实时电价下电动出租车优化调度策略-研究

实时电价下电动出租车优化调度策略-研究

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时间:2019-01-30

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1、AbstractWiththeprosperityofsmartgrid,electricvehicles(EVs),emergingasatypicalcleanenergytransportation,achieveafastdevelopment.Meanwhile,thetime—varyingelectricitypricesmakeitpossiblefortheschedulingofEVschargingaswellastheinteractionbetweenEVsandthedistribu

2、tiongrid.Essentially,anEVcanberegardedasenergystorage.SelectingproperchargingslotwillcontributetothecostreductionforanindividualEV.Basedonthechargingbehavior,EVscanbedividedintotwocategories:privateandpublic.Comparedwiththeprivateones,publicEVspossessmorecom

3、plicatedchargingbehaviorandconsumemuchmorepowersincetheykeepservingthepublicallthetime.Consequently,itisimportanttoschedulepublicEVscharging.Inthisstudy,wefocusontheschedulingofPlug·inElectricTaxies(PET)charging.First—ly,itisassumedthatthePEToperatesideallyw

4、ithalinearbatterymodeltargetingatminimiz—ingchargingcost.Consideringthelimitationofbatterycapacity,theproblemismodeledasaMarkovdecisionprocess.Duetotherandomnessofreal.timeprices,weutilizestochasticdynam—icprogrammingandproposeabackwardinductionthresholdcomp

5、utingalgorithmtocalculatethethresholdsinadvance.ThePETcanmakedecisionbysimplycomparingtheactualpricewiththethreshold.Thetheoreticalanalysisofthealgorithmisalsoprovided.Secondly,basedonthepreviousscenario,theadditionalcostandbatterylossareconsideredandarealis

6、ticbatterymodelisappliedleadingtoanonlinearchargingprocess.Then,thepreviousalgorithmisemployedhereanditseffectivenessisverifiedthroughsimulation.Finally,toobtainaglobaloptimalsolution,weutilizetheperiodicityofmeanpricestOtransfertheproblemfrominfinitetimehor

7、izontOfinitetimeduration.Thentheoptimalsystemcycle,controlsequenceandinitialcapacityareobtainedbyusingbinaryintegerprogramming.Theoptimalityofouralgorithmisalsoprovenrigorously·Atlast,amethodforconvertinganarbitraryinitialcapacityintotheoptimaloneisproposeda

8、ndtheperformanceoflocaloptimalalgorithmandglobaloptimaliscontrastedthroughMATLAB.Keywords:SmartGrid,Plug—inElectricTaxies,BackwardInduction,BinaryProgrammingV插图1.1电动出租车运营调度优化场景⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯

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