Methods and Concepts for Designing and Validating Smart Grid Systems

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 load...

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Main Authors: Burt, Graeme, Rohjans, Sebastian, Strasser, Thomas
Format: Online
Jezik:angleščina
Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2021
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author Burt, Graeme
Rohjans, Sebastian
Strasser, Thomas
author_browse Burt, Graeme
Rohjans, Sebastian
Strasser, Thomas
author_facet Burt, Graeme
Rohjans, Sebastian
Strasser, Thomas
author_sort Burt, Graeme
collection Directory of Open Access Books
description 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.
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spelling doab-20.500.12854ir-533202024-04-11T15:10:31Z Methods and Concepts for Designing and Validating Smart Grid Systems Burt, Graeme Rohjans, Sebastian Strasser, Thomas TA1-2040 T1-995 web of cells IHE distribution grid accuracy use cases Development synchrophasors underground cabling solar photovoltaics (PV) laboratory testbed conceptual structuration Quasi-Dynamic Power-Hardware-in-the-Loop coupling method time synchronization smart energy systems substation automation system (SAS) testing investment time delay interface algorithm (IA) PHIL (power hardware in the loop) network outage operational range of PHIL wind power elastic demand bids Model-Based Software Engineering Enterprise Architecture Management plug-in electric vehicle Smart Grid Architecture Model linear/switching amplifier pricing scheme average consensus traffic reduction technique cell gazelle smart grids control strategies real-time simulation and hardware-in-the-loop experiments 4G Long Term Evolution—LTE power loss allocation cyber-physical energy system experimentation microgrid resilience integration profiles remuneration scheme renewable energy sources shiftable loads droop control Power-Hardware-in-the-Loop peer-to-peer validation techniques for innovative smart grid solutions frequency containment control (FCC) synchronous power system power frequency characteristic development and implementation methods for smart grid technologies cascading procurement IEC 62559 device-to-device communication DC link validation and testing information and communication technology TOGAF battery energy storage system (BESS) active distribution network stability Validation synchronized measurements Architecture locational marginal prices SGAM network reconfiguration interoperability seamless communications fault management real-time simulation System-of-Systems market design elements micro combined heat and power (micro-CHP) co-simulation-based assessment methods islanded operation connectathon Software-in-the-Loop voltage control electricity distribution distribution phasor measurement units centralised control data mining robust optimization modelling and simulation of smart grid systems hardware-in-the-Loop smart grids cyber physical co-simulation design decentralised energy system procurement scheme Smart Grid smart grid distributed control fuzzy logic Power Hardware-in-the-Loop (PHIL) simulation initialization multi-agent system adaptive control real-time balancing market co-simulation optimal reserve allocation Web-of-Cells Hardware-in-the-Loop micro-synchrophasors linear decision rules synchronization hardware-in-the-loop PMU high-availability seamless redundancy (HSR) market design demand response thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-02-11T19:26:47Z 2021-02-11T19:26:47Z 2019-12-09 16:10:12 2019 book 42714 9783039216482 9783039216499 https://directory.doabooks.org/handle/20.500.12854/53320 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1823 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-649-9 10.3390/books978-3-03921-649-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039216482 9783039216499 408 open access
spellingShingle TA1-2040
T1-995
web of cells
IHE
distribution grid
accuracy
use cases
Development
synchrophasors
underground cabling
solar photovoltaics (PV)
laboratory testbed
conceptual structuration
Quasi-Dynamic Power-Hardware-in-the-Loop
coupling method
time synchronization
smart energy systems
substation automation system (SAS)
testing
investment
time delay
interface algorithm (IA)
PHIL (power hardware in the loop)
network outage
operational range of PHIL
wind power
elastic demand bids
Model-Based Software Engineering
Enterprise Architecture Management
plug-in electric vehicle
Smart Grid Architecture Model
linear/switching amplifier
pricing scheme
average consensus
traffic reduction technique
cell
gazelle
smart grids control strategies
real-time simulation and hardware-in-the-loop experiments
4G Long Term Evolution—LTE
power loss allocation
cyber-physical energy system
experimentation
microgrid
resilience
integration profiles
remuneration scheme
renewable energy sources
shiftable loads
droop control
Power-Hardware-in-the-Loop
peer-to-peer
validation techniques for innovative smart grid solutions
frequency containment control (FCC)
synchronous power system
power frequency characteristic
development and implementation methods for smart grid technologies
cascading procurement
IEC 62559
device-to-device communication
DC link
validation and testing
information and communication technology
TOGAF
battery energy storage system (BESS)
active distribution network
stability
Validation
synchronized measurements
Architecture
locational marginal prices
SGAM
network reconfiguration
interoperability
seamless communications
fault management
real-time simulation
System-of-Systems
market design elements
micro combined heat and power (micro-CHP)
co-simulation-based assessment methods
islanded operation
connectathon
Software-in-the-Loop
voltage control
electricity distribution
distribution phasor measurement units
centralised control
data mining
robust optimization
modelling and simulation of smart grid systems
hardware-in-the-Loop
smart grids
cyber physical co-simulation
design
decentralised energy system
procurement scheme
Smart Grid
smart grid
distributed control
fuzzy logic
Power Hardware-in-the-Loop (PHIL)
simulation initialization
multi-agent system
adaptive control
real-time balancing market
co-simulation
optimal reserve allocation
Web-of-Cells
Hardware-in-the-Loop
micro-synchrophasors
linear decision rules
synchronization
hardware-in-the-loop
PMU
high-availability seamless redundancy (HSR)
market design
demand response
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Burt, Graeme
Rohjans, Sebastian
Strasser, Thomas
Methods and Concepts for Designing and Validating Smart Grid Systems
title Methods and Concepts for Designing and Validating Smart Grid Systems
title_full Methods and Concepts for Designing and Validating Smart Grid Systems
title_fullStr Methods and Concepts for Designing and Validating Smart Grid Systems
title_full_unstemmed Methods and Concepts for Designing and Validating Smart Grid Systems
title_short Methods and Concepts for Designing and Validating Smart Grid Systems
title_sort methods and concepts for designing and validating smart grid systems
topic TA1-2040
T1-995
web of cells
IHE
distribution grid
accuracy
use cases
Development
synchrophasors
underground cabling
solar photovoltaics (PV)
laboratory testbed
conceptual structuration
Quasi-Dynamic Power-Hardware-in-the-Loop
coupling method
time synchronization
smart energy systems
substation automation system (SAS)
testing
investment
time delay
interface algorithm (IA)
PHIL (power hardware in the loop)
network outage
operational range of PHIL
wind power
elastic demand bids
Model-Based Software Engineering
Enterprise Architecture Management
plug-in electric vehicle
Smart Grid Architecture Model
linear/switching amplifier
pricing scheme
average consensus
traffic reduction technique
cell
gazelle
smart grids control strategies
real-time simulation and hardware-in-the-loop experiments
4G Long Term Evolution—LTE
power loss allocation
cyber-physical energy system
experimentation
microgrid
resilience
integration profiles
remuneration scheme
renewable energy sources
shiftable loads
droop control
Power-Hardware-in-the-Loop
peer-to-peer
validation techniques for innovative smart grid solutions
frequency containment control (FCC)
synchronous power system
power frequency characteristic
development and implementation methods for smart grid technologies
cascading procurement
IEC 62559
device-to-device communication
DC link
validation and testing
information and communication technology
TOGAF
battery energy storage system (BESS)
active distribution network
stability
Validation
synchronized measurements
Architecture
locational marginal prices
SGAM
network reconfiguration
interoperability
seamless communications
fault management
real-time simulation
System-of-Systems
market design elements
micro combined heat and power (micro-CHP)
co-simulation-based assessment methods
islanded operation
connectathon
Software-in-the-Loop
voltage control
electricity distribution
distribution phasor measurement units
centralised control
data mining
robust optimization
modelling and simulation of smart grid systems
hardware-in-the-Loop
smart grids
cyber physical co-simulation
design
decentralised energy system
procurement scheme
Smart Grid
smart grid
distributed control
fuzzy logic
Power Hardware-in-the-Loop (PHIL)
simulation initialization
multi-agent system
adaptive control
real-time balancing market
co-simulation
optimal reserve allocation
Web-of-Cells
Hardware-in-the-Loop
micro-synchrophasors
linear decision rules
synchronization
hardware-in-the-loop
PMU
high-availability seamless redundancy (HSR)
market design
demand response
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet TA1-2040
T1-995
web of cells
IHE
distribution grid
accuracy
use cases
Development
synchrophasors
underground cabling
solar photovoltaics (PV)
laboratory testbed
conceptual structuration
Quasi-Dynamic Power-Hardware-in-the-Loop
coupling method
time synchronization
smart energy systems
substation automation system (SAS)
testing
investment
time delay
interface algorithm (IA)
PHIL (power hardware in the loop)
network outage
operational range of PHIL
wind power
elastic demand bids
Model-Based Software Engineering
Enterprise Architecture Management
plug-in electric vehicle
Smart Grid Architecture Model
linear/switching amplifier
pricing scheme
average consensus
traffic reduction technique
cell
gazelle
smart grids control strategies
real-time simulation and hardware-in-the-loop experiments
4G Long Term Evolution—LTE
power loss allocation
cyber-physical energy system
experimentation
microgrid
resilience
integration profiles
remuneration scheme
renewable energy sources
shiftable loads
droop control
Power-Hardware-in-the-Loop
peer-to-peer
validation techniques for innovative smart grid solutions
frequency containment control (FCC)
synchronous power system
power frequency characteristic
development and implementation methods for smart grid technologies
cascading procurement
IEC 62559
device-to-device communication
DC link
validation and testing
information and communication technology
TOGAF
battery energy storage system (BESS)
active distribution network
stability
Validation
synchronized measurements
Architecture
locational marginal prices
SGAM
network reconfiguration
interoperability
seamless communications
fault management
real-time simulation
System-of-Systems
market design elements
micro combined heat and power (micro-CHP)
co-simulation-based assessment methods
islanded operation
connectathon
Software-in-the-Loop
voltage control
electricity distribution
distribution phasor measurement units
centralised control
data mining
robust optimization
modelling and simulation of smart grid systems
hardware-in-the-Loop
smart grids
cyber physical co-simulation
design
decentralised energy system
procurement scheme
Smart Grid
smart grid
distributed control
fuzzy logic
Power Hardware-in-the-Loop (PHIL)
simulation initialization
multi-agent system
adaptive control
real-time balancing market
co-simulation
optimal reserve allocation
Web-of-Cells
Hardware-in-the-Loop
micro-synchrophasors
linear decision rules
synchronization
hardware-in-the-loop
PMU
high-availability seamless redundancy (HSR)
market design
demand response
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url 42714
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