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1、上海交通大学工程硕士学位论文摘要可能导致求解速度慢；而遗传算法虽然对于系统中的反馈信息利用无能为力，但是具有快速随机的全局搜索能力，于是将遗传算法与蚁群算法融合，优势互补，最终这种混合的蚁群算法在本文优化实例中取得了良好的效果。关键词：蚁群算法，谐波，配电网，无功优化第II页上海交通大学工程硕士学位论文摘要RESEARCHOFREACTIVEPOWERCOMPENSATIONFORDISTRIBUTIONNETWORKBASEDONIMPROVEDANTCONLONYOPTIMIZATIONALGORITHMANDH
2、ARMONICDISTORTIONABSTRACTReactivepoweroptimizationofpowersystemcanbotheffectivelyreducethenetworkactivepowerlossandimprovevoltageeligibilityrate,therebyreducingnetworkoperatingcoststoimprovethequalityofpowersupply.Withthedevelopmentofpowersystem,reactivepowerop
3、timizationcomestoanewlevel,whoseimportanceismoreandmoreoutstanding.Fromthemathematicalpointofview,thereactivepoweroptimizationofpowersystemisatypicalnonlinearprogrammingproblem,characterizingnonlinearity,discontinuity,uncertaintyandsoon.Atthesametime,reactivepo
4、weroptimizationisinseparablefromthesystemloadflowcalculation,whichisthebasisandtoolforreactivepoweroptimization.Thecomputationspeedandconvergencewilldirectlyinfluencetheoptimizationeffect.ThepapertakestheIEEE-30bussystemandarealdistributionnetworkreactivepowero
5、ptimizationinSuzhouasthestudyobject.Whenestablishingmathematicalmodel,weconsiderednotonlythenodevoltageandreactiveprocessingconstraints,butalsothetotalharmonicdistortionaftercompensation.Inordertoestablishmathematicalmodelofreactivepoweroptimization,theminimumn
6、etworklossesistakenasthetargetfunction,andstatevariablesareboundedbythepenaltyfunctionapproach.Atthesametime,Newton-Raphsonmethodwithgoodspeedandconvergencewasutilizedinthepowerflowcalculation.Finally,soundeffectsweregainedintheprocessofreactivepoweroptimizatio
7、ncontrol.Thepaperadoptedtheimprovedantcolonyalgorithmastheoptimizationalgorithm.Theconvergenceandsearchspeedoforiginalantcolonyalgorithmin第III页上海交通大学工程硕士学位论文摘要solvinglargescaleproblemsisnotverygood.Andtherefore,throughanalysisandcomparisonofseveralimprovedantco
8、lonyalgorithms,weestablishedanimprovedantcolonyalgorithmbymeansofabsorbingstrengthsofthem.Theantcolonyalgorithmconvergestotheoptimalpaththroughthepheromoneaccumulationandren
