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1、1ReactivePowerandVoltageControloftheNigerianGridSystemUsingMicro-GeneticAlgorithmG.A.Bakare,Member,IEEE,G.K.Venayagamoorthy,SeniorMember,IEEE,andU.O.Aliyu,Member,IEEEresultnotonlythevoltageprofilesarekeptwithinthedesiredAbstract--Inthispaper,amicro-geneticbasedapproachtothelimitsbutalsothepowerlos
2、sesarereduced.optimizationofreactivepowerandvoltageprofilesimprovementOvertheyears,manyusefulstudies[1-3]basedonclassicalandrealpowerlossminimizationispresented.Thereactivetechniquesforsolvingreactivepowerdispatchproblemhavepowercontroldevicessuchasgenerators,tappositionsofon-loadbeencarriedout.Th
3、isincludesnonlinearprogrammingtapchangeroftransformers,shuntreactorsareusedtocorrect(NLP),successivelinearprogramming,mixedintegervoltagelimitsviolationswhilesimultaneouslyreducingthesystemprogramming,Newtonandquadratictechniques.Mostofrealpowerlosses.GeneticAlgorithms(GAs)arewell-knowntheseapproa
4、chescanbebroadlycategorizedasconstrainedglobalsearchtechniquesanchoredonthemechanismsofnaturaloptimizationtechniques.selectionandgenetics.BecauseofthetimeintensivenatureoftheconventionalGA,themicro-GAisproposedasamoretimeEventhoughthesetechniqueshavebeensuccessfullyefficientalternative.Thefeasibil
5、ityandeffectivenessoftheutilizedinsomesamplepowersystems,therearestillseveraldevelopedalgorithmistestedandverifiedontheNigeriangridissuestobeaddressedwithregardtorealpowersystems.powersystemforthreecasestudiesscenariospresetinthepowerUndoubtedly,thereactivepowercontrolproblemisworldsimulator.Thefa
6、r-reachingsimulationresultsthatvalidateessentiallyaglobaloptimizationwithseverallocalminima.theeffectivenessofthedevelopedtoolarepresentedandThefirstobviousproblemiswherealocalminimumisdiscussedindepth.returnedinsteadofauniqueglobalminimum.Theseconddifficultyistheinherentintegernatureoftheproblem.
7、MostIndexTerms--Voltage/reactivepowercontrol,micro-geneticcontroldevices(transformertappositions,shuntcapacitorandalgorithm,varyingfitnessfunction,Nigeriangrid.reactorbanks)havepre-specifieddiscretevalues.Thusnom
