6 research outputs found
Methodology for the evaluation of resilience of ICT systems for smart distribution grids
Ensuring resilient operation and control of smart grids is fundamental for empowering their deployment, but challenging at the same time. Accordingly, this study proposes a novel methodology for evaluating resilience of Information and Communication Technology (ICT) systems for smart distribution grids. Analysing how the system behaves under changing operating conditions a power system perspective allows to understand how resilient the smart distribution grid is, but the resilience of the ICT system in charge of its operation affects the overall performance of the system and does, therefore, condition its resilience. With the aim of systematising the evaluation of ICT systems’ resilience, this study proposes to combine a standardized modelling of Smart Grids, the Smart Grid Architecture Model (SGAM), with a data structured diagram, the Entity Relationship Model (ERM). The architecture of smart distribution grids is analysed through SGAM. Then, their technical characteristics and functionalities are defined and represented in a ERM diagram. Finally, the attributes or properties of the system components are used to formulate resilience indicators against different types of disturbances. This methodology is then applied to analyse the resilience of a ICT platform being developed in EMPOWER H2020 project.Postprint (published version
Quantifying the resilience of future distributed grids
Smart distributed power systems are an important part of the energy shift that is
currently taking place. Electricity generation, as well as power system control is
moving from central operation towards local distribution grid operation, mainly due
to the new possibilities that come along with distributed energy resources (DERs).
These allow local consumers to generate their own electricity (prosumer), and offer
support services to the grid, such as frequency control for example. Smart distributed
grids can improve the local operation of DERs by coordinating demand and supply
in real-time, and as such improve the power quality of the distribution grid, as
well as improve the security of energy supply on local level. However, intelligent
control systems, such as design of the H2020 project EMPOWER that will be used
in this work, bring along complex new interconnections in the distribution grid,
that may lead to increased risk of failure propagations in the distribution grid. As
this, and several other challenges of the smart distributed grid could counteract the
anticipated benefits, the need arises to evaluate how well an intelligent control system
can cope with constantly evolving interconnections in the distribution grid, with the
addition of new technologies, with the grid vulnerabilities regarding cyber security,
etc. Evaluating how a system behaves when going through changing conditions,
or when undergoing a disturbance, can be defined as resilience analysis, and this
is what this thesis will be about. First, resilience will be defined in the context
of smart distributed power systems through an extensive literature review, after
which a resilience framework will be developed, based on the existing EMPOWER
smart distribution grid. The technical characteristics, as well as the functionalities
of the system will be defined and represented in an entity-relationship model. This
model will serve as a basis to assess the level of dependencies that each main
system functionality has in relation to three elements: the physical infrastructure
of the system, its socio-economic environment, and the ICT network. Moreover,
the attributes, or properties of the system components will be used to formulate
resilience indicators against different types of disturbances of the smart distribution
grid
Quantifying the resilience of future distributed grids
Smart distributed power systems are an important part of the energy shift that is
currently taking place. Electricity generation, as well as power system control is
moving from central operation towards local distribution grid operation, mainly due
to the new possibilities that come along with distributed energy resources (DERs).
These allow local consumers to generate their own electricity (prosumer), and offer
support services to the grid, such as frequency control for example. Smart distributed
grids can improve the local operation of DERs by coordinating demand and supply
in real-time, and as such improve the power quality of the distribution grid, as
well as improve the security of energy supply on local level. However, intelligent
control systems, such as design of the H2020 project EMPOWER that will be used
in this work, bring along complex new interconnections in the distribution grid,
that may lead to increased risk of failure propagations in the distribution grid. As
this, and several other challenges of the smart distributed grid could counteract the
anticipated benefits, the need arises to evaluate how well an intelligent control system
can cope with constantly evolving interconnections in the distribution grid, with the
addition of new technologies, with the grid vulnerabilities regarding cyber security,
etc. Evaluating how a system behaves when going through changing conditions,
or when undergoing a disturbance, can be defined as resilience analysis, and this
is what this thesis will be about. First, resilience will be defined in the context
of smart distributed power systems through an extensive literature review, after
which a resilience framework will be developed, based on the existing EMPOWER
smart distribution grid. The technical characteristics, as well as the functionalities
of the system will be defined and represented in an entity-relationship model. This
model will serve as a basis to assess the level of dependencies that each main
system functionality has in relation to three elements: the physical infrastructure
of the system, its socio-economic environment, and the ICT network. Moreover,
the attributes, or properties of the system components will be used to formulate
resilience indicators against different types of disturbances of the smart distribution
grid
Qualitative analysis of cetomacrogol creams by thin-layer chromatography-flame ionization detection (TLC-FID)
status: publishe
Methodology for the evaluation of resilience of ICT systems for smart distribution grids
Ensuring resilient operation and control of smart grids is fundamental for empowering their deployment, but challenging at the same time. Accordingly, this study proposes a novel methodology for evaluating resilience of Information and Communication Technology (ICT) systems for smart distribution grids. Analysing how the system behaves under changing operating conditions a power system perspective allows to understand how resilient the smart distribution grid is, but the resilience of the ICT system in charge of its operation affects the overall performance of the system and does, therefore, condition its resilience. With the aim of systematising the evaluation of ICT systems’ resilience, this study proposes to combine a standardized modelling of Smart Grids, the Smart Grid Architecture Model (SGAM), with a data structured diagram, the Entity Relationship Model (ERM). The architecture of smart distribution grids is analysed through SGAM. Then, their technical characteristics and functionalities are defined and represented in a ERM diagram. Finally, the attributes or properties of the system components are used to formulate resilience indicators against different types of disturbances. This methodology is then applied to analyse the resilience of a ICT platform being developed in EMPOWER H2020 project