含风电场电力系统概率潮流模型研究及其在无功优化中的应用

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1、AbstractWiththeincrementofcapacity,windfarmshavemoreandmoreresponsetothepoWtat"grid·Fherandomenergyoutputofwindpowergeneratorsandtheirdifferentproperties，whichcomparedwithtraditionalgenerators，makeagreatinfluenceonthedis砸butionofac脏veandreaetiVepowerflowandpowersystemvolmgestability．Thispaperisma

2、inlyabouttherandomenergyoutputofwindfarmsanddiscussestheinfluenceofwindfarmsonpowersystembasedonprobabilisticloadflowmodels．ThisPaperappliesanewmethod--thestochasticresponsesurfacemethod(SRSM)toanalyzetheimpactofwindfarmsonuncertaintiesofpowersystem．Polynomialexpressionsbetweenresponsesofsysteman

3、dparameterscanbeestablishedbythismethod．Comparedwiththetraditionalapproaches，thepresentedmethodcallobtainstatisticalinf0肋撕onwimlesssimulationtime．Aprobabilisticloadflowmodelandassessmentofvoltagestabilitymoddbasedonthismethodisestablished．AsimulationconductedforIEEE．14bussystemintegratedwithwindf

4、arms，demonstratesthevalidityofthesuggestedmethod．Onthebasis，themethodWasintroducedtosolvetheproblemofmulti—objeeavereactivepoweroptimizationofwindfarmbasedonaprobabilisticsystemmodel．Thispaper,combiningprobabilisticsystemmodelwithPareto．basedMulti．ObjectiveParticleSwarmOptimization(MOPSO)algorith

5、m，establishesamathematicmodelofreactivepoweroptimization，whichregardingtheminimizationofbusvoltagebeyondlimitsprobabilityandexpectationvalueofactivepowerlossesandthemaximizationofexpectationvalueofloadmarginasobjectivefunction．AsimulationconductedforIEEE．．14bussystemintegratedwithwindfarmsreveals

6、thattheproposedmethodismorereasonablethantraditionaldetenninemethods．Theproposedmethodcanoverallconsidereffectsofwindspeedrandomness．sothatamorereasonablereactivepowerdispatchschemecouldbefound．Keywords：WindFarms；SRSM；Uncertainties；LoadMargin；MOPSO；ReactivePoWerOptimization西南交通大学硕士研究生学位论文第1lI页目录第

7、1章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．．．．：⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．1课题研究背景及意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．．⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．11．2国内外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．21．2．1风电并网研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯～21．2．2随机响应面法在电力系统中的应用现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯51．3本文主要研究内容⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯