TY  - GEN
AU  - Burt,Graeme
AU  - Rohjans,Sebastian
AU  - Strasser,Thomas
TI  - Methods and Concepts for Designing and Validating Smart Grid Systems
SN  - books978-3-03921-649-9
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - web of cells
KW  - IHE
KW  - distribution grid
KW  - accuracy
KW  - use cases
KW  - Development
KW  - synchrophasors
KW  - underground cabling
KW  - solar photovoltaics (PV)
KW  - laboratory testbed
KW  - conceptual structuration
KW  - Quasi-Dynamic Power-Hardware-in-the-Loop
KW  - coupling method
KW  - time synchronization
KW  - smart energy systems
KW  - substation automation system (SAS)
KW  - testing
KW  - investment
KW  - time delay
KW  - interface algorithm (IA)
KW  - PHIL (power hardware in the loop)
KW  - network outage
KW  - operational range of PHIL
KW  - wind power
KW  - elastic demand bids
KW  - Model-Based Software Engineering
KW  - Enterprise Architecture Management
KW  - plug-in electric vehicle
KW  - Smart Grid Architecture Model
KW  - linear/switching amplifier
KW  - pricing scheme
KW  - average consensus
KW  - traffic reduction technique
KW  - cell
KW  - gazelle
KW  - smart grids control strategies
KW  - real-time simulation and hardware-in-the-loop experiments
KW  - 4G Long Term Evolution—LTE
KW  - power loss allocation
KW  - cyber-physical energy system
KW  - experimentation
KW  - microgrid
KW  - resilience
KW  - integration profiles
KW  - remuneration scheme
KW  - renewable energy sources
KW  - shiftable loads
KW  - droop control
KW  - Power-Hardware-in-the-Loop
KW  - peer-to-peer
KW  - validation techniques for innovative smart grid solutions
KW  - frequency containment control (FCC)
KW  - synchronous power system
KW  - power frequency characteristic
KW  - development and implementation methods for smart grid technologies
KW  - cascading procurement
KW  - IEC 62559
KW  - device-to-device communication
KW  - DC link
KW  - validation and testing
KW  - information and communication technology
KW  - TOGAF
KW  - battery energy storage system (BESS)
KW  - active distribution network
KW  - stability
KW  - Validation
KW  - synchronized measurements
KW  - Architecture
KW  - locational marginal prices
KW  - SGAM
KW  - network reconfiguration
KW  - interoperability
KW  - seamless communications
KW  - fault management
KW  - real-time simulation
KW  - System-of-Systems
KW  - market design elements
KW  - micro combined heat and power (micro-CHP)
KW  - co-simulation-based assessment methods
KW  - islanded operation
KW  - connectathon
KW  - Software-in-the-Loop
KW  - voltage control
KW  - electricity distribution
KW  - distribution phasor measurement units
KW  - centralised control
KW  - data mining
KW  - robust optimization
KW  - modelling and simulation of smart grid systems
KW  - hardware-in-the-Loop
KW  - smart grids
KW  - cyber physical co-simulation
KW  - design
KW  - decentralised energy system
KW  - procurement scheme
KW  - Smart Grid
KW  - smart grid
KW  - distributed control
KW  - fuzzy logic
KW  - Power Hardware-in-the-Loop (PHIL)
KW  - simulation initialization
KW  - multi-agent system
KW  - adaptive control
KW  - real-time balancing market
KW  - co-simulation
KW  - optimal reserve allocation
KW  - Web-of-Cells
KW  - Hardware-in-the-Loop
KW  - micro-synchrophasors
KW  - linear decision rules
KW  - synchronization
KW  - hardware-in-the-loop
KW  - PMU
KW  - high-availability seamless redundancy (HSR)
KW  - market design
KW  - demand response
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/1823
UR  - https://directory.doabooks.org/handle/20.500.12854/53320
ER  -