基于机会约束规划的梯级水电站短期优化调度

基于机会约束规划的梯级水电站短期优化调度

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时间:2019-01-30

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1、profitandriskarecoordinatedpreferablyaccordingtothepracticalsystem,andtheoptimizationofpoweroutputforcascadehydroplantsisestablishedbythemethoddeveloped.Anovelmodelofriskmanagementforshort-termschedulingoptimizationofhydrothermalpowersystembasedonchance—constrainedprogrammingispresente

2、dinthispaper.Coordinatedrelationshipbetweenday·aheadtradingandreal·timetrading,operationalconstraintsofhydrothermalpowersystem,anduncertaintyinhydrothermalpowersystemareconsideredinanintegratedfashion.Thisproposalmodelincreasesgenerationbenefitsofhydroelectricpowerplants,reducesoperati

3、oncostsofthermalpowerplants,advancescomprehensivebenefitsofpowersystems,andprovidesanovelresearchthoughtforhydrothermalpowersystemsshort-termoptimalschedulingproblem.ToovercometheshortcomingofeasilylocaloptimumofPSO,ahybridparticleswarnloptimization(HPSO),inwhichthecatastrophetheoryand

4、chaosoptimizationwasembeddedintoPSO,isalsopresentedinthispaper.SincetheideasofPSOandcatastrophetheoryareinspiredbynaturalconcepts,itprovidesallideathatthestagnationofevolutionarystrategiesofPSOmaybedescribedbycatastrophetheory.ThelogisticmapofchaosisusedtOdisjointheparticles,whicharecl

5、osetoeachotheraroundalocalminimumaccordingtotheergodicity,stochasticpropertyandregularityofchaos.Thedefinitionofglobalconvergenceofstochasticalgorithmisdefinedinthepaper,andthealgorithmpresentedisprovedtOconvergetotheglobaloptimizationsolutionwithprobabilityoneusingLebesguemeasure.Thei

6、mprovementofcommunitydiversityandsearchingspaceofPSOisachieved,andtheproposalstrategyisasimpleeffectiveapproachtosolvenonlinearprogrammingproblemwithcomplexconstraintconditions.ThemodelpresentedissolvedusingacombinationofHPSOandMonteCarlosimulationbecauseoftheadvantagesofHPSOsuchassimp

7、leconcept,easyimplementationandrobustness.TheresultshaveshowedthatthecombinationVofHPSOandMonteCarlosimulationforshort—termschedulingoptimizationcascadehydroplantsisversatileandefficient.Keywords:Cascadehydroplants;Hydrothermalpowersystem;Short-termoptimizationscheduling;Uncertainty;

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