變電站選址定容優(yōu)化規(guī)劃

1、天津大學(xué)碩士學(xué)位論文變電站選址定容優(yōu)化規(guī)劃姓名：張永伍申請學(xué)位級別：碩士專業(yè)：電力系統(tǒng)及其自動化指導(dǎo)教師：余貽鑫20051201ABSTRACTWiththerapiddevelopmentofexpansionandreformforurbanpowersystemsinChinaurbanpowersystemplanninghasbecomeallurgentwork。Inplanningtheurbanpowersystems，

2、itisanimportantstagebetweenloadforecastandnetworkplanningtoacquireboththelocationsandsizesforsubstationsItsresultwillaffectmanyaspectsdirectlysuchaspowerlineroutingnetworkstructure，powernetworkinvestmentoperationeconomyl

3、evelandpowersupplyreliabilityFocusingonthelowqualityofthesolutiondehvedfromexistingmethods，amoreefficientoptimalplanningmethodforsubstationlocatingandsizingontheengineeringbackgroundisputforwardinthisthesis，whichdividest

4、heproblemintotwosubproblems，iethesonrceslocatingoneandthecombinationaloptimizationoneSofarthecommonsolutionstotheproblemofsourceslocatingareAlternativeLocationAllocation(ALA)methodandGeneticAlgorithm(GA)11圮methodofALAhas

5、theadvantagesofsimpleprincipleandfastcomputation；but嬲alocaloptimizationalgofithmitcannotguaranteethequalityofthesolutionthatvarieswiththechoiceoftheinitiallocationAlthoughGAprovidesawayteachtheglobaloptimalsolutionhoweve

6、ritsuffersfromslowconvergenceasmanyfutilestepsduetothepoorlocalsearchingabilityBesides，insolvingthesourceslocatingproblemcrossoveroperatorofordinaryGAwillmakethechildrenlosesomefinecharacteristicsofthekparentsThustheeffi

7、ciencyofGAismtherpoorasitisquiteuncertainfortwoexcellentindividualstoproduceachildwithallequivalemgoodqualityToavoidsuchdifficulties，thethesisfirstlydesignsaspecializedParthenoGeneticAlgorithm(PGA)thatissuitabletotacklet

8、hesourceslocatingproblemSecondlythethesiscombinesthecomplementaryPGAandALAtoimprovethecomputationefficiencyHybridPGAbasedonALAmethodandapproximatehybridPGAbasedonALAmethodareproposedtodeal塒tlltheSOUrceSlocatingproblemsof

9、smallscaleandlargescalerespectivelyAsthesourceslocatingsubprobleminsubstationplanningisoflarge—scaleengineeringattribute，theproposedapproximatedPGAiseffectiveinsuchcircumstancesInaddition，simulationexamplesshowthatthecom

10、binationaloptimizationsubproblemisnonconvexandnon—concave，thustheBranchandBound(B&B)techniqueisadoptedinthispapertoobtainorapproximatetheglobaloptimalsolutionToimprovetheefficiencyoftheB&Btechnique，someheuristicprinciple

11、sareproposedtocutthosebranchesthatmaygenerateglobaloptimizationsolution誦ⅡllowprobabilityFinallythesoRwarepackagedevelopedbasedonthismethodisappliedtothehi曲voltagesubstationplanningprocessforanactualcityTheresultsverifyth