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1、196IEEESYSTEMSJOURNAL,VOL.6,NO.2,JUNE2012ReducingVariationinSolarEnergySupplyThroughFrequencyDomainAnalysisChandrashekharLavania,ShrishaRao,Member,IEEE,andEswaranSubrahmanianAbstractSolarirradiationtendstovarygreatlythroughoutThemotivationtoreducethevariationinthesol
2、arpowertheday.ThedifferenceisverylargeespeciallybetweentheearlysupplyisillustratedinFigs.1and2,whichdepictdatahoursofsunshine,andduringthepeakhoursoftheday.Yet,itfromtheRenoregioninNevada.Fig.1showsthataisdesirabletosupplyanearlyconstantamountofpowertoloadsorpowergri
3、dsforhighreliability.Hence,weproposeatechniquedailyvariationinhourlysolarirradiationvaluesofupto600W/m2iseasilypossibleduringthetimeperiodbetweenaimedatreducingthevariationinsolarpowergeneration.Solarirradiationdataisconsideredasatime-seriesdataand8A.M.and5P.M.,i.e.,
4、theirradiationvaluesbetweenthepeaktheapproachinvolvesconversionofthisdatatothefrequencyhourandthebeginningmaydifferbyaround600W/m2.ItalsodomainthroughFourieranalysis.Amorebalancedsupplybyshowsthatalargenumberofdaysinayearhavehugedailyasetofplantsisdevisedbyinterconne
5、ctingtheplants,whichalsorequiresfindingtheoptimumnumberofplantstoconnectvariationsinsolarirradiation,therebyaffectingtheoverallusingtheaboveanalysis.Theeffectivenessoftheprocedureisconsistencyofthepowersupply.demonstratedbyapplyingasuitablesupplypredictionalgorithmSim
6、ilarly,Fig.2indicatesthatadifferenceof200W/m2isovertheindividualplantsandtheeffectivedatafortheplants,quitecommonbetweentheirradiationvaluesforconsecutiveusingrealdatafromNevada,Texas,andCalifornia.hours.Heretoo,likeFig.1,thedataarefrom8A.M.untilIndexTermsAlternative
7、energy,frequencydomainanalysis,5P.M.Consideraplantthatgeneratespowerbycollectingsaturation,solarirradiation,solarpowerplants,supplypredic-solarradiationfromanareaofsize1000m2.Ifweconsidertion.aconversionefficiencyof20%inthesolarpowertechnol-ogyused,thedifferencebetwee
8、nthepowersupplybetweenI.Introductionconsecutivehourswouldbearound40kW.ThisisalargeHEUSEofalternativeenergysourcesisgainingpop-varia
