The “ERIGrid Summer School on methods for validation of distributed control strategies via implementation in the physical laboratory” was hosted on 27-31 August 2018Â at the Technical University of Denmark.
Coordination and control are critical in the development of future energy networks. However, many promising concepts fail to bridge the gap from theory to practical application. Experience from actual implementation can be crucial in focusing your research and development. Implementation under realistic conditions is crucial for maturing the solutions as well as convincing further stakeholders.
The summer school focused on methods for validation of distributed control strategies by implementation in the physical laboratory. Participants implemented a control system in SYSLAB, one of the ERIGrid laboratories provided for free access.
In this summer school, participants:
– Learned to formulate test specifications to develop a relevant and realistic test setup
– Experienced the steps along the path from a new control concept to maturing it for validation in a laboratory experiment
– Gained an understanding of how carefully planned Design of Experiments will yield a better understanding of the limits of proposed solutions
Tutorials introducing design of experiments are available here.
Measurements for smart grid applications are sometimes overlooked and assumed to give the correct answer. On 23-25 January 2018 the University of Strathclyde hosted the 1st ERIGrid Winter School âMetrology for Smart Grid Applications and HIL Testingâ. Organised in collaboration with MEAN4SG and the National Physics Laboratory (NPL), the school provided PhD students and young researchers with a mixture of lectures, practical laboratory interactions with ongoing research projects, and a 1-day hands-on laboratory session.
A series of lectures given as part of the winter school focus on the awareness of the measurement accuracy and also provide an introduction into accurate measurement techniques, such as phasor measurement units (PMU), and the testing of the accuracy of such devices. Furthermore, measurement of uncertainty is a relevant aspect to consider when developing simulation models and performing measurements.
You can find the presentations below.
Lab exercises on important DG related topics are carried out using Power Hardware in the Loop (PHIL) simulation at the National Technical University of Athens. An experiential learning approach is applied starting from the concrete experiments and leading to abstract conceptualisation. The following topics are addressed:
1) Parallel operation of synchronous generators – parallel operation with DG
2) Voltage control of distribution networks – contribution of DG
3) Short circuit studies – contribution of power electronics interfaced DGs
4) Microgrid operation and control
All the materials used for lab exercises can be downloaded:
– Preparatory lecture (before the lab exercises)
– Description of the lab exercises in the journal paper “Laboratory Education of Modern Power Systems Using PHIL Simulation” P. Kotsampopoulos, V. Kleftakis, N. HatziargyriouÂ
– Student reports (after the lab exercises):
- Report on the 1st lab exercise âContribution of distributed generation to voltage control â behavior of distributed generation during short-circuitsâ
- Report on the 2nd lab exercise âParallel operation of synchronous generators and distributed generation â monitoring and control of laboratory Microgridâ
In their Real Time Digital Simulator Lab (RTDS), the researchers of Technical University of Delft carry out a series of RTDS exercises, structured into the following modules (all materials are available for free download):
- Module 1: Overview of RTDS hardware and RSCAD
Overview - Module 2: Assembly of Power System Simulation Cases and scripting in RSCAD
Case 1 | Case 2 | Case 3 | Case 4 - Module 3: Reading sending data and automatic simulations from-to Matlab and Python
RTDS Automatic simulations | Resources - Module 4: CBUILDER-small time-step modelling theory-distribution system
CBuilder | Small TimeStep | Distribution System | Resources - Module 5: GTNET, GTFPGA, and PMU applications
Applications | Resources - Module 6: Intro to Interfacing with hardware (control, relays)
Interfacing - Module 7: Small time-step modelling renewables – wind turbine – PV
Wind turbine | PV Model | PV and dynamic load models in RTDS | Resources - Module 8: MMC and HVDC
MMC and HVDC | Resources
The ERIGrid project explores the potential of co-simulation based on the Functional Mock-up Interface (FMI) standard for smart grids research. This presentation – “FMI â Functional Mock-up Interface. Specification and Applications.” by E. Widl (AIT) – provides a brief overview of the FMI specification and some of the FMI-compliant tools used in ERIGrid.
The following two documents present the Mosaik co-simulation framework. The main goal of Mosaik is to couple existing simulators in a common environment in order to perform a coordinated simulation of a given (smart grid) scenario.
more presentations:
The holistic test specification method was developed in ERIGrid to structure and guide the ERIGrid holistic validation approach. This test description method has been adopted into several H2020 projects. The lecture here is based on lectures held at a summer school and ordinary teaching at the Technical University of Denmark.
– The slides “How to Formulate a Test Specification” introduce the concept of holistic test specification, in principle, and by example, contrast it from use cases and summarise the related system configuration description method
– The document “ERIGrid Test Description Templates” provides core definitions and templates for the formulation a test
Below you will find the presentations from the 1st ERIGrid Winter School at the University of Strathclyde. The corresponding lectures focused on the awareness of the measurement accuracy and also provided an introduction into accurate measurement techniques, such as phasor measurement units (PMU), and the testing of the accuracy of such devices.
The impact of power quality on measurements (Dr. Andrew Roscoe, Univeristy of Strathclyde)
How accurate is a measurement? (Dr. Andrew Roscoe, Univeristy of Strathclyde)
An introduction to measurement uncertainty (Ian Smith, NPL)
Uncertainties in modelling (Louise Wright, NPL)
Adaptive-window PMU algorithms using cascaded boxcar filters to meet and exceed C37.118.1(A) requirements (Dr. Andrew Roscoe, Univeristy of Strathclyde)
PMU (algorithm) testing to C37.118.1(A) in software (Dr. Andrew Roscoe, Univeristy of Strathclyde)
Laboratory education in the power systems domain is usually performed with software simulations and more rarely with small hardware setups with limited capabilities (contrary to other domains e.g. electric machines). On 10 October 2018, RTDS European Users’ Group Meeting took place in Genk (BE), where Panos Kotsampopoulos of NTUA talked about the advantages of PHIL and CHIL simulation for education, research and testing.
The presentation is available below:
PHIL and CHIL simulation for education, research and testing
more presentations:
- CHIL and PHIL simulation: key features and applications
- HIL testing of adaptive protection in destribution grids
- DER inverter development and testing using HIL simulation
- Voltage control in distribution networks with high DER integration: HIL experiences
- Islanding detection and seamless transition through operation modes in microgrids: HIL experiences
- Distributed control applications using Virtual Power Plants
- Laboratory demonstrations
- Development and testing of resilience grid automation using RT simulations
ERIGrid carries out performance analysis of islanded or grid-connected PV systems under varying operating conditions with the use of pure simulation models. The analysis includes models for PV panels, batteries, inverters and diesel gen-sets: “Autonomous and Grid-connected Photovoltaic Systems Modelling for Simulation Purposes” E. Rikos (CRES)
Following is an overview of the most common Maximum Power-Point Tracking algorithms used by commercial inverters’ manufacturers or other research studies. The specific algorithms can be used in simulation analyses or design of inverter components: “Overview of methods for Maximum Power Point Tracking in PVs” E. Rikos (CRES)
This presentation demonstrates the use of power converters for the emulation of PV arrays as test setup components for the performance evaluation of PV inverters: “Overview of methods for HW Simulation for PVs” E. Rikos (CRES)
Two Remote Lab applications have been developed, which allow the user to connect remotely to actual laboratory infrastructure, obtain measurements and control devices. A description of the Remote Labs is provided at the below links:
Voltage control, microgrids and Virtual Power Plants
If you are interested to use the “Microgrid balancing” remote lab, contact [at][.]
If you are interested to use the “Voltage control, microgrids and Virtual Power Plants” remote lab, contact [at][.][.][.]
HEMS Scenario Build Up: This Jupyter notebook introduces how to build up a Home Energy Management System (HEMS) simulation scenario using mosaik for co-simulation. The notebook introduces gradually more complexity to the simulation.
Mosaik Jupyter Notebook demos: A set of Jupyter Notebooks that gradually set up a more and more complex power system co-simulation. Requires mosaik co-simulation demo to be installed. For more information see the readme file.
DoE Exercises: This file contains a series of notebooks showing examples of Design of Experiments (DoE). They use the HEMS simulation in mosaik as a test case, and showcase simple and advanced DoE concepts, such as one-way ANOVA and meta-modelling using non-parametric methods. For more information see the readme file.
Different software and hardware components are put together to develop a demonstration use case in which the resilience of a simplified cyber-physical system may be tested.
- Mosaik co-simulation demo: This software demo provides an executable scenario of the light-weight mosaik co-simulation environment including power flow calculation (based on PyPower), generation and load time series, a database module, and a visualization tool to analyze and monitor the calculation.
- Mosaik GUI (MAVERIG): The mosaik GUI module allows easily to set up power system co-simulations in a pretty and user-friendly graphical environment (Warning: MAVERIG development and deployment is currently not supported by the mosaik team so that you may run into installation problems depending on your setup),
- Mosaik Jupyter Notebook demos: A set of Jupyter Notebooks that gradually set up a more and more complex power system co-simulation. Requires mosaik co-simulation demo to be installed. For more information see the readme file.
The Virtual Lab is an online educational simulation tool that mimics the operation of the actual laboratory microgrid of ICCS-NTUA. A mathematical model of the laboratory microgrid has been developed along with a friendly Graphical User Interface. The tool aims to familiarize the user with two aspects of Smart Grids through two distinct experiments: Voltage Control and Microgrid Operation.
Experiment #1: Voltage Control
The main objectives of this experiment are to demonstrate the voltage rise issue that can occur in distribution networks, due to the high production of Distributed Generation (DG) (mainly Photovolta-ics), but also the ancillary services that modern DG inverters offer in order to mitigate the afore-mentioned voltage rise.
Experiment #2: Microgrid operation
The objective of the second experiment is to familiarize the user with the concept of microgrids in both grid-connected and islanded operating modes.
You can access the Virtual Lab tool from the link below:
https://virtuallabntua.herokuapp.com/login
(Please insert your email, choose a password and then press âsign upâ. A verification email will be sent to your inbox. Follow the verification link and then you can login with your email and password).
More information, including suggestions on how to use the tool, can be found in this readme.
WEST tool allows creation of an FMU server to deliver the FMU in all confidentiality and security. The adaptive interface provides the possibility to do simulation with FMU both in model exchange and co-simulation mode. Upon finalization of installation, user can deposit new FMU into server and can get access to them via webservice. The tool now support FMI 1.0. A new version supporting FMI 2.0 is under development. You can download the WEST tool here. You can find more information about the WEST tool and its basic functionality in this Read Me file.
On 26 November 2019 ERIGrid held a webinar on the demonstration of multi research infrastructure integration tests.
This webinar focused on the following topics:
- Demonstration of hardware/software integration between different Research Infrastructures
- Improving a control by a testing-chain approach
- Demonstration of physically integrated research infrastructure
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
On 21 October 2019 ERIGrid held a webinar on the holistic validation approach and the corresponding test description.
This webinar focused on the following topics:
- overview of holistic testing description method,
- highlights from three yearsâ experience with the holistic testing approach,
- detailed example of the holistic testing approach in a multi-domain test case realised in a multi-laboratory testbed within the ERIGrid project.
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
On 9 April 2019 ERIGrid held a webinar on Co-Simulation based Assessment Methods and their usage in the project.
This webinar focused on the following topics:
- Development of Co-simulation approach
- Development of necessary interfaces, couplings, test systems etc.
- Implementations in the ERIGrid project
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
IEC 61850, CIM and their implementation in the ERIGrid project
On 23 March 2018 ERIGrid held a webinar on ICT standards for Smart Grids and their usage in the project.
This webinar focused on the following topics:
- ICT interoperability in smart grids
- IEC 61850 and CIM
- Open source implementations in the ERIGrid project
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
best practices and experiences from the ERIGrid project
On 5 December 2017 ERIGrid held a webinar on power hardware in the loop (PHIL) simulation showcasing best practices and experiences in the project.
This webinar focused on the following topics:
- Characteristics of PHIL simulation
- Stability, accuracy issues, interface topologies and stabilisation methods
- PHIL tests that show the value of the approach: DER inverters providing ancillary services, voltage-frequency control, microgrids, etc
- Improved Hardware in the Loop (HIL) methods in the ERIGrid project
- Live demonstration of HIL tests
OpSim is a test and simulation environment with applications ranging from developing prototype controllers to testing operative control software in the smart grid domain. Created by Fraunhofer IWES and University of Kassel, OpSim enables users to connect their software to simulated power systems, or test it in conjunction with other software. The power grid simulator of OpSim is capable of emulating large power systems with multiple voltage levels and substantial amounts of generators, storages and loads. The core of OpSim is a flexible message bus architecture; it allows arbitrary co-simulations in which power system simulators, controllers and operative control software can be coupled together.
ERIGrid held a webinar on OpSim on 27 June 2017, which covered the following topics:
- Introduction to the co-simulation platform OpSim using a message bus for exchanging data of different simulation tools
- Connection of a RTS (OPAL-RT) for real-time network simulation to the message bus
- Connection via web-based interfaces to the message bus for including several infrastructures in one experiment
- Demonstration of the OpSim platform
Further information about OpSim:
The ERIGrid project explores the potential of co-simulation based on the Functional Mock-up Interface (FMI) standard for smart grids research. This presentation – “FMI â Functional Mock-up Interface. Specification and Applications.” by E. Widl (AIT) – provides a brief overview of the FMI specification and some of the FMI-compliant tools used in ERIGrid.
The following two documents present the Mosaik co-simulation framework. The main goal of Mosaik is to couple existing simulators in a common environment in order to perform a coordinated simulation of a given (smart grid) scenario.
more presentations:
ERIGrid carries out performance analysis of islanded or grid-connected PV systems under varying operating conditions with the use of pure simulation models. The analysis includes models for PV panels, batteries, inverters and diesel gen-sets: “Autonomous and Grid-connected Photovoltaic Systems Modelling for Simulation Purposes” E. Rikos (CRES)
Following is an overview of the most common Maximum Power-Point Tracking algorithms used by commercial inverters’ manufacturers or other research studies. The specific algorithms can be used in simulation analyses or design of inverter components: “Overview of methods for Maximum Power Point Tracking in PVs” E. Rikos (CRES)
This presentation demonstrates the use of power converters for the emulation of PV arrays as test setup components for the performance evaluation of PV inverters: “Overview of methods for HW Simulation for PVs” E. Rikos (CRES)
HEMS Scenario Build Up: This Jupyter notebook introduces how to build up a Home Energy Management System (HEMS) simulation scenario using mosaik for co-simulation. The notebook introduces gradually more complexity to the simulation.
Mosaik Jupyter Notebook demos: A set of Jupyter Notebooks that gradually set up a more and more complex power system co-simulation. Requires mosaik co-simulation demo to be installed. For more information see the readme file.
WEST tool allows creation of an FMU server to deliver the FMU in all confidentiality and security. The adaptive interface provides the possibility to do simulation with FMU both in model exchange and co-simulation mode. Upon finalization of installation, user can deposit new FMU into server and can get access to them via webservice. The tool now support FMI 1.0. A new version supporting FMI 2.0 is under development. You can download the WEST tool here. You can find more information about the WEST tool and its basic functionality in this Read Me file.
Mosaik co-simulation demo: This software demo provides an executable scenario of the light-weight mosaik co-simulation environment including power flow calculation (based on PyPower), generation and load time series, a database module, and a visualization tool to analyze and monitor the calculation.
Mosaik GUI (MAVERIG): The mosaik GUI module allows easily to set up power system co-simulations in a pretty and user-friendly graphical environment (Warning: MAVERIG development and deployment is currently not supported by the mosaik team so that you may run into installation problems depending on your setup),
Mosaik Jupyter Notebook demos: A set of Jupyter Notebooks that gradually set up a more and more complex power system co-simulation. Requires mosaik co-simulation demo to be installed. For more information see the readme file.
On 9 April 2019 ERIGrid held a webinar on Co-Simulation based Assessment Methods and their usage in the project.
This webinar focused on the following topics:
- Development of Co-simulation approach
- Development of necessary interfaces, couplings, test systems etc.
- Implementations in the ERIGrid project
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
OpSim is a test and simulation environment with applications ranging from developing prototype controllers to testing operative control software in the smart grid domain. Created by Fraunhofer IWES and University of Kassel, OpSim enables users to connect their software to simulated power systems, or test it in conjunction with other software. The power grid simulator of OpSim is capable of emulating large power systems with multiple voltage levels and substantial amounts of generators, storages and loads. The core of OpSim is a flexible message bus architecture; it allows arbitrary co-simulations in which power system simulators, controllers and operative control software can be coupled together.
ERIGrid held a webinar on OpSim on 27 June 2017, which covered the following topics:
- Introduction to the co-simulation platform OpSim using a message bus for exchanging data of different simulation tools
- Connection of a RTS (OPAL-RT) for real-time network simulation to the message bus
- Connection via web-based interfaces to the message bus for including several infrastructures in one experiment
- Demonstration of the OpSim platform
Further information about OpSim:
Lab exercises on important DG related topics are carried out using Power Hardware in the Loop (PHIL) simulation at the National Technical University of Athens. An experiential learning approach is applied starting from the concrete experiments and leading to abstract conceptualisation. The following topics are addressed:
1) Parallel operation of synchronous generators – parallel operation with DG
2) Voltage control of distribution networks – contribution of DG
3) Short circuit studies – contribution of power electronics interfaced DGs
4) Microgrid operation and control
All the materials used for lab exercises can be downloaded:
– Preparatory lecture (before the lab exercises)
– Description of the lab exercises in the journal paper “Laboratory Education of Modern Power Systems Using PHIL Simulation” P. Kotsampopoulos, V. Kleftakis, N. HatziargyriouÂ
– Student reports (after the lab exercises):
- Report on the 1st lab exercise âContribution of distributed generation to voltage control â behavior of distributed generation during short-circuitsâ
- Report on the 2nd lab exercise âParallel operation of synchronous generators and distributed generation â monitoring and control of laboratory Microgridâ
In their Real Time Digital Simulator Lab (RTDS), the researchers of Technical University of Delft carry out a series of RTDS exercises, structured into the following modules (all materials are available for free download):
- Module 1: Overview of RTDS hardware and RSCAD
Overview - Module 2: Assembly of Power System Simulation Cases and scripting in RSCAD
Case 1 | Case 2 | Case 3 | Case 4 - Module 3: Reading sending data and automatic simulations from-to Matlab and Python
RTDS Automatic simulations | Resources - Module 4: CBUILDER-small time-step modelling theory-distribution system
CBuilder | Small TimeStep | Distribution System | Resources - Module 5: GTNET, GTFPGA, and PMU applications
Applications | Resources - Module 6: Intro to Interfacing with hardware (control, relays)
Interfacing - Module 7: Small time-step modelling renewables – wind turbine – PV
Wind turbine | PV Model | PV and dynamic load models in RTDS | Resources - Module 8: MMC and HVDC
MMC and HVDC | Resources
Laboratory education in the power systems domain is usually performed with software simulations and more rarely with small hardware setups with limited capabilities (contrary to other domains e.g. electric machines). On 10 October 2018, RTDS European Users’ Group Meeting took place in Genk (BE), where Panos Kotsampopoulos of NTUA talked about the advantages of PHIL and CHIL simulation for education, research and testing.
The presentation is available below:
PHIL and CHIL simulation for education, research and testing
more presentations:
- CHIL and PHIL simulation: key features and applications
- HIL testing of adaptive protection in destribution grids
- DER inverter development and testing using HIL simulation
- Voltage control in distribution networks with high DER integration: HIL experiences
- Islanding detection and seamless transition through operation modes in microgrids: HIL experiences
- Distributed control applications using Virtual Power Plants
- Laboratory demonstrations
- Development and testing of resilience grid automation using RT simulations
best practices and experiences from the ERIGrid project
On 5 December 2017 ERIGrid held a webinar on power hardware in the loop (PHIL) simulation showcasing best practices and experiences in the project.
This webinar focused on the following topics:
- Characteristics of PHIL simulation
- Stability, accuracy issues, interface topologies and stabilisation methods
- PHIL tests that show the value of the approach: DER inverters providing ancillary services, voltage-frequency control, microgrids, etc
- Improved Hardware in the Loop (HIL) methods in the ERIGrid project
- Live demonstration of HIL tests
The “ERIGrid Summer School on methods for validation of distributed control strategies via implementation in the physical laboratory” was hosted on 27-31 August 2018 at the Technical University of Denmark.
Coordination and control are critical in the development of future energy networks. However, many promising concepts fail to bridge the gap from theory to practical application. Experience from actual implementation can be crucial in focusing your research and development. Implementation under realistic conditions is crucial for maturing the solutions as well as convincing further stakeholders.
The summer school focused on methods for validation of distributed control strategies by implementation in the physical laboratory. Participants implemented a control system in SYSLAB, one of the ERIGrid laboratories provided for free access.
In this summer school, participants:
– Learned to formulate test specifications to develop a relevant and realistic test setup
– Experienced the steps along the path from a new control concept to maturing it for validation in a laboratory experiment
– Gained an understanding of how carefully planned Design of Experiments will yield a better understanding of the limits of proposed solutions
Tutorials introducing design of experiments are available here.
Measurements for smart grid applications are sometimes overlooked and assumed to give the correct answer. On 23-25 January 2018 the University of Strathclyde hosted the 1st ERIGrid Winter School âMetrology for Smart Grid Applications and HIL Testingâ. Organised in collaboration with MEAN4SG and the National Physics Laboratory (NPL), the school provided PhD students and young researchers with a mixture of lectures, practical laboratory interactions with ongoing research projects, and a 1-day hands-on laboratory session.
A series of lectures given as part of the winter school focus on the awareness of the measurement accuracy and also provide an introduction into accurate measurement techniques, such as phasor measurement units (PMU), and the testing of the accuracy of such devices. Furthermore, measurement of uncertainty is a relevant aspect to consider when developing simulation models and performing measurements.
You can find the presentations below.
Below you will find the presentations from the 1st ERIGrid Winter School at the University of Strathclyde. The corresponding lectures focused on the awareness of the measurement accuracy and also provided an introduction into accurate measurement techniques, such as phasor measurement units (PMU), and the testing of the accuracy of such devices.
The impact of power quality on measurements (Dr. Andrew Roscoe, Univeristy of Strathclyde)
How accurate is a measurement? (Dr. Andrew Roscoe, Univeristy of Strathclyde)
An introduction to measurement uncertainty (Ian Smith, NPL)
Uncertainties in modelling (Louise Wright, NPL)
Adaptive-window PMU algorithms using cascaded boxcar filters to meet and exceed C37.118.1(A) requirements (Dr. Andrew Roscoe, Univeristy of Strathclyde)
PMU (algorithm) testing to C37.118.1(A) in software (Dr. Andrew Roscoe, Univeristy of Strathclyde)
The holistic test specification method was developed in ERIGrid to structure and guide the ERIGrid holistic validation approach. This test description method has been adopted into several H2020 projects. The lecture here is based on lectures held at a summer school and ordinary teaching at the Technical University of Denmark.
– The slides “How to Formulate a Test Specification” introduce the concept of holistic test specification, in principle, and by example, contrast it from use cases and summarise the related system configuration description method
– The document “ERIGrid Test Description Templates” provides core definitions and templates for the formulation a test
DoE Exercises: This file contains a series of notebooks showing examples of Design of Experiments (DoE). They use the HEMS simulation in mosaik as a test case, and showcase simple and advanced DoE concepts, such as one-way ANOVA and meta-modelling using non-parametric methods. For more information see the readme file.
Different software and hardware components are put together to develop a demonstration use case in which the resilience of a simplified cyber-physical system may be tested.
On 26 November 2019 ERIGrid held a webinar on the demonstration of multi research infrastructure integration tests.
This webinar focused on the following topics:
- Demonstration of hardware/software integration between different Research Infrastructures
- Improving a control by a testing-chain approach
- Demonstration of physically integrated research infrastructure
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
On 21 October 2019 ERIGrid held a webinar on the holistic validation approach and the corresponding test description.
This webinar focused on the following topics:
- overview of holistic testing description method,
- highlights from three yearsâ experience with the holistic testing approach,
- detailed example of the holistic testing approach in a multi-domain test case realised in a multi-laboratory testbed within the ERIGrid project.
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
Two Remote Lab applications have been developed, which allow the user to connect remotely to actual laboratory infrastructure, obtain measurements and control devices. A description of the Remote Labs is provided at the below links:
Voltage control, microgrids and Virtual Power Plants
If you are interested to use the “Microgrid balancing” remote lab, contact [at][.]
If you are interested to use the “Voltage control, microgrids and Virtual Power Plants” remote lab, contact [at][.][.][.]
The Virtual Lab is an online educational simulation tool that mimics the operation of the actual laboratory microgrid of ICCS-NTUA. A mathematical model of the laboratory microgrid has been developed along with a friendly Graphical User Interface. The tool aims to familiarize the user with two aspects of Smart Grids through two distinct experiments: Voltage Control and Microgrid Operation.
Experiment #1: Voltage Control
The main objectives of this experiment are to demonstrate the voltage rise issue that can occur in distribution networks, due to the high production of Distributed Generation (DG) (mainly Photovolta-ics), but also the ancillary services that modern DG inverters offer in order to mitigate the afore-mentioned voltage rise.
Experiment #2: Microgrid operation
The objective of the second experiment is to familiarize the user with the concept of microgrids in both grid-connected and islanded operating modes.
You can access the Virtual Lab tool from the link below:
https://virtuallabntua.herokuapp.com/login
(Please insert your email, choose a password and then press âsign upâ. A verification email will be sent to your inbox. Follow the verification link and then you can login with your email and password).
More information, including suggestions on how to use the tool, can be found in this readme.
On 26 November 2019 ERIGrid held a webinar on the demonstration of multi research infrastructure integration tests.
This webinar focused on the following topics:
- Demonstration of hardware/software integration between different Research Infrastructures
- Improving a control by a testing-chain approach
- Demonstration of physically integrated research infrastructure
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)
IEC 61850, CIM and their implementation in the ERIGrid project
On 23 March 2018 ERIGrid held a webinar on ICT standards for Smart Grids and their usage in the project.
This webinar focused on the following topics:
- ICT interoperability in smart grids
- IEC 61850 and CIM
- Open source implementations in the ERIGrid project
and was supported by
- IEEE IES Technical Committee on Smart Grids (TC-SG)
- IEEE SMCs Technical Committee Cybernetics for Intelligent Industrial Systems (TC-IIS)