考虑随机性的微电网优化运行-研究

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1、西南交通大学硕士研究生学位论文第ll页AbstractEnergycrisisisahottopicsincethenewcentury．Thedevelopmentofnewenergy，newenergytechnologyresearchanditseffectiveutilizationbecomeanurgentproblem．Renewableenergyismoreeconomic，moreenvironmental，andmorereliablethanfossilenergyasanalternativetofossil

2、energy．Inthemicrogrid，inordertogiveitsfullplayandmakegooduseofrenewableenergyunits，thereasonablearrangementforpoweroutputofrenewableenergyunitsbecomesessentialtooptimaloperationofmicrogrid．Thepoweroutputofrenewableenergyunitsisinfluencedbytherandomnesssuchasnature．Thispap

3、erstudiedtheoptimaloperationofmicrogridconsideringtherandomnessinmicrogrid．Firstly，thepoweroutputmodelof谢ndturbineandphotovoltaicisestablishedbasedontheprobabilitymodelofwindspeedandlightintensity．Thepoweroutputmodelandthepollutantemissionsmodelofdieselengineandmicroturbi

4、nearefoundedfortheyarethemainsourcesofpollutantemissionsinmicrogrid．Also，thesteady—stateoutputmodelofbatteryandfuelcellareestablished．Undertheformermodels，theeconomicandenvironmentaloptimaloperationmodelisbuiltup．Secondly，theoptimaloperationmodelofthemicro—gridisamulti-va

5、riable，multi-constraint，multi—objective，non—linearstochasticoptimizationmodel．Thesolutionofthemodelinvolvestwoissues：dealingwiththerandomvariablesandsolvingthemodel．Tothepreviousquestion，pointestimatemethodWasusedaccordingtoanalyzingtheadvantagesanddisadvantagesofcurrentm

6、athematicalmethods．Onthelatterissue，intermsofconvergenceandtheabilitytoexpandnewsolutionoftheintelligentalgorithms，theartificialimmunealgorithmisselected．Bymeansofaddingchaosmutation，theabilitytoexpandnewsolutionoftheartificialimmunealgorithmisenhanced．Multi—objectiveopti

7、mizationresultisasetofParetooptimalsolution，theParetosolutionswererankedaccordingtothemultipleattributedecisionmaking，whichprovidesausefulreferenceforpolicymakers．Finally，atypicalmicrogddisselectedandtheoptimizationresultisverifiedandanalyzed．Fourcasesweremodeledincluding

8、minimizingtheoperatingcost，minimizingthepollutants，deterministicmodelandprobabilisticmodel．There