LEADER 07481nam 2201705z- 450 001 9910367743203321 005 20231214133158.0 010 $a3-03921-649-X 035 $a(CKB)4100000010106285 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53320 035 $a(EXLCZ)994100000010106285 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMethods and Concepts for Designing and Validating Smart Grid Systems 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (408 p.) 311 $a3-03921-648-1 330 $aEnergy efficiency and low-carbon technologies are key contributors to curtailing the emission of greenhouse gases that continue to cause global warming. The efforts to reduce greenhouse gas emissions also strongly affect electrical power systems. Renewable sources, storage systems, and flexible loads provide new system controls, but power system operators and utilities have to deal with their fluctuating nature, limited storage capabilities, and typically higher infrastructure complexity with a growing number of heterogeneous components. In addition to the technological change of new components, the liberalization of energy markets and new regulatory rules bring contextual change that necessitates the restructuring of the design and operation of future energy systems. Sophisticated component design methods, intelligent information and communication architectures, automation and control concepts, new and advanced markets, as well as proper standards are necessary in order to manage the higher complexity of such intelligent power systems that form smart grids. Due to the considerably higher complexity of such cyber-physical energy systems, constituting the power system, automation, protection, information and communication technology (ICT), and system services, it is expected that the design and validation of smart-grid configurations will play a major role in future technology and system developments. However, an integrated approach for the design and evaluation of smart-grid configurations incorporating these diverse constituent parts remains evasive. The currently available validation approaches focus mainly on component-oriented methods. In order to guarantee a sustainable, affordable, and secure supply of electricity through the transition to a future smart grid with considerably higher complexity and innovation, new design, validation, and testing methods appropriate for cyber-physical systems are required. Therefore, this book summarizes recent research results and developments related to the design and validation of smart grid systems. 610 $aweb of cells 610 $aIHE 610 $adistribution grid 610 $aaccuracy 610 $ause cases 610 $aDevelopment 610 $asynchrophasors 610 $aunderground cabling 610 $asolar photovoltaics (PV) 610 $alaboratory testbed 610 $aconceptual structuration 610 $aQuasi-Dynamic Power-Hardware-in-the-Loop 610 $acoupling method 610 $atime synchronization 610 $asmart energy systems 610 $asubstation automation system (SAS) 610 $atesting 610 $ainvestment 610 $atime delay 610 $ainterface algorithm (IA) 610 $aPHIL (power hardware in the loop) 610 $anetwork outage 610 $aoperational range of PHIL 610 $awind power 610 $aelastic demand bids 610 $aModel-Based Software Engineering 610 $aEnterprise Architecture Management 610 $aplug-in electric vehicle 610 $aSmart Grid Architecture Model 610 $alinear/switching amplifier 610 $apricing scheme 610 $aaverage consensus 610 $atraffic reduction technique 610 $acell 610 $agazelle 610 $asmart grids control strategies 610 $areal-time simulation and hardware-in-the-loop experiments 610 $a4G Long Term Evolution?LTE 610 $apower loss allocation 610 $acyber-physical energy system 610 $aexperimentation 610 $amicrogrid 610 $aresilience 610 $aintegration profiles 610 $aremuneration scheme 610 $arenewable energy sources 610 $ashiftable loads 610 $adroop control 610 $aPower-Hardware-in-the-Loop 610 $apeer-to-peer 610 $avalidation techniques for innovative smart grid solutions 610 $afrequency containment control (FCC) 610 $asynchronous power system 610 $apower frequency characteristic 610 $adevelopment and implementation methods for smart grid technologies 610 $acascading procurement 610 $aIEC 62559 610 $adevice-to-device communication 610 $aDC link 610 $avalidation and testing 610 $ainformation and communication technology 610 $aTOGAF 610 $abattery energy storage system (BESS) 610 $aactive distribution network 610 $astability 610 $aValidation 610 $asynchronized measurements 610 $aArchitecture 610 $alocational marginal prices 610 $aSGAM 610 $anetwork reconfiguration 610 $ainteroperability 610 $aseamless communications 610 $afault management 610 $areal-time simulation 610 $aSystem-of-Systems 610 $amarket design elements 610 $amicro combined heat and power (micro-CHP) 610 $aco-simulation-based assessment methods 610 $aislanded operation 610 $aconnectathon 610 $aSoftware-in-the-Loop 610 $avoltage control 610 $aelectricity distribution 610 $adistribution phasor measurement units 610 $acentralised control 610 $adata mining 610 $arobust optimization 610 $amodelling and simulation of smart grid systems 610 $ahardware-in-the-Loop 610 $asmart grids 610 $acyber physical co-simulation 610 $adesign 610 $adecentralised energy system 610 $aprocurement scheme 610 $aSmart Grid 610 $asmart grid 610 $adistributed control 610 $afuzzy logic 610 $aPower Hardware-in-the-Loop (PHIL) 610 $asimulation initialization 610 $amulti-agent system 610 $aadaptive control 610 $areal-time balancing market 610 $aco-simulation 610 $aoptimal reserve allocation 610 $aWeb-of-Cells 610 $aHardware-in-the-Loop 610 $amicro-synchrophasors 610 $alinear decision rules 610 $asynchronization 610 $ahardware-in-the-loop 610 $aPMU 610 $ahigh-availability seamless redundancy (HSR) 610 $amarket design 610 $ademand response 700 $aBurt$b Graeme$4auth$01314888 702 $aRohjans$b Sebastian$4auth 702 $aStrasser$b Thomas$4auth 906 $aBOOK 912 $a9910367743203321 996 $aMethods and Concepts for Designing and Validating Smart Grid Systems$93032098 997 $aUNINA