搜寻者优化算法在电力系统最优潮流中的应用

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1、西南交通大学硕士学位论文搜寻者优化算法在电力系统最优潮流中的应用姓名：张倩申请学位级别：硕士专业：电力系统及其自动化指导教师：陈维荣20080601西南交通大学硕士研究生学位论文第fI页AbstractWiththerapiddevelopmentofelectricpowersystem，thegridsbecomelargerandlarger．Howtoguaranteethepowersystemrunmngeconomically,safelyandstablybecomeafocusintheworld．Inordertorealizetheoptim

2、aldistributionofthepowerflOW,differentcontrollingvariablesarechosentodotheadjustment．Theincreaseofvariablosandnon-linearconstraintsalongwiththecomplicatedrelationshipbetweenthemmakestheoptimalpowerflow(OPF)problemacomplicated，largerunmathematicalprogrammingone．Theswarmintelligenceopti

3、mizationalgorithmhastheobviousadvantagesinsearchingthebestsolutionforthelargerun,non—linearproblem，offeringnewwaystosolvetheOPFproblem．+ThetraditionalOPFalwaystakestheeconomicalrunoftheelectricpowersystemasthedestination，andgetstheOPFresultsthroughaajustingthegeneratorvoltages，transfo

4、rmertapsandcapacitortanks．However,thevoltagestabilityisoftenneglected．Infact，intheconditionoftheelectricpowermarketatpresent，consideringtheinfluenceofenvironmentalandeconomicalelements，thepowersystemisapttoruncloselytothemarginstatus，resultingintheinsufficientvoltagestableredundancy．T

5、hereforethevoltagecollapsewillhappensoreetime．PowerlossesandvoltagestabilityarebothtakenintoaccountwhencreatingtheOPFmodelinthethesis．Duetothedifferentdimensionandvaluationcriteria，thenormalizationwascarriedoutSOastoconvertthemulti．objectiveoptimizationproblemintoasingleone．．Inthethes

6、is，thereviewoftheOPFresearchwascarriedout，includingsummarizingthedifferentobjectivefunctionsandmathematicalmodelsofOPFandcomprisingthedifferentalgorithmsusedintheOPFsoluti．on．Furthermore，seekeroptimizationalgorithm(SOA)isanovelmethodintheswarmintelligencecomputationandappearsitsgoodpe

7、rformanceinsomefields，whichwasintroducedinthethesis．Thebackground，mathematicalmodelandtheoDtiniizationprocessofSOAworedescribed．AndthecomparisonswithPSO—W(Particleswarmoptimizerwithinertiaweight)，PSo．CF(particleswarmoptimizerwi．thconstrictionfactor)，andCLPSO(Comprehensivelearningparti

8、cle西南