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1、’華北I【l力人學(xué)頂lj學(xué)位論文Abstract’11herenewableenergyhascausedmoreattentionbecauseofthe1ncreaslngdepletionoffossilenergyandthedeterioratingofenVironment．Withthefastadvancesofmicro-network，thetechnologyofdistributedgenerationhasbeenrapidlydeVelopped．Thetechnologyofdis
2、tributedgenerationbasedonthemicro-networkhasmanyadvantagessuchaseconomicale師ciency’nexibilityandcompatib訂ity’whichcangreatlyimporVesystemsecurityandeconomicalemciency'enhancethesystemrelidbilityandnexibility'reducethedepletionofnon—renewableresources．Focused
3、ontheresearchonthedistributedgenerationplanningmethodbasedonmicro-grid，thethesisanalyzethedif．ferentmodelsofpowerplanninginordertofindtheef．fectiVealgorithmtosoVletheoptimizations01ution．Finally，thethesisattainstheoptimalplaningaimedatthedistributedgeneratio
4、nplanningmodel．Accordingtotheresearchofthedistributedgenerationplanningmodel，theenconomicmodelbasedonthenumberofmodelindicatorscanbediVidedintothesingle—objectiVemodelandmulti-objectiVemodel．Thispaperhasadopttedgeneticalgorithm，improVedgeneticealgorimmandpar
5、ticleswarnloptimizationtooptimizethesingle—objectiVemodel．wecanfindthattheparticleswamoptimizationhashigheremciencywhichisindicatedbythecomparisonanalysisofthesolution．Thispapertakesuseofmulti—objectiVeeV01utionaryalgorithmandmulti-objectivegenetic10calsearc
6、htooptimizethemulti—objectiVemodelwhichiscompositedbylowinVestmentandhi曲energyoutput．TheresultshowsthatmecostofinVestmenthasgreatinnuenceontheselectionofoptimizationalgoIlitm．theoptimalalgo“thmcorrespondingtothedif-ferentstandardsofinVestmentcosts：itbetterto
7、adoptthemulti—objectiveeV01utionaryalgorithmwhentheinVestmentislow．onthecontrary，themulti—objectiVegeneticlocalsearchisused．Keywords：distributedgenerationplanning，micro—gridmodel，geneticalgorithm，multi—objectiVeeVolutionaryalgorithmH錄目錄摘要????????????????????
8、????????????????????IABSTRACT????????????????????????????????????II第l章緒論????????????????????????????11．1研究背景及意義??????????????????????????l1．2電源規(guī)劃模型綜述??????????????????????．31．2．1常規(guī)電源規(guī)劃模型????????
