>Power systems</subject><subject>Predictive control</subject><subject>Predictive models</subject><subject>Selectors</subject><subject>Static VAr compensators</subject><subject>Voltage</subject><subject>Voltage control</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kU1Lw0AQQBdRsFZ_gHgJHvSUOvuV7B6lWBUKFa14XJLsRlLSbNzdKv33bo0oePA0zMybgZmH0CmGCcYgr5YPL49PEwLAJoJwIfM9NMKcixSyXO6jEQjBUyE5HKIj71cAkMXGCM0WfWjWRZtU1jrddEUwOnm3bSheTax1wdk2qa1LevthXOK3Ppj1D-BDUTZtE7bH6KAuWm9OvuMYPc9ultO7dL64vZ9ez9OKchpSArSsMC91xkpNpCamJBVwjZmIKSagsxxYIfMISBmrklSG6bxgrKaMAh2jy2Fv7-zbxvig1o2vTNsWnbEbr4TMCCZY0khe_EsSwbHMBI7g-R9wZTeui1coIajgjEMeITxAlbPeO1Or3sW3ua3CoHYC1JcAtROgBgFx5myYaYwxvzyJEgiln5lUgUM</recordid><startdate>20040501</startdate><enddate>20040501</enddate><creator>Wen, J.Y.</creator><creator>Wu, Q.H.</creator><creator>Turner, D.R.</creator><creator>Cheng, S.J.</creator><creator>Fitch, J.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><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><scope>F28</scope></search><sort><creationdate>20040501</creationdate><title>Optimal coordinated voltage control for power system voltage stability</title><author>Wen, J.Y. ; Wu, Q.H. ; Turner, D.R. ; Cheng, S.J. ; Fitch, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-203bc15bd64bd29d2eb2c05d148d29120d6704a97d649914892ce4d7a44f34303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Control systems</topic><topic>Electric potential</topic><topic>Emergencies</topic><topic>Genetic programming</topic><topic>Mathematical models</topic><topic>Optimal control</topic><topic>Optimization</topic><topic>Pools</topic><topic>Power system control</topic><topic>Power system modeling</topic><topic>Power system stability</topic><topic>Power systems</topic><topic>Predictive control</topic><topic>Predictive models</topic><topic>Selectors</topic><topic>Static VAr compensators</topic><topic>Voltage</topic><topic>Voltage control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wen, J.Y.</creatorcontrib><creatorcontrib>Wu, Q.H.</creatorcontrib><creatorcontrib>Turner, D.R.</creatorcontrib><creatorcontrib>Cheng, S.J.</creatorcontrib><creatorcontrib>Fitch, J.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</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><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wen, J.Y.</au><au>Wu, Q.H.</au><au>Turner, D.R.</au><au>Cheng, S.J.</au><au>Fitch, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal coordinated voltage control for power system voltage stability</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2004-05-01</date><risdate>2004</risdate><volume>19</volume><issue>2</issue><spage>1115</spage><epage>1122</epage><pages>1115-1122</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>An optimal coordinated voltage controller (OCVC) is developed based on the spirit of model predictive control (MPC) method. The OCVC consists of three components, namely a predictor, a control candidate pool, and a selector. It has been used in secondary voltage control (SVC) to coordinate dissimilar control actions at different geographical locations in order to maintain desired voltage profiles in a global sense in emergencies. A single-stage Euler state predictor (SESP) is utilized, based on the system model, to predict voltage performance under selected control actions; the selection of the optimum control action from the pool is a complex optimization problem that is achieved by a pseudogradient evolutionary programming (PGEP) technique. Simulation results on a six-bus benchmark system and the New England 10-generator-39-bus system are given to show the potential of this method for online usage.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2004.825897</doi><tpages>8</tpages></addata></record> |
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subjects | Control systems Electric potential Emergencies Genetic programming Mathematical models Optimal control Optimization Pools Power system control Power system modeling Power system stability Power systems Predictive control Predictive models Selectors Static VAr compensators Voltage Voltage control |
title | Optimal coordinated voltage control for power system voltage stability |
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