The impact of wind power plants on slow voltage variations in distribution networks.docx
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The impact of wind power plants on slow voltage variations in distribution networks.docx
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Theimpactofwindpowerplantsonslowvoltagevariationsindistributionnetworks
Economicanalysisofstandaloneandgridconnectedhybridenergysystems OriginalResearchArticle
RenewableEnergy,Volume36,Issue7,July2011,Pages1931-1943
BelginEmreTürkay,AliYasinTelli
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Abstract
Apilotregionwasselectedandcostanalysisofusingrenewableenergysourceswithahydrogensystemforthatregion’senergydemandisintroduced,inatechno-economicperspective,inthispaper.Therenewableenergypotentialfortheregionwasevaluatedbyimplementingenergycostanalysis.Thestudyalsoevaluatesthefeasibilityofutilizingsolarandwindenergywithhydrogenasastorageunittomeettheelectricityrequirementsofthepilotregionasastandalonesystemandinconjunctionwiththeconventionalgridbasedelectricity.
Inordertosimulatetheoperationofthesystemandtocalculatethetechnicalandeconomicparameters,micropoweroptimizationprogramHomer(NREL,US)wasusedinthisstudy.Homerrequiressomeinputvalues,suchastechnologicaloptions,costofcomponents,andresourcecompliance;andthentheprogramrangesthefeasiblesystemconfigurationsaccordingtothenetpresentcost(systemcost)byusingtheseinputs.
Thepilotregioninthisstudy,wheretherenewablebasedenergywillbeused,isdeterminedtobeElectrics&ElectronicsFaculty,IstanbulTechnicalUniversity.
ArticleOutline
1.Introduction
2.Materialandmethods
2.1.Systemandcomponents
3.Loadandenergycharacteristicsoftheregion
3.1.Methodology
4.Theoryandcalculation
4.1.Standalonesystem(SA)
4.1.1.Effectsofcomponentcoststothesystem
4.1.2.Effectsofcapacityshortagefractiontothesystem
4.2.Gridconnectedsystem
4.2.1.Effectsofelectricityratetothesystem
4.2.2.Effectsofcomponentcoststothesystem
5.Simulationresults
6.Conclusions
References
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23
Optimalconfigurationofanintegratedpowerandtransportsystem OriginalResearchArticle
Energy,InPress,CorrectedProof,Availableonline23April2011
NinaJuul,PeterMeibom
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Abstract
Integratingthepowerandtransportsystem,inthefutureenergysystemplanning,influencestheeconomicallyoptimalinvestmentsandoptimaloperationofthepowersystemaswellasthetransportsystem.Foranalysingtheintegratedpowerandtransportsystemanewmodelcapableofcalculatingoptimalinvestmentsinbothpowerplantsandvehicletechnologiesispresentedinthisarticle.Themodelincludestheinteractionsbetweenthepowersystemandthetransportsystemincludingthecompetitionbetweenflexibilitymeasuressuchashydrogenstorageincombinationwithelectrolysis,heatstorageincombinationwithheatpumpsandheatboilers,andplug-inelectricvehicles.
ArticleOutline
1.Introduction
2.TheBalmorelmodel
3.Thetransportadd-on
3.1.Thetransportmodel
3.1.1.Assumptions
3.1.2.Costs
3.1.3.Transportdemand
3.1.4.Powerflows
3.1.4.1.Balancingon-boardelectricstorage
3.1.4.2.Balancingofthepowerbus
3.1.4.3.Outputfromenginetogenerator
3.1.4.4.Storagelevel
3.1.4.5.Capacityrestrictionsonloadingandunloadingofon-boardstorage,powerflowtoandfromgrid,andengineoutput
3.1.4.6.AdditiontotheelectricityflowbalanceequationinBalmorel
3.1.5.Interactionswithhydrogen
4.Application
4.1.Casedescription
5.Results
6.Concludingremarks
Acknowledgements
Appendix.Supplementarymaterial
References
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Highlights
►IntelligentchargingofEDVsresultsinadditionalwindenergyproductionexceedingtransportpowerdemand,thus,winddriveselectrictransport.►Wefindgreatbenefitsofintegratingthepowerandroadtransportsystems,especiallyintermsofincludingmorerenewables.►Thebenefitsofintroducingvehicle-to-gridaresmallandonlyusedsparsely.
24
AssessmentofwindenergypotentialandoptimalelectricitygenerationinBorj-Cedria,Tunisia ReviewArticle
RenewableandSustainableEnergyReviews,Volume15,Issue1,January2011,Pages815-820
A.W.Dahmouni,M.BenSalah,F.Askri,C.Kerkeni,S.BenNasrallah
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Abstract
Inthelastcentury,severalclimatechangeshavebeenobservedinregionsallovertheworld.Themaincauseoftheseclimaticchangesistheriseoffossilfueluses,whichisduetotheimportantdemographicandindustrialdevelopment.Thesenegativeeffectshaveforcedscientiststodrawattentiontorenewableenergysources,whicharethemostsuitablesolutioninthefuture.Inthispaper,windenergypotentialwasestimatedusingthewindspeeddatacollectedbytwometeorologicalstationsinstalledintheCentreofResearchandTechnologiesofEnergy(CRTEn)intheBorj-Cedriaarea.Thedatacollectedat30,20and10 mheightduring2008and2009,havepermittedustoestimatetheseasonalmeanwindspeed,windspeeddistributionandwindpowerdensity.Theresultshavebeenusedtoestimatethenetenergyoutputofseven1.5 MWwindturbineswithtakenaccounttheairdensitycorrectionandthepowerlossesinwindfarm.Thiscomparativesimulationshowsdifferenceinwindgeneratorsproductionandallowsustochoosethebestwindturbineadaptedtothesiteconditions.
ArticleOutline
1.Introduction
2.Sitedescription
3.Theoreticalmodel
3.1.Weibulldistribution
3.2.Windpowerdensity
3.3.Windspeedextrapolation
3.4.Airdensityestimation
3.5.Powerlossfactor
3.6.Poweroutput
3.7.Meannetpoweroutput
4.Resultsanddiscussion
4.1.Windspeed
4.2.Windspeeddistributionandwindpowerdensity
4.3.Windturbinesnetenergyproduction
5.Conclusion
References
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25
Criticalevaluationoffinancialsupportingschemesforwind-basedprojects:
CasestudyGreece OriginalResearchArticle
EnergyPolicy,Volume39,Issue5,May2011,Pages2490-2500
J.K.Kaldellis
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Abstract
Afteralongstagnatingperiodduringthesecondhalfofthe1990s,themarketofwindenergyinGreecewasdescribedbyremarkablebutunstablegrowthratesthatresultedintheoperationof1 GWofwindpowerbytheendof2009.Stillthough,penetrationofwindenergyisnottheoneanticipated.Ontheotherhand,nationaltargetsregardingtheRenewableEnergySources’(RES)contributionandexistenceofexcellentwindpotentialareasacrossGreecechallengenewwindenergyinvestments.AcknowledgingtheunsteadydevelopmentratesofwindpowerinGreece,efficiencyoftheStatesupportmechanismsiscurrentlyinvestigated.Basedonananalyticalevaluationmodel,theinvestigationundertakenisextendedtoprovideadetailedcost-benefitanalysisofseveralwindenergycasestudies,includingmainlandandislandapplicationsaswellascomparisonwithbothconventionalpowerstationsandphotovoltaicplants.Forthispurpose,thefinancialsupportprovidedbytheStateisdirectlycomparedwithbenefitsaccruingfromtheoperationofwindparks,consideringalsotheavoidanceofsocialcostsderivingfromthermalpowerstations.Basedontheresultsobtained,thebeneficialcharacteristicsofwindenergyapplicationsfortheGreeksocietyareclearlydemonstrated,especiallyinthecaseofnon-interconnectedislandgrids.
ArticleOutline
1.Introduction
2.Descriptionoftheexistingsupportscheme
2.1.Briefpresentationoftheinitialcostsubsidyopportunities
2.2.Thefeed-intariffmechanism
3.Presentationoftheanalyticalmodel
3.1.Assumptionsoftheanalyticalmodel
3.2.Analysisofcostsandbenefits
4.Applicationresultsanddiscussion
4.1.Islandvs.mainlandapplications
4.2.WindparksinvarioussizeGreekislands
4.3.PVinstallationsvs.windparksinsmallislands
5.Conclusions
References
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Researchhighlights
►Sincethemid-1990s,growthofwindpowercapacityinGreecehasbeenunstable.►Asaresult,integrationofwindenergyisnottheoneanticipated.►Consideringthesituation,efficiencyofStatesupportmechanismsisevaluated.►Ananalyticalcost-benefitmodelisdevelopedandappliedtovariouscasestudies.►Benefitsfromwindenergy,especiallyinislandregions,aredesignated.
26
Impactofplug-inhybridelectricvehiclesonpowersystemswithdemandresponseandwindpower OriginalResearchArticle
EnergyPolicy,InPress,CorrectedProof,Availableonline11March2011
JianhuiWang,CongLiu,DanTon,YanZhou,JinhoKim,AnantrayVyas
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Abstract
Thispaperusesanewunitcommitmentmodelwhichcansimulatetheinteractionsamongplug-inhybridelectricvehicles(PHEVs),windpower,anddemandresponse(DR).FourPHEVchargingscenariosaresimulatedfortheIllinoispowersystem:
(1)unconstrainedcharging,
(2)3-hourdelayedconstrainedcharging,(3)smartcharging,and(4)smartchargingwithDR.ThePHEVchargingisassumedtobeoptimallycontrolledbythesystemoperatorinthelattertwoscenarios,alongwithloadshiftingandshavingenabledbyDRprograms.Th
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