The impact of wind power plants on slow voltage variations in distribution networks.docx

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.

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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