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This deliverable describes the work conducted in ERIGrid 2.0 task NA4.1 ’Definition of Functional Scenarios’. The work has been conducted via a survey and a brainstorming workshop.The results are six Functional Scenarios: Ancillary services provided by Distributed Energy Resources (DERs) and active grid assets, Microgrids & energy communities, Sector coupling, Frequency and voltage stability in inverter dominated power systems, Aggregation and flexibility management, and Digitalisation, which describe the overarching topics within ERIGrid 2.0. The Functional Scenarios will beused as an input in further ERIGrid 2.0 work. Smart grid and smart energy systems solutions have become complex and multidisciplinary.With the further integration of Information and Communication Technology (ICT) and other energy systems new testing scenarios, profiles, and processes must be defined. In order toachieve this, big trends affecting research, testing, and validation processes have been reviewed, with a special focus on new aspects such as interoperability testing or digitalisation.The scenario descriptions define requirements, actors, etc. on a functional level. ERIGrid 2.0work package NA4 ’Iterative Creation of Scenarios and Test Case Profiles’ addresses theseneeds. This work has been conducted with emphasis on the alignment with the EuropeanGreen Deal, further support on the technology validation and roll-out phases, and further integration of the research infrastructures. A Functional Scenario has been defined as an umbrella term comprising of motivation andrelevance for ERIGrid 2.0, system descriptions, use case and test case descriptions, and experimental setup descriptions. Each scenario has a single core idea and is formed on the basisof inclusiveness. Functional Scenarios consider several high-level scenarios in other projectsand networks as a background forming the overall circumstances in which the Functional Scenario is considered. The high-level scenarios provide a holistic understanding of the currentstatus and development while also highlighting future visions and requirements impacting theFunctional Scenarios. The high-level scenarios also address the high-level drivers for the Functional Scenarios, such as needs for digitalisation of the smart energy systems. Furthermore,Functional Scenarios are related to the generic system configurations developed in ERIGridand consider the work conducted in ERIGrid as a strong background for ERIGrid 2.0. The necessity for a mutual understanding of scenarios which are of interest to the ERIGrid2.0 partners and their research infrastructures and in alignment of the project objectives, ledto conducting a survey regarding the first actions of the NA4.1 work. The purpose of thissurvey was to gather inputs on a set of Functional Scenarios that were analysed in more detailto deduce the most relevant approaches for ERIGrid 2.0. Overall, 15 partners participatedin the survey and submitted 35 scenarios. The survey results include scenarios on sectorcoupling, multi-energy systems, ICT and automation, energy communities, microgrids and low- inertia grids, and stability, control and grid code challenges. Detailed descriptions of FunctionalScenarios submitted to the survey are presented in Appendix A: Functional Scenario SurveyData of this deliverable. The formation of the Functional Scenarios was organised in six working groups, each of whichfocused on a single Functional Scenario. The decision on the six Functional Scenario wastaken during the NA4 regular meetings and the brainstorming workshop itself based on theresults of the Functional Scenario survey. The focus of the first working group has been on a component focused scenario developedbased on the survey results on DERs and inverters. The resulting Functional Scenario 1 integrates key components, such as DER inverters and controllers with ICT, control and automationarchitectures to enable new grid services with the development of interfaces between the activecomponents. The second working group has been focused on topics related to microgrids andenergy communities forming Functional Scenario 2 to support the local microgrid and energycommunity development by enabling flexibility services locally with ICT and control includingexploitation of grid intelligence. While the third working group has been working on the surveyresults on sector coupling and multi-energy systems with Functional Scenario 3 anticipating amassive roll-out of power-to-X components in the near future by developing system level understanding of the impacts on the electrical domain. The fourth working group has been focusedon grid management and overall the perspectives of Distribution System Operators (DSOs)and Transmission System Operators (TSOs) resulting in Functional Scenario 4 assuring frequency and voltage stability in low inertia systems through capabilities of Renewable EnergySources (RES), Distributed Generation (DG), controllable loads and storage systems as wellas ICT and control systems. The fifth working group has been based on the survey resultscomprising of aggregation, flexibility, market and reserve topics and defined Functional Scenario 5 to focus oncommunication functionality for aggregation, service matching, fail-over,configuration, and interoperability addressing scale-related properties of aggregation and control solutions. Lastly, the sixth working group has been focused on digitalisation including widerange of topics such as ICT infrastructure, communication, automation, control and monitoring.Functional Scenario 6 explores the impact of ICT solutions on the physical (electrical power)system covering new applications of data and data processing as well as new paths for exchanging data. The Functional Scenario templates used during the brainstorming workshop have been included in the Appendix B: Functional Scenario Templates. The work started in NA4.1 will continue in NA4.2 and NA4.4 with discussions on more detaileddefinitions of the test cases which will initially provide the inputs for other project activities. Thediscourse on the Functional Scenarios is also assumed to support ERIGrid 2.0 physical lab andvirtual access work and decision-making beyond ERIGrid 2.0.

The integration of renewable energy resources - as key enablers for the reduction of greenhouse gas emissions into the power systems - has increased over the past years and led to higher complexity of electric power systems. The increased availability of advanced automation and communication technology, along with novel intelligent solutions for system operation has transformed the traditional power system into a cyber-physical energy system - a smart grid. Research activities so far have mainly focused on validating certain aspects of the smart grid. However, a holistic and integrated approach for analysing and evaluating such complex system has not been developed yet. The ERIGrid project aimed to support the technology development and rollout of smart grid approaches, solutions and concepts in Europe by addressing the aspect of system validation for smart grids and developing common methods, concepts and procedures by integrating eighteen European research centres and institutions with outstanding research infrastructures. We are proud to present hereafter an executive summary of the main developments, achievements, and results of the project.

Coming to an end in April 2020, the ERIGrid project organised itsVirtual Final Conferencededicated to presenting the outcomes of the 5 years of work towardsthe integrated research infrastructure for smart grid systems. The project consortium presented the ERIGridholistic testing approach for validating cyber-physical energy systemsand other outstanding achievements on April 1, 2020.ERIGrid’sfree access to Europe’s leading laboratories (Transnational Access)has also been covered, i.e., successful users presented their energy efficient solutions that they tested at the labs of ERIGrid partners. The following presentations have been provided: Session “ERIGrid Achievements“ Welcome and ERIGrid Overview System-level Testing Approach Laboratory Coupling Approach Laboratory and Hardware-in-the-Loop based Assessment Methods Simulation-based Assessment Methods Education and Training Methods and Tools Outlook ERIGrid 2.0 Session “Facilitating Effective Laboratory Testing by Lab Users” Overview of Achievements of the ERIGrid Transnational Access Programme Application of OLTC Transformer and Distributed Generation for Voltage Control on Low Voltage Distribution Networks Datalogging, Power Converters and Machine Learning: How ERIGRID has kick started my research on planned perennity in microgrids Hardware-in-the-Loop Modelling, Simulation and Closed-Loop Testing of a distribution integrated PV Plant VILLAS4ERIGrid: Geographically Distributed Real-time Simulation and PHIL between TU Delft, DTU Risø, Lyngby and RWTH Aachen Extensive Impacts of SunHILL Impact of Time variant Grid Impedance on Power Line Communication System

One can define an energy system as a system that converts one or more energy fluxes into other energy fluxes of a different kind. This definition may describe a relatively small system, for instance, a power plant, a chemical plant, or the heating and cooling apparatus of a single-family house, as well as one covering larger energy needs, for example, those of a city, a country, or even a continent. As energy systems are developed through the centuries, the way we structure these systems goes through changes affected by contextual conditions. Recently, concerns about the availability of traditional fossil energy sources and their environmental effects are revolutionizing the way energy systems are planned, designed, and operated.

The integration of renewable energy resources - as key enablersforthereductionof greenhouse gas emissions into the power systems -has increased over the pastyears and led to higher complexity of electric power systems. The increased availabilityof advanced automation and communication technology, along with novel intelligentsolutions for system operation has transformed the traditional power system into acyber-physical energy system - a smart grid. In this context research and technology development are important to turn the existing energy infrastructure into a sustainable one. A major rolein all these developments are research infrastructures in the domain of power and energy systems. This presentation provides an overview of achievements, experiences and lessons learned from European smart grid and distributed energy resources research infrastructure projectsgained over more than a decade so far.&nbsp

Coming to an end in April 2020, the ERIGrid project organised its Virtual Final Conference dedicated to presenting the outcomes of the 5 years of work towards the integrated research infrastructure for smart grid systems. The project consortium presented the ERIGrid holistic testing approach for validating cyber-physical energy systems and other outstanding achievements on April 1, 2020. ERIGrid’s free access to Europe’s leading laboratories (Transnational Access) has also been covered, i.e., successful users presented their energy efficient solutions that they tested at the labs of ERIGrid partners. The following presentations have been provided: Session “ERIGrid Achievements“ Welcome and ERIGrid Overview System-level Testing Approach Laboratory Coupling Approach Laboratory and Hardware-in-the-Loop based Assessment Methods Simulation-based Assessment Methods Education and Training Methods and Tools Outlook ERIGrid 2.0 Session “Facilitating Effective Laboratory Testing by Lab Users” Overview of Achievements of the ERIGrid Transnational Access Programme Application of OLTC Transformer and Distributed Generation for Voltage Control on Low Voltage Distribution Networks Datalogging, Power Converters and Machine Learning: How ERIGRID has kick started my research on planned perennity in microgrids Hardware-in-the-Loop Modelling, Simulation and Closed-Loop Testing of a distribution integrated PV Plant VILLAS4ERIGrid: Geographically Distributed Real-time Simulation and PHIL between TU Delft, DTU Risø, Lyngby and RWTH Aachen Extensive Impacts of SunHILL Impact of Time variant Grid Impedance on Power Line Communication System

Transforming an existing energy system to an intelligent system, a so-called smart grid, requiresa multidisciplinary approach because of its complexity involving Information and Communications Technology (ICT) integration, amongst others. The technical challenges arise on how tointegrate the new technology into the existing system considering the interoperability and performance.This requires new solutions involving testing scenarios, technology development,validation processes, and roll-out procedures. The ERIGrid 2.0 project aims to enhance theresearch infrastructures’ capabilities and supports the research and technology developmenttowards smart energy systems in Europe. This necessitates system-level testing before furtherdeployment and roll-out. New innovative testing scenarios, Use Case (UC) and Test Case (TC)need to be developed, extended, updated, and shared with researchers and practitioners. This report presents the “Common Reference Test Case Profiles” to serve as the referenceTCs in the ERIGrid 2.0 project and also facilitates their application for interested external partners. Functional Scenario (FS) are used to define a high-level description of the TC. There aretwenty-five TCs developed in the project which are mapped using the six FSs: 1) ancillary services provided by Distributed Energy Resources (DERs) and active grid assets, 2) microgridsand energy community, 3) sector coupling, 4) frequency and voltage stability, 5) aggregationand flexibility management, and 6) digitalisation. These six FSs can cover a significant proportion of relevant aspects of a multi-domain cyber-physical energy system. To facilitate the implementation at Research Infrastructures (RIs), The Holistic Test Description (HTD) approach from the predecessor project ERIGrid is used to formulate the TC, forinstance the system description, System under Test (System under Test (SuT)), Object underInvestigation (OuI), Domain under Investigation (DuI), Use Case (UC) and Purpose of Investigation (PoI). In addition, each TC is defined with keywords to define the characteristics ofthe technological area, which is useful for the users to select the specific TC. The keywordsare defined corresponding to four relevant dimensions: 1) domain under investigation, 2) the phenomenon under test, 3) type of assessment, and 4) test system/component. Each TC isindividually presented as a document with the HTD template. The TCs serves as the reference pool within and beyond ERIGrid 2.0 by providing, for example, identifying key uncertainties for developing various validation approaches, demonstrationof the method for the coupling of real-time/co-simulation and Hardware-in-the-Loop (HIL) aswell as approaches for setting up the experiment and collaborate with other RIs, projects, andinitiatives.

Transforming an existing energy system to an intelligent system, a so-called smart grid, requires a multidisciplinary approach because of its complexity involving Information and Communications Technology (ICT) integration, amongst others. The technical challenges arise on how to integrate the new technology into the existing system considering the interoperability and performance. This requires new solutions involving testing scenarios, technology development, validation processes, and roll-out procedures. The ERIGrid 2.0 project aims to enhance the research infrastructures��� capabilities and supports the research and technology development towards smart energy systems in Europe. This necessitates system-level testing before further deployment and roll-out. New innovative testing scenarios, Use Case (UC) and Test Case (TC) need to be developed, extended, updated, and shared with researchers and practitioners. This report presents the ���Common Reference Test Case Profiles��� to serve as the reference TCs in the ERIGrid 2.0 project and also facilitates their application for interested external partners. Functional Scenario (FS) are used to define a high-level description of the TC. There are twenty-five TCs developed in the project which are mapped using the six FSs: 1) ancillary services provided by Distributed Energy Resources (DERs) and active grid assets, 2) microgrids and energy community, 3) sector coupling, 4) frequency and voltage stability, 5) aggregation and flexibility management, and 6) digitalisation. These six FSs can cover a significant proportion of relevant aspects of a multi-domain cyber-physical energy system. To facilitate the implementation at Research Infrastructures (RIs), The Holistic Test Description (HTD) approach from the predecessor project ERIGrid is used to formulate the TC, for instance the system description, System under Test (System under Test (SuT)), Object under Investigation (OuI), Domain under Investigation (DuI), Use Case (UC) and Purpose of Investigation (PoI). In addition, each TC is defined with keywords to define the characteristics of the technological area, which is useful for the users to select the specific TC. The keywords are defined corresponding to four relevant dimensions: 1) domain under investigation, 2) the phenomenon under test, 3) type of assessment, and 4) test system/component. Each TC is individually presented as a document with the HTD template. The TCs serves as the reference pool within and beyond ERIGrid 2.0 by providing, for example, identifying key uncertainties for developing various validation approaches, demonstration of the method for the coupling of real-time/co-simulation and Hardware-in-the-Loop (HIL) as well as approaches for setting up the experiment and collaborate with other RIs, projects, and initiatives.

The complexity in smart energy systems is increasing due to the integration of renewable energy resources which also results in a higher complexity in planning and operating the corresponding energy infrastructure. However, solutions and development like intelligent automation, smart control, Industrial Internet of Things (IIoT), etc. provide the technical basis to turn the existing power system into an intelligent entity, a cyber-physical energy system and therefore to cope with the raising complexity. While reaping the benefits with new intelligent behaviours, it is expected that system-level developments (architectural concepts, advanced automation and control, etc.) as well as the validation and testing will play a significantly larger role in realising future solutions and technologies. The implementation and deployment of these systems of systems are associated with increasing engineering complexity resulting also in increased engineering costs. Therefore, this talk tackles this trends and provides an overview about the provision of system-level validation methods and concepts for cyber-physical energy systems.

In a similar way to its predecessor ERIGrid, the fundamental objective of the ERIGrid 2.0 project is to provide on-site and remote lab access to an integrated Research Infrastructure (RI), operated at 21 distributed installations in 13 countries. The ERIGrid 2.0 lab access programme is offered mainly to the European research community where the need of investigating and validating complex smart grids configurations and smart energy systems is essential. The access scheme includes free of charge access to the integrated infrastructure, technological and scientific support and funding to cover travel and accommodation during the on-site stays. This document specifies the general rules and conditions of the ERIGrid 2.0 lab access scheme, describing the eligibility of the User Groups (UGs), access procedure, public calls, proposal evaluation and selection, and hosting of researcher groups at the facilities on offer. For the user projects to be implemented in the lab, a contract must be signed between the user group and the host laboratory before getting access to the infrastructure: a contract model is also included in this report which is to be used as a reference for regulating the implementation of all projects and stays at ERIGrid 2.0 infrastructures. Moreover, this document indicates the mandatory provisions for the dissemination of the results of the implemented user projects. At the difference of ERIGrid, ERIGrid 2.0 widens the scope of accessibility offering the possibility of Virtual Access (VA) to researchers around the world. Eight databases, real-time data or simulation platforms are made available on-line free of charge, without prior submission and evaluation of a project proposal, the signature of a contract or a mandatory reporting of the results.

Überblick über das Thema der intelligenten Energiesystems (Smart Grids), deren Entwicklung und Validierung.

Überblick über das Thema derintelligenten Energiesystems (Smart Grids), deren Entwicklung und Validierung.

Überblick über das Thema derintelligenten Energiesystems (Smart Grids), deren Entwicklung und Validierung.

The integration of renewable energy resources - as key enablers for the reduction of greenhouse gas emissions into the power systems - has increased over the past years and led to higher complexity of electric power systems. The increased availability of advanced automation and communication technology, along with novel intelligent solutions for system operation has transformed the traditional power system into a cyber-physical energy system - a smart grid. In this context research and technology development are important to turn the existing energy infrastructure into a sustainable one. A major role in all these developments are research infrastructures in the domain of power and energy systems. This presentation provides an overview of achievements, experiences and lessons learned from European smart grid and distributed energy resources research infrastructure projects gained over more than a decade so far.

The continuously increasing complexity of modern and sustainable power and energy systems leads to a wide range of solutions developed by industry and academia. To manage such complex system-of-systems, proper engineering and validation approaches, methods, concepts, and corresponding tools are necessary. The Smart Grid Architecture Model (SGAM), an approach that has been developed during the last couple of years, provides a very good and structured basis for the design, development, and validation of new solutions and technologies. This review therefore provides a comprehensive overview of the state-of-the-art and related work for the theory, distribution, and use of the aforementioned architectural concept. The article itself provides an overview of the overall method and introduces the theoretical fundamentals behind this approach. Its usage is demonstrated in several European and national research and development projects. Finally, an outlook about future trends, potential adaptations, and extensions is provided as well.

The integration of renewable energy resources - as key enablersforthereductionof greenhouse gas emissions into the power systems -has increased over the pastyears and led to higher complexity of electric power systems. The increased availabilityof advanced automation and communication technology, along with novel intelligentsolutions for system operation has transformed the traditional power system into acyber-physical energy system - a smart grid. In this context research and technology development are important to turn the existing energy infrastructure into a sustainable one. A major rolein all these developments are research infrastructures in the domain of power and energy systems. This presentation provides an overview of achievements, experiences and lessons learned from European smart grid and distributed energy resources research infrastructure projectsgained over more than a decade so far.&nbsp

The integration of renewable energy resources - as key enablers for the reduction of greenhouse gas emissions into the power systems - has increased over the past years and led to higher complexity of electric power systems. The increased availability of advanced automation and communication technology, along with novel intelligent solutions for system operation has transformed the traditional power system into a cyber-physical energy system - a smart grid. Research activities so far have mainly focused on validating certain aspects of the smart grid. However, a holistic and integrated approach for analysing and evaluating such complex system has not been developed yet. The ERIGrid project aimed to support the technology development and rollout of smart grid approaches, solutions and concepts in Europe by addressing the aspect of system validation for smart grids and developing common methods, concepts and procedures by integrating eighteen European research centres and institutions with outstanding research infrastructures. We are proud to present hereafter an executive summary of the main developments, achievements, and results of the project.

The increased availability of advanced automation and communication technology, along with novel intelligent solutions for system operation has transformed the traditional power system into a cyber-physical energy system – a smart grid. In this context research and technology development are important to turn the existing energy infrastructure into a sustainable one. A major role in all these developments are research infrastructures in the domain of power and energy systems. This presentation provides an overview of achievements, experiences and lessons learned from European smart grid and distributed energy resources research infrastructure projects gained over more than a decade so far.

The increased availability of advanced automation andcommunication technology, along with novel intelligent solutions for systemoperation has transformed the traditional power system into a cyber-physicalenergy system – a smart grid. In this context research and technologydevelopment are important to turn the existing energy infrastructure into asustainable one. A major role in all these developments are researchinfrastructures in the domain of power and energy systems. This presentationprovides an overview of achievements, experiences and lessons learned fromEuropean smart grid and distributed energy resources research infrastructure projects gained over more than a decade so far.

This deliverable describes the work conducted in ERIGrid 2.0 task NA4.1 ’Definition of Functional Scenarios’. The work has been conducted via a survey and a brainstorming workshop. The results are six Functional Scenarios: Ancillary services provided by Distributed Energy Resources (DERs) and active grid assets, Microgrids & energy communities, Sector coupling, Frequency and voltage stability in inverter dominated power systems, Aggregation and flexibility management, and Digitalisation, which describe the overarching topics within ERIGrid 2.0. The Functional Scenarios will be used as an input in further ERIGrid 2.0 work. Smart grid and smart energy systems solutions have become complex and multidisciplinary. With the further integration of Information and Communication Technology (ICT) and other energy systems new testing scenarios, profiles, and processes must be defined. In order to achieve this, big trends affecting research, testing, and validation processes have been reviewed, with a special focus on new aspects such as interoperability testing or digitalisation. The scenario descriptions define requirements, actors, etc. on a functional level. ERIGrid 2.0 work package NA4 ’Iterative Creation of Scenarios and Test Case Profiles’ addresses these needs. This work has been conducted with emphasis on the alignment with the European Green Deal, further support on the technology validation and roll-out phases, and further integration of the research infrastructures. A Functional Scenario has been defined as an umbrella term comprising of motivation and relevance for ERIGrid 2.0, system descriptions, use case and test case descriptions, and experimental setup descriptions. Each scenario has a single core idea and is formed on the basis of inclusiveness. Functional Scenarios consider several high-level scenarios in other projects and networks as a background forming the overall circumstances in which the Functional Scenario is considered. The high-level scenarios provide a holistic understanding of the current status and development while also highlighting future visions and requirements impacting the Functional Scenarios. The high-level scenarios also address the high-level drivers for the Functional Scenarios, such as needs for digitalisation of the smart energy systems. Furthermore, Functional Scenarios are related to the generic system configurations developed in ERIGrid and consider the work conducted in ERIGrid as a strong background for ERIGrid 2.0. The necessity for a mutual understanding of scenarios which are of interest to the ERIGrid 2.0 partners and their research infrastructures and in alignment of the project objectives, led to conducting a survey regarding the first actions of the NA4.1 work. The purpose of this survey was to gather inputs on a set of Functional Scenarios that were analysed in more detail to deduce the most relevant approaches for ERIGrid 2.0. Overall, 15 partners participated in the survey and submitted 35 scenarios. The survey results include scenarios on sector coupling, multi-energy systems, ICT and automation, energy communities, microgrids and low- inertia grids, and stability, control and grid code challenges. Detailed descriptions of Functional Scenarios submitted to the survey are presented in Appendix A: Functional Scenario Survey Data of this deliverable. The formation of the Functional Scenarios was organised in six working groups, each of which focused on a single Functional Scenario. The decision on the six Functional Scenario was taken during the NA4 regular meetings and the brainstorming workshop itself based on the results of the Functional Scenario survey. The focus of the first working group has been on a component focused scenario developed based on the survey results on DERs and inverters. The resulting Functional Scenario 1 integrates key components, such as DER inverters and controllers with ICT, control and automation architectures to enable new grid services with the development of interfaces between the active components. The second working group has been focused on topics related to microgrids and energy communities forming Functional Scenario 2 to support the local microgrid and energy community development by enabling flexibility services locally with ICT and control including exploitation of grid intelligence. While the third working group has been working on the survey results on sector coupling and multi-energy systems with Functional Scenario 3 anticipating a massive roll-out of power-to-X components in the near future by developing system level understanding of the impacts on the electrical domain. The fourth working group has been focused on grid management and overall the perspectives of Distribution System Operators (DSOs) and Transmission System Operators (TSOs) resulting in Functional Scenario 4 assuring frequency and voltage stability in low inertia systems through capabilities of Renewable Energy Sources (RES), Distributed Generation (DG), controllable loads and storage systems as well as ICT and control systems. The fifth working group has been based on the survey results comprising of aggregation, flexibility, market and reserve topics and defined Functional Scenario 5 to focus on communication functionality for aggregation, service matching, fail-over, configuration, and interoperability addressing scale-related properties of aggregation and control solutions. Lastly, the sixth working group has been focused on digitalisation including wide range of topics such as ICT infrastructure, communication, automation, control and monitoring. Functional Scenario 6 explores the impact of ICT solutions on the physical (electrical power) system covering new applications of data and data processing as well as new paths for exchanging data. The Functional Scenario templates used during the brainstorming workshop have been included in the Appendix B: Functional Scenario Templates. The work started in NA4.1 will continue in NA4.2 and NA4.4 with discussions on more detailed definitions of the test cases which will initially provide the inputs for other project activities. The discourse on the Functional Scenarios is also assumed to support ERIGrid 2.0 physical lab and virtual access work and decision-making beyond ERIGrid 2.0.

The secure operation of future power systems will rely on better coordination between transmission system and distribution system operators. Increasing integration of renewables throughout the whole system is challenging the traditional operation. To tackle this problem, the SmartNet project proposes and evaluates five different coordination schemes between system operators using three benchmark scenarios from Denmark, Italy, and Spain. In the project, field tests in each of the benchmark countries are complemented with a number of laboratory validation tests, to cover scenarios that cannot be tested in field trials. This paper presents the outcome of these laboratory tests. Three tests are shown, focusing on controller validation, analysis of communication impacts, and how well price-based controls can integrate with the SmartNet coordination schemes. The results demonstrate important indications for the field tests and also show some of the limitations with the current implementations of the coordinations schemes.

Brief overview of the ERIGrid validation and testing services in context of smart inverters during the DERlab Side Event "Grid control for inverter dominated power Systems" at the 8th International Conference on Integration of Renewable and Distributed Energy Resources (IRED), Vienna, Austria.

The complexity in smart energy systems is increasing due to the integration of renewable energy resources which also results in ahigher complexity in planning and operating the corresponding energy infrastructure. However, solutions and development like intelligent automation, smart control, Industrial Internet of Things (IIoT), etc. provide the technical basis to turn the existing power system into an intelligent entity, a cyber-physical energy system and therefore to cope with the raising complexity. While reaping the benefits with new intelligent behaviours, it is expected that system-level developments (architectural concepts, advanced automation and control, etc.) as well as the validation and testing will play a significantly larger role in realising future solutions and technologies. The implementation and deployment of these systems of systems are associated with increasing engineering complexity resulting also in increased engineering costs. Therefore, this talk tackles this trends and provides an overview about the provision of system-level validation methods and concepts for cyber-physical energy systems.

Round Table II “The way forward: WoC impact on grid evolution”, ELECTRA IRP Final Event, Milan, Italy

Overview of the ERIGrid validation and testing services during the poster session of the 8th International Conference on Integration of Renewable and Distributed Energy Resources (IRED), Vienna, Austria.

The importance of using real-time simulation and hardware-in-the-loop techniques for the domain of power and energy systems is covered by this chapter. A brief overview of the main concepts is provided as well as a method for their integration into a holistic validation framework for testing smart grid systems. Also, corresponding reference implementations are outlined.

Renewables are key enablers in the plight to reduce greenhouse gas emissions and cope with anthropogenic global warming. The intermittent nature and limited storage capabilities of renewables culminate in new challenges that power system operators have to deal with in order to regulate power quality and ensure security of supply. At the same time, the increased availability of advanced automation and communication technologies provides new opportunities for the derivation of intelligent solutions to tackle the challenges. Previous work has shown various new methods of operating highly interconnected power grids, and their corresponding components, in a more effective way. As a consequence of these developments, the traditional power system is being transformed into a cyber-physical energy system, a smart grid. Previous and ongoing research have tended to mainly focus on how specific aspects of smart grids can be validated, but until there exists no integrated approach for the analysis and evaluation of complex cyber-physical systems configurations. This paper introduces integrated research infrastructure that provides methods and tools for validating smart grid systems in a holistic, cyber-physical manner. The corresponding concepts are currently being developed further in the European project ERIGrid., 8th International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2017)