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MATPOWER在电力系统最优潮流实时电价中的应用
Title:ApplicationofMATPOWERinReal-timeElectricityPriceforOptimalPowerFlowinPowerSystems
Introduction:
Inrecentyears,withtheincreasingdemandforsustainableandefficientpowergeneration,therehasbeenagrowinginterestinoptimizingpowerflowinelectricpowersystems.Onecrucialaspectofpowersystemoptimizationisreal-timeelectricitypricing,whichenablesefficientutilizationofavailableresourcesandpromotesdemandresponse.Inthispaper,weexploretheapplicationofMATPOWERinreal-timeelectricitypricedeterminationforoptimalpowerflowinpowersystems.
Background:
Powerflowoptimizationisafundamentalproblemintheoperationandplanningofelectricpowersystems.Traditionalmethods,suchastheNewton-Raphsonmethod,havelimitationsinhandlinglarge-scalepowersystemsanduncertainconditions.Toovercomethesechallenges,researchershavedevelopedvariousoptimizationalgorithms,includingtheACoptimalpowerflow(AC-OPF)model,whichincorporatescomplexnonlinearconstraintsandconsidersbothactiveandreactivepowerflow.
MATPOWER,awidelyusedopen-sourcesoftwarepackage,providesacomprehensiveframeworktosolveAC-OPFproblems.ItleveragesthepowersystemsimulationcapabilitiesofthePowerSystemAnalysisToolbox(PSAT)andtheoptimizationcapabilitiesoftheOptimalPowerFlowpackagetosolvevariouspowersystemoptimizationproblemsefficiently.
Real-timeElectricityPricing:
Real-timeelectricitypricingaimstoreflectthedynamicandreal-timenatureofelectricitysupplyanddemand.Byadjustingelectricitypricesbasedonsystemconditions,suchassystemloadandgenerationcapacity,real-timepricingincentivizesconsumerstoadjusttheirelectricityconsumptionpatterns,leadingtoimproveddemandresponseandloadshifting.
ApplicationofMATPOWERinReal-timeElectricityPricing:
MATPOWERprovidesthenecessaryfunctionalitytoimplementreal-timeelectricitypricingmechanismsinpowersystems.Thesoftwarepackageoffersarangeoffeaturesthatcanbeutilizedindeterminingreal-timeelectricitypricesandoptimizingpowerflow:
1.LoadandGenerationForecasting:
MATPOWERcanbeintegratedwithforecastingalgorithmstopredictelectric