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时间:2019-05-24
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1、ElectricPowerSystemsResearch80(2010)878–885ContentslistsavailableatScienceDirectElectricPowerSystemsResearchjournalhomepage:www.elsevier.com/locate/epsrOptimalpowerflowusingdifferentialevolutionalgorithmA.A.AbouElElaa,M.A.Abidob,S.R.Speaa,∗aElectricalEngineeringDe
2、partment,FacultyofEngineering,MenoufiyaUniversity,EgyptbElectricalEngineeringDepartment,KingFahdUniversityofPetroleumandMinerals,SaudiArabiaarticleinfoabstractArticlehistory:Thispaperpresentsanevolutionary-basedapproachtosolvetheoptimalpowerflow(OPF)problem.Receive
3、d9July2008Theproposedapproachemploysdifferentialevolution(DE)algorithmforoptimalsettingsofOPFcontrolReceivedinrevisedform12October2009variables.TheproposedapproachisexaminedandtestedonthestandardIEEE30-bustestsystemwithAccepted30December2009differentobjectivefunc
4、tionsthatreflectfuelcostminimization,voltageprofileimprovement,andvoltageAvailableonline27January2010stabilityenhancement.Inaddition,non-smoothpiecewisequadraticcostfunctionhasbeenconsidered.Thesimulationresultsoftheproposedapproacharecomparedtothosereportedintheli
5、terature.TheKeywords:resultsdemonstratethepotentialoftheproposedapproachandshowitseffectivenessandrobustnessOptimalpowerflowtosolvetheOPFproblemforthesystemsconsidered.DifferentialevolutionalgorithmFuelcostminimization©2010ElsevierB.V.Allrightsreserved.Voltageprofi
6、leimprovementVoltagestabilityenhancement1.IntroductiontheOPFproblemisanoptimizationproblemwithingeneralnon-convex,non-smooth,andnon-differentiableobjectivefunctions.Inthepasttwodecades,theproblemofoptimalpowerflowItbecomesessentialtodevelopoptimizationtechniquesth
7、atare(OPF)hasreceivedmuchattention.Itisofcurrentinterestofefficienttoovercomethesedrawbacksandhandlesuchdifficulties.manyutilitiesandithasbeenmarkedasoneofthemostopera-Recently,evolutionaryoptimizationtechniqueshavebeenusedtionalneeds.TheOPFproblemsolutionaimstoopt
8、imizeaselectedtosolveOPFproblemtoovercomethelimitationsofclassicalobjectivefunctionviaoptimaladjustmentsofthepowersystemoptimizationtechniques.Awidevarietyofhe
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