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基于风电-蓄热式电锅炉联合供暖的风电消纳多目标双层优化调度 Title:Multi-objectiveBi-levelOptimizationSchedulingforWindPowerAbsorptionandHeatStorage-BasedElectricBoilerCombinedHeatingSystem Abstract: Therapiddevelopmentofwindpowergenerationhasledtochallengesinbalancingpowersupplyanddemandduetoitsintermittentandunpredictablenature.Incorporatingwindpowerintotheheatingsectorhasemergedasapotentialsolutiontoaddressexcesspowergeneration.Amongthevariousmethods,theintegrationofwindpowerwithheatstorage-basedelectricboilersforcombinedheatinghasshowngreatpromise.Thispaperpresentsamulti-objectivebi-leveloptimizationschedulingstrategyforeffectivelyabsorbingwindpowerandutilizingitforheatingpurposes. 1.Introduction: 1.1Background: Withthegrowingconcernforcleanandsustainableenergy,windpowerhasgainedsignificantattentionasarenewableenergysource.However,theintermittentandunpredictablenatureofwindpowerposeschallengesforitslarge-scaleintegrationintotheexistingpowergrid.Consequently,findingeffectivemethodstoabsorbandutilizeexcesswindpowerhasbecomeacriticalresearchtopic. 1.2Objectives: Thispaperaimstoproposeamulti-objectivebi-leveloptimizationschedulingapproachtomaximizewindpowerabsorptionwhilemeetingheatingdemandinawindpower-integratedheatingsystem.Theobjectivesincludeminimizingwindpowercurtailmentandoperationcostswhileensuringoptimalheatstoragecapacityutilization. 2.LiteratureReview: Thissectionprovidesanoverviewofexistingresearchrelatedtowindpowerintegrationandheatingsystems.Theliteraturereviewincludestopicssuchaswindpowerforecasting,heatstorage-basedelectricboilers,bi-leveloptimization,andmulti-objectiveoptimizationtechniques. 3.SystemDescription: Thissectiondescribesthewindpowerabsorptionandheatstorage-basedelectricboilercombinedheatingsystem.Itincludesanoverviewofwindpowergenerationandconversion,energystorageinheatstoragetanks,andtheoperationofelectricboilersforheatingpurposes.Thesystemcomponentsandtheirinterconnectionsareexplainedindetail. 4.Multi-objectiveBi-levelOptimizationModel: 4.1Upper-LevelOptimization: T