简介:DigitalnetworkedcommunicationsarethekeytoallInternet-of-Thingsapplications,especiallytosmartmeteringsystemsandthesmartgrid.Inordertoensureasafeoperationofsystemsandtheprivacyofusers,thetransportlayersecurity(TLS)protocol,amatureandwellstandardizedsolutionforsecurecommunications,maybeused.WeimplementedtheTLSprotocolinitslatestversioninawaysuitableforembeddedandresource-constrainedsystems.ThispaperoutlinesthechallengesandopportunitiesofdeployingTLSinsmartmeteringandsmartgridapplicationsandpresentsperformanceresultsofourTLSimplementation.Ouranalysisshowsthatgivenanappropriateimplementationandconfiguration,deployingTLSinconstrainedsmartmeteringsystemsispossiblewithacceptableoverhead.
简介:Thepapergivesanoverviewontheneedforsmartcouplingforbatterymanagementingridintegratedrenewableenergysystem(RES).Gridintegratedphotovoltaic(PV)batterysystem,asbeingpopularandextensivelyusedhasbeendiscussedinthepaper.SmartcouplingreferstointelligentgridintegrationsuchthatitcanforeseelocalnetworkconditionsandissuebatterypowerflowmanagementstrategyaccordinglytoshavethepeakPVandpeakload.Therefore,aneedforpredictiveenergymanagementarisesforsmartintegrationtothegridandsupervisionofthepowerflowinaccordancetothegridconditions.ThisisalsoarunningprojectattheInstituteofEnergySystems(INES),OffenburgUniversityofAppliedScience,GermanysinceJanuary,2015.Thepapershouldprovideinsightstothemotivation,needandgivesanoutlooktothefeaturesofdesiredpredictiveenergymanagementsystem(PEMS).
简介:A3D非静水力学的模型葡萄(全球/地区性的吸收和预言系统)的动态核心在Yin-Yang格子上被开发处理极的问题并且提高计算效率。强迫的三维的Coriolis被介绍给新核心,并且强迫的Coriolis的完整的表示使分享在殷和杨子域之间的代码直接。类似于在葡萄建模的原版,一个半含蓄的semi-Lagrangian计划与跨边界的运输的另外的安排为时间的集成和移流被采用。在时间的非集中的秒顺序和空间discretization下面,干燥nonhydrostatic框架作为一个椭圆的问题的答案被总结。产生Helmholtz方程被解决与概括与经典Schwarz方法在合作结合剩余解答者。尽管方程的系数与在原来的模型的那些相当不同,新核心的计算过程只是一样。双性人立方的Lagrangian插值服务向Dirichlet类型边界条件提供在子域之间的数据转移。干燥核心与几个基准测试用例被评估,并且所有测试显示合理数字稳定性和计算性能。平衡流动的坚持和导致山脉的Rossby波浪和Rossby-Haurwitz波浪的开发在半含蓄的semi-Lagrangian证实3DCoriolis条款的适当安装Yin-Yang格子上的动态核心。
简介:Thispaperdiscussesadistributeddecisionprocedurefordeterminingtheelectricitypriceforareal-timeelectricitymarketinanenergymanagementsystem.ThepricedecisionalgorithmproposedinthispaperderivestheoptimalelectricitypricewhileconsideringtheconstraintsofalinearizedACpowergridmodel.Thealgorithmisbasedonthepowerdemand-supplybalanceandvoltagephasedifferencesinapowergrid.Inordertodeterminetheoptimalpricethatmaximizesthesocialwelfaredistributivelyandtoimprovetheconvergencespeedofthealgorithm,theproposedalgorithmupdatesthepricethroughthealternatingdecisionmakingofmarketparticipants.Inthispaper,weshowtheconvergenceofthepricederivedfromourproposedalgorithm.Furthermore,numericalsimulationresultsshowthattheproposeddynamicpricingmethodologyiseffectiveandthatthereisanimprovementintheconvergencespeed,ascomparedwiththeconventionalmethod.