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Smart energy solutions aim to modify and optimise the operation of existing energy infrastructure. Such cyber-physical technology must be mature before deployment to the actual infrastructure, and competitive solutions will have to be compliant to standards still under development. Achieving this technology readiness and harmonisation requires reproducible experiments and appropriately realistic testing environments. Such testbeds for multi-domain cyber-physical experiments are complex in and of themselves. This work addresses a method for the scoping and design of experiments where both testbed and solution each require detailed expertise. This empirical work first revisited present test description approaches, developed a newdescription method for cyber-physical energy systems testing, and matured it by means of user involvement. The new Holistic Test Description (HTD) method facilitates the conception, deconstruction and reproduction of complex experimental designs in the domains of cyber-physical energy systems. This work develops the background and motivation, offers a guideline and examples to the proposed approach, and summarises experience from three years of its application.
Kai Heussen; Cornelius Steinbrink; Ibrahim F. Abdulhadi; Van Hoa Nguyen; Merkebu Z. Degefa; Julia Merino; Tue V. Jensen; Hao Guo; Oliver Gehrke; Daniel Esteban Morales Bondy; Davood Babazadeh; Filip Pröstl Andrén; Thomas I. Strasser. ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems. Energies 2019, 12, 2722 .
AMA StyleKai Heussen, Cornelius Steinbrink, Ibrahim F. Abdulhadi, Van Hoa Nguyen, Merkebu Z. Degefa, Julia Merino, Tue V. Jensen, Hao Guo, Oliver Gehrke, Daniel Esteban Morales Bondy, Davood Babazadeh, Filip Pröstl Andrén, Thomas I. Strasser. ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems. Energies. 2019; 12 (14):2722.
Chicago/Turabian StyleKai Heussen; Cornelius Steinbrink; Ibrahim F. Abdulhadi; Van Hoa Nguyen; Merkebu Z. Degefa; Julia Merino; Tue V. Jensen; Hao Guo; Oliver Gehrke; Daniel Esteban Morales Bondy; Davood Babazadeh; Filip Pröstl Andrén; Thomas I. Strasser. 2019. "ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems." Energies 12, no. 14: 2722.
The complex nature of cyber-physical energy systems (CPES) makes systematic testing of new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows consideration of interdisciplinary dynamic interactions. However, basic coupling of simulation models alone fails to account for many of the challenges of simulation-based multi-domain testing such as expert collaboration in test planning. This paper illustrates an extended CPES test environment based on the co-simulation framework mosaik. The environment contains capabilities for simulation planning, uncertainty quantification and the development of multi-agent systems. An application case involving virtual power plant control is used to demonstrate the platform’s features. Future extensibility of the highly modular test environment is outlined.
Cornelius Steinbrink; Marita Blank-Babazadeh; André El-Ama; Stefanie Holly; Bengt Lüers; Marvin Nebel-Wenner; Rebeca Ramirez Acosta; Thomas Raub; Jan Sören Schwarz; Sanja Stark; Astrid Nieße; Sebastian Lehnhoff. CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis. Applied Sciences 2019, 9, 923 .
AMA StyleCornelius Steinbrink, Marita Blank-Babazadeh, André El-Ama, Stefanie Holly, Bengt Lüers, Marvin Nebel-Wenner, Rebeca Ramirez Acosta, Thomas Raub, Jan Sören Schwarz, Sanja Stark, Astrid Nieße, Sebastian Lehnhoff. CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis. Applied Sciences. 2019; 9 (5):923.
Chicago/Turabian StyleCornelius Steinbrink; Marita Blank-Babazadeh; André El-Ama; Stefanie Holly; Bengt Lüers; Marvin Nebel-Wenner; Rebeca Ramirez Acosta; Thomas Raub; Jan Sören Schwarz; Sanja Stark; Astrid Nieße; Sebastian Lehnhoff. 2019. "CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis." Applied Sciences 9, no. 5: 923.
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.
Mathias Uslar; Sebastian Rohjans; Christian Neureiter; Filip Pröstl Andrén; Jorge Velasquez; Cornelius Steinbrink; Venizelos Efthymiou; Gianluigi Migliavacca; Seppo Horsmanheimo; Helfried Brunner; Thomas I. Strasser. Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective. Energies 2019, 12, 258 .
AMA StyleMathias Uslar, Sebastian Rohjans, Christian Neureiter, Filip Pröstl Andrén, Jorge Velasquez, Cornelius Steinbrink, Venizelos Efthymiou, Gianluigi Migliavacca, Seppo Horsmanheimo, Helfried Brunner, Thomas I. Strasser. Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective. Energies. 2019; 12 (2):258.
Chicago/Turabian StyleMathias Uslar; Sebastian Rohjans; Christian Neureiter; Filip Pröstl Andrén; Jorge Velasquez; Cornelius Steinbrink; Venizelos Efthymiou; Gianluigi Migliavacca; Seppo Horsmanheimo; Helfried Brunner; Thomas I. Strasser. 2019. "Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective." Energies 12, no. 2: 258.
The increasing integration of distributed renewable energy resources into the power grid calls for employment of information and communication technology, transforming the grid into a cyber-physical energy system with new options for stable and optimized control. In order to evaluate and validate new control technologies, test systems are necessary. When the future extensibility of an approach is to be tested, laboratory and field tests reach their limits. Instead, simulation-based testing is required, like co-simulation, which allows the reuse of pre-existing simulation components. However, some co-simulation approaches designed for generic applicability tend to ignore certain setup characteristics like the need for remote coupling or exchange of complex data. This paper presents a co-simulation case study with distributed, heterogeneous simulation components. Challenges are discussed and it is shown how the framework MOSAIK helps to bridge the gap between special interfacing requirements and high system usability.
Cornelius Steinbrink; Christian Köhler; Marius Siemonsmeier; Thorsten Van Ellen. Lessons learned from CPES co-simulation with distributed, heterogeneous systems. Energy Informatics 2018, 1, 38 .
AMA StyleCornelius Steinbrink, Christian Köhler, Marius Siemonsmeier, Thorsten Van Ellen. Lessons learned from CPES co-simulation with distributed, heterogeneous systems. Energy Informatics. 2018; 1 (1):38.
Chicago/Turabian StyleCornelius Steinbrink; Christian Köhler; Marius Siemonsmeier; Thorsten Van Ellen. 2018. "Lessons learned from CPES co-simulation with distributed, heterogeneous systems." Energy Informatics 1, no. 1: 38.
Smart grid systems are characterized by high complexity due to interactions between a traditional passive network and active power electronic components, coupled using communication links. Additionally, automation and information technology plays an important role in order to operate and optimize such cyber-physical energy systems with a high(er) penetration of fluctuating renewable generation and controllable loads. As a result of these developments the validation on the system level becomes much more important during the whole engineering and deployment process, today. In earlier development stages and for larger system configurations laboratory-based testing is not always an option. Due to recent developments, simulation-based approaches are now an appropriate tool to support the development, implementation, and roll-out of smart grid solutions. This paper discusses the current state of simulation-based approaches and outlines the necessary future research and development directions in the domain of power and energy systems.
Cornelius Steinbrink; Sebastian Lehnhoff; Sebastian Rohjans; Thomas I. Strasser; Edmund Widl; Cyndi Moyo; Georg Lauss; Felix Lehfuss; Mario Faschang; Peter Palensky; Arjen A. Van Der Meer; Kai Heussen; Oliver Gehrke; Efren Guillo-Sansano; Mazheruddin H. Syed; Abdullah Emhemed; Ron Brandl; Van Hoa Nguyen; Ata Khavari; Quoc Tuan Tran; Panos Kotsampopoulos; Nikos Hatziargyriou; Akroud Akroud; Evangelos Rikos; Merkebu Z. Degefa. Simulation-based Validation of Smart Grids - Status Quo and Future Research Trends. 2017, 1 .
AMA StyleCornelius Steinbrink, Sebastian Lehnhoff, Sebastian Rohjans, Thomas I. Strasser, Edmund Widl, Cyndi Moyo, Georg Lauss, Felix Lehfuss, Mario Faschang, Peter Palensky, Arjen A. Van Der Meer, Kai Heussen, Oliver Gehrke, Efren Guillo-Sansano, Mazheruddin H. Syed, Abdullah Emhemed, Ron Brandl, Van Hoa Nguyen, Ata Khavari, Quoc Tuan Tran, Panos Kotsampopoulos, Nikos Hatziargyriou, Akroud Akroud, Evangelos Rikos, Merkebu Z. Degefa. Simulation-based Validation of Smart Grids - Status Quo and Future Research Trends. . 2017; ():1.
Chicago/Turabian StyleCornelius Steinbrink; Sebastian Lehnhoff; Sebastian Rohjans; Thomas I. Strasser; Edmund Widl; Cyndi Moyo; Georg Lauss; Felix Lehfuss; Mario Faschang; Peter Palensky; Arjen A. Van Der Meer; Kai Heussen; Oliver Gehrke; Efren Guillo-Sansano; Mazheruddin H. Syed; Abdullah Emhemed; Ron Brandl; Van Hoa Nguyen; Ata Khavari; Quoc Tuan Tran; Panos Kotsampopoulos; Nikos Hatziargyriou; Akroud Akroud; Evangelos Rikos; Merkebu Z. Degefa. 2017. "Simulation-based Validation of Smart Grids - Status Quo and Future Research Trends." , no. : 1.
Coupling of independent models in the form of a co-simulation is a rather new approach for design and analysis of Smart Grids. However, uncertainty of model parameters and outputs decreases the significance of simulation results. Therefore, this paper presents an ensemble-based uncertainty quantification system as an extension to the already existing co-simulation framework mosaik.
Cornelius Steinbrink; Sebastian Lehnhoff; Thole Klingenberg. Ensemble-Based Uncertainty Quantification for Smart Grid Co-simulation. Transactions on Petri Nets and Other Models of Concurrency XV 2016, 199 -202.
AMA StyleCornelius Steinbrink, Sebastian Lehnhoff, Thole Klingenberg. Ensemble-Based Uncertainty Quantification for Smart Grid Co-simulation. Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():199-202.
Chicago/Turabian StyleCornelius Steinbrink; Sebastian Lehnhoff; Thole Klingenberg. 2016. "Ensemble-Based Uncertainty Quantification for Smart Grid Co-simulation." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 199-202.