基于風(fēng)險(xiǎn)分析的變電站選址優(yōu)化研究

1、華北電力大學(xué)(北京)碩士學(xué)位論文基于風(fēng)險(xiǎn)分析的變電站選址優(yōu)化研究姓名：方銳申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：工商管理；技術(shù)經(jīng)濟(jì)及管理指導(dǎo)教師：何永秀201102華北電力大學(xué)碩士學(xué)位論文AbstractWiththempiddeVelopmentofsocialeconomyandtheinc他嬲ingofthecityele嘶cityload，thehigherrequirementSofurbanpowernetwoIkoptimization

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4、rationsoptimizationtlleoryThemodelimprovetheIimitationoftheminimumcoStobjective如ncti∞inthelocationoptimization，柚dthenthem觚imumprofito協(xié)ectiVemnctionduringthewholeli凳cyclewaSputforwardintheinnovativeway’thefeasibilityofthe

5、optimizationresultsw弱鋤alyzedthoughfcomparingwiththe昀ditionaloptimization鋤dintelIigentoptimizationTheuncenainriskswereanaIyzedinthesubstationlocationoptimizationbasedontherisktheory’whichcombinedwiththewholc!i危cycle，andwe

6、reevaluatedbythemodeIofInterpretatiVeStllJcturalModeling，andalsothestatiSticsfhnctionofprobabIitytheo∥wasintroducedintotheoptimization，thedistribution如nctionoftheuncenainrisksinthesubstationlocationoptimizationduringthew

7、holeIifecyclew於analyzed。andthenthekeyrisksourcewasanalyzedquantitativeIy；Basedontheriskanalysis，themaximumriskprofit如nctionofthelocationoptimizationmodelw邵putfonⅣard，intowhichthemulti—sourcelocationproblemwasintroduced，t

8、heapplicabilityofthemodelsbaSedonintelligentgeneticalgorithmandnonlinear0ptimizationw鵲analyzedExample柚alysisshowsthatthemodelinthispaperimprovedthescience粕dapplicabil時(shí)ofsubstationlocation，andhadacenaindirectivesignific卸c