微电网经济运行的优化算法-研究

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1、塑婆盔芏亟±芏笪迨塞△坠!￡垒璺!AbstractMicrogfidisanewpowernetworkwhichcontainsdistributedgenerations，energystoragedevices，loadsandcontrolunits．Microgridisoneofnumerousmeanstosolvetheproblemsoftraditionalpowersystem，whichbringshugeeconomicbenefits．Therefore，economicaloperat

2、ionofmicrogridisthekeytOattractusersandmakesitgeneralizedinthepowersystem．However，withtheincreasementofthenumberofdevicesinmicrogrid，theoptimizationofeconomicaloperationofmicrogridisbecomingmorecomplex．Existingoptimizationofschedulingalgorithmncannotmeetthenew

3、trendsofmicrogrid．Inthispaper,aimingatoptimizingtheeconomicoperationofmicrogrid，newoptimizationalgorithmsareproprosedtoimprovetheoperatingefficiencyofthealgorithmbasedonlagrangianrelaxation，whichreducesthecostofmicro-gridoperation．Themaincontentsareasfollows：1

4、)Theloadschedulingofdemand—sidemanagementisimprovedinmicrogrid．Existingalgorithmcannothandlelarge-scaleloadschedulingproblem．ThereforethroughimprovingboundedquadraticprogrammingandBendersalgorithmbasedontheframeworkoflagrangianrelaxation，anewdistributedalgorit

5、hmisproposedtosolvetheproblemofdemandsidemanagementinmicrogridwhichissuitableforlarge-scalecomputing．Throughsimulation，ouralgorithmsisbetterthantheexistingcentralalgorithmcomparedwithcomputationtime．21Theproblemofjointschedulingofloadsandthermalunitsissolvedin

6、microgrid．Inthissection，microgridisinisolatedmodewhichonlycontainsthermalunitsandloads．Thepurposeofthissectionisthatwhenthepowergridfails，themicrogridCancontinuetoruninalow·costmod．Thejointschedulingisdecoupledbylagrangianrelaxation．Thesubproblemofschedulingof

7、singlethermalunitissolvedbydynamicprogramming．Throughsimulation，theproposedmethodcaneffectivelyreducethecostoftheoperationofmicrogridandshiftpeakload．．3)Consideringwindpowerinthegdd，economicaloperationofmicrogridIII逝江盘生亟±茎鱼迨塞△b§!!堑!underthegrid-connectedmodeis

8、studied．Weusechanceconstrainedprogrammingtodescribetherandomnessofwindpowerwhichsolvestheinfeasibleprobabilityofexpectedvaluemodel．Inaddition，distributedimplementationframeworkanda