V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm
The reactive power control has as its main objectives for reducing losses, increasing transmission capacity, and maintaining voltage within acceptable limits. This paper suggests using SVC (Static VAr Compensator) for Iraqi National Super High Voltage (SHV) Grid System (400 kV). The aim is to improv...
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Veröffentlicht in: | International journal of computer applications 2013-01, Vol.66 (12) |
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creator | Hassonny, H A Pfeiffer, K Tuaimah, Firas M |
description | The reactive power control has as its main objectives for reducing losses, increasing transmission capacity, and maintaining voltage within acceptable limits. This paper suggests using SVC (Static VAr Compensator) for Iraqi National Super High Voltage (SHV) Grid System (400 kV). The aim is to improve voltage profile across the load nodes and enhance system stability as well as to reduce active power losses, which depends greatly on how these devices are placed in the system. The general problem to optimally determine the locations and sizes of SVC's to be installed by following an optimization approach. GA, as one of the heuristic methods, will be used to solve the optimization problem. |
doi_str_mv | 10.5120/11136-6215 |
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This paper suggests using SVC (Static VAr Compensator) for Iraqi National Super High Voltage (SHV) Grid System (400 kV). The aim is to improve voltage profile across the load nodes and enhance system stability as well as to reduce active power losses, which depends greatly on how these devices are placed in the system. The general problem to optimally determine the locations and sizes of SVC's to be installed by following an optimization approach. 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This paper suggests using SVC (Static VAr Compensator) for Iraqi National Super High Voltage (SHV) Grid System (400 kV). The aim is to improve voltage profile across the load nodes and enhance system stability as well as to reduce active power losses, which depends greatly on how these devices are placed in the system. The general problem to optimally determine the locations and sizes of SVC's to be installed by following an optimization approach. GA, as one of the heuristic methods, will be used to solve the optimization problem.</description><subject>Acceptability</subject><subject>Electric potential</subject><subject>Gallium</subject><subject>High voltages</subject><subject>Optimization</subject><subject>Reactive power</subject><subject>VAR</subject><subject>Voltage</subject><issn>0975-8887</issn><issn>0975-8887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNpdj89rwjAcxcPYYOK87C_4wi67dDZJmx9HKZsKMseUXiU2iUbaRpv0sP_eju0w9i7vPfjw4CH0iNOXHJN0ijGmLGEE5zdolEqeJ0IIfvsn36NJCKd0EJWEyWyEVDktZ59Q-DZ2vgbrO4hHA8tOXRy8q-h8q2rYLEqYd07D_gvW5-iavoGPWlWmMW0Eb2FTFtAH1x5gbloTXQWz-uA7F4_NA7qzqg5m8utjtH173RaLZLWeL4vZKjkzTBOr91gpaq0SOM-V4gKzigilKafCpJaxoUhprRZqLyuNK5IZjjXJaKYtkXSMnn9mz52_9CbEXeNCZepatcb3YYdpJjNKKKMD-vQPPfm-G35-U5jzlLKc0SsXK2K0</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Hassonny, H A</creator><creator>Pfeiffer, K</creator><creator>Tuaimah, Firas M</creator><general>Foundation of Computer Science</general><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20130101</creationdate><title>V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm</title><author>Hassonny, H A ; Pfeiffer, K ; Tuaimah, Firas M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p613-fdb1aa3ffa8155aa7816c28ad3738e0f6628a99ffd8ab9cd1c24e71d2434df293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Acceptability</topic><topic>Electric potential</topic><topic>Gallium</topic><topic>High voltages</topic><topic>Optimization</topic><topic>Reactive power</topic><topic>VAR</topic><topic>Voltage</topic><toplevel>online_resources</toplevel><creatorcontrib>Hassonny, H A</creatorcontrib><creatorcontrib>Pfeiffer, K</creatorcontrib><creatorcontrib>Tuaimah, Firas M</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of computer applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hassonny, H A</au><au>Pfeiffer, K</au><au>Tuaimah, Firas M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm</atitle><jtitle>International journal of computer applications</jtitle><date>2013-01-01</date><risdate>2013</risdate><volume>66</volume><issue>12</issue><issn>0975-8887</issn><eissn>0975-8887</eissn><abstract>The reactive power control has as its main objectives for reducing losses, increasing transmission capacity, and maintaining voltage within acceptable limits. This paper suggests using SVC (Static VAr Compensator) for Iraqi National Super High Voltage (SHV) Grid System (400 kV). The aim is to improve voltage profile across the load nodes and enhance system stability as well as to reduce active power losses, which depends greatly on how these devices are placed in the system. The general problem to optimally determine the locations and sizes of SVC's to be installed by following an optimization approach. GA, as one of the heuristic methods, will be used to solve the optimization problem.</abstract><cop>New York</cop><pub>Foundation of Computer Science</pub><doi>10.5120/11136-6215</doi></addata></record> |
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subjects | Acceptability Electric potential Gallium High voltages Optimization Reactive power VAR Voltage |
title | V/VAR Control for the Iraqi National SHV Grid by Optimum Placement of SVC using Genetic Algorithm |
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