07481nam 2201705z- 450 991036774320332120231214133158.03-03921-649-X(CKB)4100000010106285(oapen)https://directory.doabooks.org/handle/20.500.12854/53320(EXLCZ)99410000001010628520202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMethods and Concepts for Designing and Validating Smart Grid SystemsMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (408 p.)3-03921-648-1 Energy 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.web of cellsIHEdistribution gridaccuracyuse casesDevelopmentsynchrophasorsunderground cablingsolar photovoltaics (PV)laboratory testbedconceptual structurationQuasi-Dynamic Power-Hardware-in-the-Loopcoupling methodtime synchronizationsmart energy systemssubstation automation system (SAS)testinginvestmenttime delayinterface algorithm (IA)PHIL (power hardware in the loop)network outageoperational range of PHILwind powerelastic demand bidsModel-Based Software EngineeringEnterprise Architecture Managementplug-in electric vehicleSmart Grid Architecture Modellinear/switching amplifierpricing schemeaverage consensustraffic reduction techniquecellgazellesmart grids control strategiesreal-time simulation and hardware-in-the-loop experiments4G Long Term Evolution—LTEpower loss allocationcyber-physical energy systemexperimentationmicrogridresilienceintegration profilesremuneration schemerenewable energy sourcesshiftable loadsdroop controlPower-Hardware-in-the-Looppeer-to-peervalidation techniques for innovative smart grid solutionsfrequency containment control (FCC)synchronous power systempower frequency characteristicdevelopment and implementation methods for smart grid technologiescascading procurementIEC 62559device-to-device communicationDC linkvalidation and testinginformation and communication technologyTOGAFbattery energy storage system (BESS)active distribution networkstabilityValidationsynchronized measurementsArchitecturelocational marginal pricesSGAMnetwork reconfigurationinteroperabilityseamless communicationsfault managementreal-time simulationSystem-of-Systemsmarket design elementsmicro combined heat and power (micro-CHP)co-simulation-based assessment methodsislanded operationconnectathonSoftware-in-the-Loopvoltage controlelectricity distributiondistribution phasor measurement unitscentralised controldata miningrobust optimizationmodelling and simulation of smart grid systemshardware-in-the-Loopsmart gridscyber physical co-simulationdesigndecentralised energy systemprocurement schemeSmart Gridsmart griddistributed controlfuzzy logicPower Hardware-in-the-Loop (PHIL)simulation initializationmulti-agent systemadaptive controlreal-time balancing marketco-simulationoptimal reserve allocationWeb-of-CellsHardware-in-the-Loopmicro-synchrophasorslinear decision rulessynchronizationhardware-in-the-loopPMUhigh-availability seamless redundancy (HSR)market designdemand responseBurt Graemeauth1314888Rohjans SebastianauthStrasser ThomasauthBOOK9910367743203321Methods and Concepts for Designing and Validating Smart Grid Systems3032098UNINA