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页数:63页
时间:2019-07-03
《Thesis - Optimal operation of a hydroelectric power ssytem s》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、DiplomaThesisOptimalOperationofaHydroelectricPowerSystemSubjecttoStochasticIn°owsandLoadMarkusUhruhrm@student.ethz.chOctober4,2006Supervisor:KristianNoldeProf.Dr.M.MorariAutomaticControlLaboratoryETHZurichÄAbstractOptimalschedulingofhydro-thermalpowerplantsiscrucialforeconomicalelectricityprodu
2、ction.Inthisdiplomathesis,astochasticprogrammingapproachisusedto¯ndoptimalschedulingpoliciesintermsofminimalproductioncost.Stochasticityfromwa-terin°owsandenergyloadisincludedinthemodel.TheproblemsareapproximatedbytheSampleAverageApproximation(SAA)methodandsolvedusinganesteddecompo-sitionproced
3、ure.Theprecisionofthesolutionisassessedintermsofcon¯denceboundscomputedwithhelpoftheSAAsamples.AcknowledgmentsIwouldliketothankmysupervisorKristianNoldeandAndreasPoncetfromABBCorporateResearchforthechallengingdiscussionaboutthemodellingproblem.IowemanythankstoJonasNart,whogavemindfulcriticisman
4、dpointedoutmanyinconsistenciesduringthewritingofthisthesis.Ofcourse,anyde¯cienciesarecompletelyduetotheauthor.3Contents1Introduction81.1Overview....................................81.2CategorizationofPowerPlants........................81.3ProductionPlanning..............................91.4Outl
5、ine.....................................102Modeling122.1Hydro-ThermalSystem............................122.1.1SystemDescription...........................132.1.2Multi-StageStructure.........................142.2StochasticModel................................142.2.1Event-DecisionStructure.......
6、................142.2.2MathematicalFormulationofStochasticity.............162.2.3StochasticModelforIn°owsandLoad................163TheSchedulingProblem193.1Objective....................................193.2Constraints...................................203.3StatementoftheOptimizationProblem.....
7、..............213.4Discussion....................................214SampleAverageApproximation244.1Discretization..................................244.1.1ApproximationbyMonte-CarloSampling..............244.1.2ScenarioTree.........
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