File Download
 
Links for fulltext
(May Require Subscription)
 
Supplementary

Article: Ordinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity market
  • Basic View
  • Metadata View
  • XML View
TitleOrdinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity market
 
AuthorsZhao, D2
He, G2
Zhong, J1
Ni, Y1
 
KeywordsGenetic algorithm
Mixed integer optimization
Opportunity cost
Ordinal optimization
Reactive power optimization
 
Issue Date2008
 
CitationDianli Zidonghua Shebei / Electric Power Automation Equipment, 2008, v. 28 n. 2, p. 1-5 [How to Cite?]
 
AbstractGenerators and capacitors are main reactive power sources for reactive load demands and system voltage stability. The cost of reactive power resource should be considered in dispatch optimization, based on which the reactive power market is built. A reactive power optimization model based on reactive power cost is proposed, which regards the on-off of capacitor as O-1 variable. The reactive power optimization becomes the non-linear programming of mixed integers, to which genetic algorithm with cascaded encoding is applied. The ordinal optimization theory is introduced to direct the individual selection and generation times of genetic algorithm. Its reliability is evaluated quantitatively. Simulation results of IEEE 30-bus system show its effectiveness. The operating conditions and relevant benefits are analyzed based on 5 cases.
 
ISSN1006-6047
2013 SCImago Journal Rankings: 0.473
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorZhao, D
 
dc.contributor.authorHe, G
 
dc.contributor.authorZhong, J
 
dc.contributor.authorNi, Y
 
dc.date.accessioned2012-08-08T08:33:30Z
 
dc.date.available2012-08-08T08:33:30Z
 
dc.date.issued2008
 
dc.description.abstractGenerators and capacitors are main reactive power sources for reactive load demands and system voltage stability. The cost of reactive power resource should be considered in dispatch optimization, based on which the reactive power market is built. A reactive power optimization model based on reactive power cost is proposed, which regards the on-off of capacitor as O-1 variable. The reactive power optimization becomes the non-linear programming of mixed integers, to which genetic algorithm with cascaded encoding is applied. The ordinal optimization theory is introduced to direct the individual selection and generation times of genetic algorithm. Its reliability is evaluated quantitatively. Simulation results of IEEE 30-bus system show its effectiveness. The operating conditions and relevant benefits are analyzed based on 5 cases.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationDianli Zidonghua Shebei / Electric Power Automation Equipment, 2008, v. 28 n. 2, p. 1-5 [How to Cite?]
 
dc.identifier.epage5
 
dc.identifier.issn1006-6047
2013 SCImago Journal Rankings: 0.473
 
dc.identifier.issue2
 
dc.identifier.scopuseid_2-s2.0-40449141651
 
dc.identifier.spage1
 
dc.identifier.urihttp://hdl.handle.net/10722/155440
 
dc.identifier.volume28
 
dc.languageeng
 
dc.relation.ispartofDianli Zidonghua Shebei / Electric Power Automation Equipment
 
dc.relation.referencesReferences in Scopus
 
dc.subjectGenetic algorithm
 
dc.subjectMixed integer optimization
 
dc.subjectOpportunity cost
 
dc.subjectOrdinal optimization
 
dc.subjectReactive power optimization
 
dc.titleOrdinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity market
 
dc.typeArticle
 
<?xml encoding="utf-8" version="1.0"?>
<item><contributor.author>Zhao, D</contributor.author>
<contributor.author>He, G</contributor.author>
<contributor.author>Zhong, J</contributor.author>
<contributor.author>Ni, Y</contributor.author>
<date.accessioned>2012-08-08T08:33:30Z</date.accessioned>
<date.available>2012-08-08T08:33:30Z</date.available>
<date.issued>2008</date.issued>
<identifier.citation>Dianli Zidonghua Shebei / Electric Power Automation Equipment, 2008, v. 28 n. 2, p. 1-5</identifier.citation>
<identifier.issn>1006-6047</identifier.issn>
<identifier.uri>http://hdl.handle.net/10722/155440</identifier.uri>
<description.abstract>Generators and capacitors are main reactive power sources for reactive load demands and system voltage stability. The cost of reactive power resource should be considered in dispatch optimization, based on which the reactive power market is built. A reactive power optimization model based on reactive power cost is proposed, which regards the on-off of capacitor as O-1 variable. The reactive power optimization becomes the non-linear programming of mixed integers, to which genetic algorithm with cascaded encoding is applied. The ordinal optimization theory is introduced to direct the individual selection and generation times of genetic algorithm. Its reliability is evaluated quantitatively. Simulation results of IEEE 30-bus system show its effectiveness. The operating conditions and relevant benefits are analyzed based on 5 cases.</description.abstract>
<language>eng</language>
<relation.ispartof>Dianli Zidonghua Shebei / Electric Power Automation Equipment</relation.ispartof>
<subject>Genetic algorithm</subject>
<subject>Mixed integer optimization</subject>
<subject>Opportunity cost</subject>
<subject>Ordinal optimization</subject>
<subject>Reactive power optimization</subject>
<title>Ordinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity market</title>
<type>Article</type>
<description.nature>Link_to_subscribed_fulltext</description.nature>
<identifier.scopus>eid_2-s2.0-40449141651</identifier.scopus>
<relation.references>http://www.scopus.com/mlt/select.url?eid=2-s2.0-40449141651&amp;selection=ref&amp;src=s&amp;origin=recordpage</relation.references>
<identifier.volume>28</identifier.volume>
<identifier.issue>2</identifier.issue>
<identifier.spage>1</identifier.spage>
<identifier.epage>5</identifier.epage>
</item>
Author Affiliations
  1. The University of Hong Kong
  2. Tsinghua University