• DE
  • Applications
    • Energy
      • Distributed Artificial Intelligence
      • Data Integration and Processing
      • Energy-efficient Smart Cities
      • Power Systems Intelligence
      • Resilient Monitoring and Control
      • Standardized Systems Engineering and Assessment
      • Smart Grid Testing
    • Society
      • Mixed Reality
      • Human-Centered AI
      • Personal Pervasive Computing
      • Social Computing
    • Health
      • Data Management and Analysis
      • Automation and Integration Technology
      • Assistive Technologies for Care and Health Professionals
      • Biomedical Devices and Systems
    • Manufacturing
      • Smart Human Robot Collaboration
      • Manufacturing Operations Management
      • Distributed Computing and Communication
      • Sustainable Manufacturing Systems
    • Transportation: Info
    • Living Labs
      • Model Factory
      • DAVE
      • LIFE
      • MIRACLE
      • IDEAAL
      • Pflegedienstzentrale
      • SESA
      • Fliegerhorst (Air Base) Smart City
  • Services
    • Contract research
    • Digitalization consulting
    • Technology consulting
    • Technology training
    • Contract development
  • Research
    • Applied Artificial Intelligence (AAI)
      • Adversarial Resilience Learning (E)
    • Architecture Frameworks (AF)
    • Cyber-Resilient Architectures and Security (CRAS)
    • Embedded System Design (ESD)
    • Human Machine Cooperation (HMC)
    • Multi-Scale Multi-Rate Simulation (MS²)
    • Sustainability
    • Safety Relevant Cyber Physical Systems (SRCPS)
  • OFFIS
    • About us
      • Mission statement, values and compliance
      • Organization
      • OFFIS-Memberships
      • Cooperation Partners
      • Society of Friends
      • OFFIS Re:Connect Alumni Network
      • Spin-offs
      • History
      • 3D-Tour
    • Career
      • Vacancies
      • Job opportunities for students
    • News
      • Events
    • Blog
    • Publishing and Tools
      • Roadmaps and Studies
      • Tools and Platforms
      • Datawork | OFFIS Journals
      • Annual Reports
    • Publications
    • Projects
    • Persons
    • Contact
      • Directions
  • General
  • DE
  • Applications
    • Energy
      • Distributed Artificial Intelligence
        • Transparency und acceptance of self-x-systems
        • Models for agent-based flexibility management
        • Open Science – freely available and open source scientific results
      • Data Integration and Processing
      • Energy-efficient Smart Cities
      • Power Systems Intelligence
      • Resilient Monitoring and Control
        • Digital Twins
        • Trust
        • NextGen Grid Control
        • Grid Control Labor
      • Standardized Systems Engineering and Assessment
      • Smart Grid Testing
        • Real-time System
        • Co-Simulation of Multimodal Energy Systems
        • Flexibility Coordination
        • Virtualized Services in Smart Grids
        • Holistic Testing and Validation
        • Research Infrastructure
    • Society
      • Mixed Reality
      • Human-Centered AI
      • Personal Pervasive Computing
      • Social Computing
        • Studies
    • Health
      • Data Management and Analysis
        • Health Services Research
        • Information Logistics
        • Analytical Applications
        • Data Protection & Data Security
      • Automation and Integration Technology
      • Assistive Technologies for Care and Health Professionals
      • Biomedical Devices and Systems
    • Manufacturing
      • Smart Human Robot Collaboration
      • Manufacturing Operations Management
      • Distributed Computing and Communication
      • Sustainable Manufacturing Systems
    • Transportation: Info
    • Living Labs
      • Model Factory
      • DAVE
      • LIFE
      • MIRACLE
      • IDEAAL
      • Pflegedienstzentrale
      • SESA
      • Fliegerhorst (Air Base) Smart City
  • Services
    • Contract research
    • Digitalization consulting
    • Technology consulting
    • Technology training
    • Contract development
  • Research
    • Applied Artificial Intelligence (AAI)
      • Adversarial Resilience Learning (E)
    • Architecture Frameworks (AF)
    • Cyber-Resilient Architectures and Security (CRAS)
    • Embedded System Design (ESD)
    • Human Machine Cooperation (HMC)
    • Multi-Scale Multi-Rate Simulation (MS²)
    • Sustainability
    • Safety Relevant Cyber Physical Systems (SRCPS)
  • OFFIS
    • About us
      • Mission statement, values and compliance
        • Principles and mission statement
        • Diversity and Equality
        • Whistleblower System
      • Organization
        • General Assembly
        • Scientific Advisory Council
        • Administrative Council
      • OFFIS-Memberships
      • Cooperation Partners
      • Society of Friends
      • OFFIS Re:Connect Alumni Network
      • Spin-offs
      • History
      • 3D-Tour
    • Career
      • Vacancies
        • About Applications
      • Job opportunities for students
    • News
      • Events
    • Blog
    • Publishing and Tools
      • Roadmaps and Studies
      • Tools and Platforms
      • Datawork | OFFIS Journals
      • Annual Reports
        • Archive
    • Publications
    • Projects
    • Persons
    • Contact
      • Directions
  1. Home
  2. Applications
  3. Energy
  4. Smart Grid Testing
  5. Research Infrastructure

Research Infrastructure

Automation Laboratory

One challenge of these smart grids is the accelerated rollout of information and communication technology, which dynamically develop and adapt the energy system – but in this application context they have never been tested for their interaction and interdependencies. In addition to this, external cyber-criminal attacks represent a significant risk and are a key issue.

Automation laboratory provides large-scale, real-time simulation, and co-simulation software and hardware coupling to investigating the interdependency impacts between systems. Our automation laboratory provides realistic conditions/environments with industrial components and protocols to facilitate integration of new components into the system; to identify critical situations; and to develop any adaptations that might be required.

The automation laboratory infrastructure comprises of following main features:

  • Real-time and offline simulators for large scale and complex energy systems
  • Co-simulation frameworks - particularly mosaik - for modelling of cyber physical energy system.
  • Digitalized substation automation enhanced by virtualized operational technologies.
  • Smart meter gateway infrastructure for supporting to § 14a
  • Network communication modelling and emulation including, impairment emulation testing
  • Interoperability testing for digitalized energy systems  
  • Holistic testing and validation approaches

Simulation tools and environments

  • mosaik is a flexible smart grid co-simulation framework that enables the reuse and combination of existing models and simulation tools to create, configure, and automate large-scale smart grid scenarios. These scenarios can then be used for the accelerated simulation-based evaluation of different types of control strategies
  • Real-time simulator enables highly detailed and dynamic power grid modeling to be carried out up to 30,000 nodes and support analog inputs and outputs with following communication protocols for hardware and software interfaces: 60870-5-104, IEC 61850 GOOSE and Sample Value, Modbus RTU/TCP, C37.118 for PMU.
  • Network communication simulation and impairment emulation for modelling and studying network behaviour with high levels of detail, accuracy and precision.
  • Offline simulation tools are provided individually or as part of a mosaik-based co-simulation platform such as PowerFactory, OMNET++, pandapower and MATLAB via virtualization servers.
  • IHE Gazelle for interoperability testing

Substation automation components

  • Industrial field devices: Phoenix remote control units, National Instruments NI CompactRIO, Beckhoff PLC systems, KoCoS automation systems
  • Spitzenberger APS 1000 amplifier for controller hardware-in-the-loop (CHIL) tests
  • Virtual or software-based OT (vRTU, vIED, vPMU) for large-scale simulation
  • Industrial SCADA systems from PSI and KISTERS
  • Smart Meter Gateways and Control Boxes
  • Industrial Raspberry pi for lightweight experiment

 

AMORA Interoperability Testing

The transition to digitalized energy systems has accelerated the IT/OT convergence, presenting both opportunities and challenges. This integration, which merges traditionally distinct systems into a unified operational environment, necessitates the development for seamless integration and enhanced security. The advancements in IT/OT convergence highlight the imperative need for interoperable, reliable, and secure systems of digitalized energy system.

To address these challenges, the AMORA Interoperability Testing Platform was developed as part of the IDUNN project in 2024. AMORA is based on the open-source IHE Gazelle platform from the healthcare domain which has been ramped up to meet the specific needs of the energy domain. It serves as a pre-deployment tool, providing a robust interoperability testing environment to validate system interfaces and ensure compliance with established profiles.  AMORA can validate the baseline functionality of intended system behaviors and also simulates misuse cases to analyze unintended behaviors. This dual approach facilitates the identification of potential vulnerabilities and the development of appropriate mitigation strategies, which enhancing the reliability, security, and robustness of digitalized energy systems.

Key Features of AMORA includes:

  • Baseline Testing and Hardening – facilitate interoperability testing for baseline use case validation and mis use cases
  • Support for Deployed Environments - capable of running in already-deployed systems to ensure continued interoperability and security.
  • Detection of Uncommon Issues - identifies uncommon issues that may be overlooked by standard testing tools.
  • Custom Mitigation Strategies - offers individualized mitigation measures, including integration with frameworks like MITRE and Indicators of Compromise (IOC).
  • API - Provides advanced API enhancements for greater operational flexibility and integration
  • Automated Information Extraction - features API capabilities for seamless extraction and analysis of system information.
  • Containerization for Flexibility - enables easy deployment across different use cases and domains through containerized solutions.
  • Cross-Domain Adaptability - facilitates integration into additional use cases and domains, ensuring broad applicability.

AMORA provides an essential foundation for practical interoperability testing knowledge and tool to student, researcher, practitioners and interested user, paving the way for more interoperable, reliable, and secure of a highly automated and digitalized energy system.

 

Flagship Projects

IDUNN project

Our research group developed AMORA interoperability testing platform in IDUNN project. AMORA is based on the IHE Gazelle framework, serve as a pre-deployment tool for research and industry, enabling interoperability testing and validation in energy system. It validates baselines with enhanced API and Schematron capabilities, incorporating features such as Software Bill of Materials (SBOM), communication protocols, security assessments, and indicators of compromise.

Transnational Access

OFFIS Energy Labs provide transnational access in education and research, supported by project funding such as the ERIGrid 2 and RISEnergy projects. Our research group actively facilitates transnation access to our research infrastructure for students, researchers, and practitioners, for their researches in smart energy systems. We specialize in ICT-based solutions, with a focus on real-time communication systems, co-simulation, hardware-in-the-loop testing, virtualized services, and interoperability testing.

Further details on transnational access to our laboratory through the RISEnergy project: https://risenergy-project.eu/ta-access/

Contact

  • Dr.-Ing. Jirapa Kamsamrong
  • Carsten Krüger
  • Distributed Artificial Intelligence
  • Data Integration and Processing
  • Energy-efficient Smart Cities
  • Power Systems Intelligence
  • Resilient Monitoring and Control
  • Standardized Systems Engineering and Assessment
  • Smart Grid Testing
    • Real-time System
    • Co-Simulation of Multimodal Energy Systems
    • Flexibility Coordination
    • Virtualized Services in Smart Grids
    • Holistic Testing and Validation
    • Research Infrastructure

Persons

S

Jan Sören Schwarz

E-Mail: schwarz(at)offis.de, Phone: +49 441 9722-734, Room: O47

Eike Schulte

E-Mail: eike.schulte(at)offis.de, Phone: +49 441 9722-546, Room: Flx-E

Malte Stomberg

E-Mail: malte.stomberg(at)offis.de, Phone: +49 441 9722-334

O

Annika Ofenloch

E-Mail: annika.ofenloch(at)offis.de

Marcel Otte

E-Mail: marcel.otte(at)offis.de, Phone: +49 441 9722-749, Room: Flx-E

K

Carsten Krüger

E-Mail: carsten.krueger(at)offis.de, Phone: +49 441 9722-733, Room: Flx-E

Dr.-Ing. Jirapa Kamsamrong

E-Mail: jirapa.kamsamrong(at)offis.de, Phone: +49 441 9722-233, Room: E85

A

Sharaf Aldin Alsharif

E-Mail: sharaf.aldin.alsharif(at)offis.de, Phone: +49 441 9722-748, Room: Flx-E

Mohammad Arhum

E-Mail: mohammad.arhum(at)offis.de, Phone: +49 441 9722-458

Projects

G

GIZ WB

Green Agenda - Decarbonization of the Electricity Sector in the Western Balkans

Duration: 2024 - 2025

I

InterOP

Interoperability test platform for components of the energy transition

Duration: 2024 - 2027

ISGAN

International Smart Grids Action Network

Duration: 2025 - 2027

R

RD3.0

Redispatch 3.0

Duration: 2022 - 2025

ReCoDE

Reference Platform Co-Simulation of Digitalised Energy Systems

Duration: 2023 - 2026

RISEnergy

Research Infrastructure Services for Renewable Energy

Duration: 2024 - 2028

Publications

2025

Load-shifting for cost, carbon, and grid benefits: A model-driven adaptive survey with German and Swiss households

Matteo Barsanti and Jan Sören Schwarz and Faten Ghali and Selin Yilmaz and Sebastian Lehnhoff and Claudia R. Binder; Energy Research & Social Science; 01 / 2025

URL DOI BIB
Towards an Ontology for Co-Simulation Scenarios of Energy Systems

Schwarz, J. S., Steinert, A., Fuentes Grau, L., Pan, Z., Schmurr, P., Liu, N., Seiwerth, C., Qussous, R., German, R., Hagenmeyer, V., Lehnhoff, S., Monti, A., Nieße, A., & Weidlich, A.; 2. NFDI4Energy Conference; 03 / 2025

URL DOI BIB

2024

How can Aggregators Improve the TSO-DSO-Customer Coordination in Digitalised Power Systems?

Otte, Marcel and Kamsamrong, Jirapa and Lehnhoff, Sebastian; ISGAN 2024; July / 2024

URL BIB
A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests

Schwarz, Jan Sören and Perez, Leonard Enrique Ramos and Pham, Minh Cong and Heussen, Kai and Tran, Quoc Tuan; 2024 Open Source Modelling and Simulation of Energy Systems (OSMSES); 09 / 2024

URL DOI BIB
Challenges in Transitioning from Co-simulation to Practical Application: A Case Study on Economic Emission Dispatch in a Greenhouse Compartment

Clausen, Christian Skafte Beck and Lehnhoff, Sebastian and Schwarz, Jan Sören and Jørgensen, Bo Nørregaard and Ma, Zheng Grace; Energy Informatics; 2024

URL DOI BIB
Enhancing Smart Grid Resilience: An Educational Approach to Smart Grid Cybersecurity Skill Gap Mitigation

Pirta-Dreimane, Rūta, Andrejs Romanovs, Jana Bikovska, Jānis Pekša, Tero Vartiainen, Maria Valliou, Jirapa Kamsamrong, and Bahaa Eltahawy; Energies; April / 2024

URL DOI BIB
Hardware-in-The-Loop-Based Validation of Distribution System Control Applications with Grid Operators, Customer and Market Participants

Otte, Marcel and Krüger, Carsten and Das, Pratyush and Rohjans, Sebastian and Lehnhoff, Sebastian; Energy Informatics Academy Conference; October / 2024

URL BIB
Poster Abstract: Coordinating the Heterogeneity of Aggregators in Digitalised Power Systems

Otte, Marcel; DACH+ Conference on Energy Informatics 2024; October / 2024

URL BIB
Poster Abstract: Hardware-in-the-Loop Simulation Environment for Validating Distribution System Control Applications

Otte, Marcel and Krüger, Carsten and Das, Pratyush and Rohjans, Sebastian and Lehnhoff, Sebastian; DACH+ Conference on Energy Informatics 2024; October / 2024

URL BIB
Scaling Analysis in a Multi-Energy System

Schwarz, Jan Soeren and Pham, Minh Cong and Tran, Quoc Tuan and Heussen, Kai; 2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM); 01 / 2024

URL DOI BIB
EN: Alle Publikationen aus dem Bereich Research Infrastructure
PrivacyData TransparencyContactLegals