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TheHOMEBOTSSystemandFieldTest:AMulti-CommodityMarketforPredictivePowerLoadManagementFredrikYgge†HansAkkermans§ArneAndersson‡MarkoKrejic¶ErikBoertjes§†EnerSearchABChalmersTeknikparkS-41288Gothenburg,Swedenfredrik.ygge@enersearch.se˜ygge§FreeUniversityAmsterdamVUADepartmentofInformationManagement&SoftwareEngineering(IMSE)DeBoelelaan1081a,NL-1081HVAmsterdam,TheNetherlands{boertjes,hansa}@cs.vu.nlorHansAkkermans@compuserve.com˜boertjes‡UppsalaUniversityComputingScienceDepartmentBox325S-75105Uppsala,Swedenarnea@csd.uu.se˜arnea†UniversityofKarlskrona/RonnebyHK-RDepartmentofComputerScience(IDE)S-37225Ronneby,SwedenMarko.Krejic@ide.hk-r.sePapersubmissiontoPAAM’99.Topics:Businessagentsforenergyservices;Negotiation;Priceformation;Toolsandtechniquesforprocesscontrol.Correspondingauthor:ErikBoertjes,FreeUniversityAmsterdam,ComputerScience/IMSEDepartment,DeBoelelaan1081a,NL-1081HVAmsterdam,TheNetherlands.E-mail:boertjes@cs.vu.nl/hansa@cs.vu.nl;Fax:+31204447653;Tel:+31204447740/7700.Abstract.WepresentasystemcalledHOMEBOTSforagent-basedenergymanagementser-vices,realizedbynetworked‘smart’industrialandhouseholdequipmentcommunicatingoverthepowerlineandothermedia.Asaconsequenceofthederegulationoftheelectricitymarketsinmanycountries,energyutilitieshavestartedtopayhighinterestinofferingvalue-addedenergycustomerservicesratherthanmerelysellingelectricity(kWh).Wediscussanumberofimportanttechnicalandbusinessissuesinlaunchingsuchservices,anddescribesomeadvancedsolutions.First,wepresentanewcomputationalmarkettheory,implementedintheHOMEBOTSsystem.Itshowshowlargenumbersofelectricalloadscanbeautomaticallymanagedbyautonomousagents,thatcommunicateandnegotiateinanelectronicmulti-commoditymarketleadingtoopti-maluseofelectricalpower.Theadvantagesofthisagent-basedapproachcomparedtotraditionalmethodsforpowerloadmanagementaredescribed.Second,wedemonstratethroughsimulatedbusinessscenariosthatsignificantenergycostsavingscanthusbeachieved.Third,ourapproachhasbeentestedinafieldexperimentinanenergydistributionareaintheSouth-EastofSweden.Theperformedfieldtestsshowthatthereal-timerequirementsforagentcommunicationoverthepowerlineinenergyservicesarewellmetinrealisticapplicationsettings.1Agent-BasedEnergyManagementTheelectricitymarketinmanycountrieshasrecentlybeenderegulatedoriscurrentlyunderderegulation.Atthesametimewewitnessarapidtechnologicaldevelopment,particularlyintheareaofaccessbetweenglobalnetworks(suchastheInternet)andin-dividualhouseholds(e.g.throughcableTVoreventheelectricalpowergrid),andintheareaofincorporationofmicrocomputersinhomeappliances.Thus,animportantquestionforpowerutilitiesishowthisnewabilitytocommunicatewithlargenumbersofelectricalequipment(loads)canincreasethecompetitivenessoftheutility.Value-addedservices.Aninterestingobservationinthisnewsettingisthatutilitiescanoffernewvalue-addedservices,suchasprovidingacomfortableindoortemperatureinapublicbuildingorprovidingwaystosavecostsbyenergymanagement.Intheformercase,theutilitycouldhavesomecontractwiththecustomerwhichdefinestheeconomictermsfordifferentlevelsofcomfort(temperature).Inthelattercase,onecouldhavecontractsbetweenutilitiesandcustomerswiththeaimtoreducetheconsumptionatthecustomersideatcertain(peak)hours.Namely,energydemandvariesdependingonthenatureofthecustomerpremises,anditshowsbigandcostlyfluctuationsovertime.Onepossibilitytoincreasetheefficiencyoftheenergysystemisthereforetotryandmanagecustomerequipmenttoreducethetemporalfluctuationsindemand.Thefundamentalproblemfortheutilityforthesetwoexamplesisthesame:Whenshouldtherespectiveloadsbeatwhatconsumptionlevel(whileconsideringthecomfortconstraintsofthepub-licbuildingandthetimeconstraintsgivenbythecontracts)suchthatcostsareminimized?Conventionalpowerloadmanagement.Thisiscalledpowerloadmanagement[1,2,3].Thegoalofloadmanagementistomovedemandfromexpensivehourstocheaperhours.Thisreducescosts,curtailsenergysystemover-orunder-capacity,andenhancestheutilizationdegreeofinvestmentsinexistingenergynetworkassets.Energyloadmanagementisalreadyanoldideausedonalimitedscalewithlargecustomers.Whenbigpeaksoccur,utilitiesmaybeallowedtoshutdowncertaincustomerprocessesinreturnforacertainfinancialcompensationtothecustomer(directloadmanagement).Or,suchactionsmaybeundertakenbycustomersthemselves(indirectloadmanagement),oftentriggeredbycontractualpenaltiesiftheenergyconsumptionexceedsspecifiedceil-ings.However,thecurrentapproachestoloadmanagementarerestrictedinscaleandscope,astheyessentiallydependonone-wayhumandecisionmakingandcontrolregard-ingasmallnumberofenergy-consumingdevicesandprocesses.DuetotheexpandingcapabilitiesofInformationandCommunicationTechnology,thecurrentchallengeistoautomaticallymanageextremelylargenumbersofloadssimulta-neously.Inparticular,itshouldbecomepossibletohandleallelectricalloadsbeyondthesecondarysubstationsonthe230Vlowvoltagegrid.InEurope,atypical‘cell’beyondsuchsubstationscoversabout250households,involvingontheorderofthousandsofrelevantloads.Similarnumbersholdforofficeandpl
本文标题:The HomeBOTS System and Field test A Multi-Commodi
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