Visible to the public BiblioConflict Detection Enabled

Filters: Author is Cornelius Steinbrink  [Clear All Filters]
2021-12-21
Himanshu Neema, Janos Sztipanovits, Cornelius Steinbrink, Thomas Raub, Bastian Cornelsen, Sebastian Lehnhoff.  2019.  Simulation integration platforms for cyber-physical systems. DESTION 2019. :10-19.

Simulation-based analysis is essential in the model-based design process of Cyber-Physical Systems (CPS). Since heterogeneity is inherent to CPS, virtual prototyping of CPS designs and the simulation of their behavior in various environments typically involve a number of physical and computation/ communication domains interacting with each other. Affordability of the model-based design process makes the use of existing domain-specific modeling and simulation tools all but mandatory. However, this pressure establishes the requirement for integrating the domain-specific models and simulators into a semantically consistent and efficient system-of-system simulation. The focus of the paper is the interoperability of popular integration platforms supporting heterogeneous multi-model simulations. We examine the relationship among three existing platforms: the High-Level Architecture (HLA)-based CPS Wind Tunnel (CPSWT), MOSAIK, and the Functional Mockup Unit (FMU). We discuss approaches to establish interoperability and present results of ongoing work in the context of an example.

2020-10-01
Jan Sören Schwarz, Cornelius Steinbrink, Sebastian Lehnhoff.  2019.  Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems. 2019 7th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES).

Increasing complexity in the power system and the transformation towards a smart grid lead to the necessity of new tools and methods for the development and testing of new technologies. One testing method is co-simulation, which allows coupling simulation components from different domains to test their interaction. Because the manual configuration of complex large-scale co-simulation scenarios can be error-prone, we propose an approach for assisting the user in the development of co-simulation scenarios. Our approach uses an information model, a component catalog implemented in a Semantic Media Wiki, and Semantic Web technologies to assist the high-level modeling of co-simulation scenarios, recommend suitable simulation components, and validate co-simulation scenarios. This assistance aims to improve the usability of co-simulation in the development of interdisciplinary, large-scale scenarios.

2019-08-21
Himanshu Neema, Janos Sztipanovits, Cornelius Steinbrink, Thomas Raub, Bastian Cornelsen, Sebastian Lehnhoff.  2019.  Simulation Integration Platforms for Cyber-physical Systems. Workshop on Design Automation for Cyber-Physical Systems and Internet-of-Things. :10–19.

Simulation-based analysis is essential in the model-based design process of Cyber-Physical Systems (CPS). Since heterogeneity is inherent to CPS, virtual prototyping of CPS designs and the simulation of their behavior in various environments typically involve a number of physical and computation/communication domains interacting with each other. Affordability of the model-based design process makes the use of existing domain-specific modeling and simulation tools all but mandatory. However, this pressure establishes the requirement for integrating the domain-specific models and simulators into a semantically consistent and efficient system-of-system simulation. The focus of the paper is the interoperability of popular integration platforms supporting heterogeneous multi-model simulations. We examine the relationship among three existing platforms: the High-Level Architecture (HLA)-based CPS Wind Tunnel (CPSWT), MOSAIK, and the Functional Mockup Unit (FMU). We discuss approaches to establish interoperability and present results of ongoing work in the context of an example.

2018-09-30
Panos Kotsampopoulos, Nikos Hatziargyriou, Thomas Strasser, Cyndi Moyo, Sebastian Rohjans, Cornelius Steinbrink, Sebastian Lehnhoff, Peter Palensky, Arjen van der Meer, D. E. Morales Bondy.  2017.  Validating Intelligent Power and Energy Systems–A Discussion of Educational Needs. International Conference on Industrial Applications of Holonic and Multi-Agent Systems. :200–212.

Traditional power systems education and training is flanked by the demand for coping with the rising complexity of energy systems, like the integration of renewable and distributed generation, communication, control and information technology. A broad understanding of these topics by the current/future researchers and engineers is becoming more and more necessary. This paper identifies educational and training needs addressing the higher complexity of intelligent energy systems. Education needs and requirements are discussed, such as the development of systems-oriented skills and cross-disciplinary learning. Education and training possibilities and necessary tools are described focusing on classroom but also on laboratory-based learning methods. In this context, experiences of using notebooks, co-simulation approaches, hardware-in-the-loop methods and remote labs experiments are discussed.

Cornelius Steinbrink, Christian Köhler, Marius Siemonsmeier, Thorsten van Ellen.  2018.  Lessons Learned from CPES Co-Simulation with Distributed, Heterogeneous Systems. Energy Informatics.

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.

Accepted
Cornelius Steinbrink, Florian Schlögl, Davood Babazadeh, Sebastian Lehnhoff, Sebastian Rohjans, Anand Narayan.  2018.  Future perspectives of co-simulation in the smart grid domain. 2018 IEEE International Energy Conference (ENERGYCON). :1–6.

The recent attention towards research and development in cyber-physical energy systems has introduced the necessity of emerging multi-domain co-simulation tools. Different educational, research and industrial efforts have been set to tackle the co-simulation topic from several perspectives. The majority of previous works has addressed the standardization of models and interfaces for data exchange, automation of simulation, as well as improving performance and accuracy of co-simulation setups. Furthermore, the domains of interest so far have involved communication, control, markets and the environment in addition to physical energy systems. However, the current characteristics and state of co-simulation testbeds need to be re-evaluated for future research demands. These demands vary from new domains of interest, such as human and social behavior models, to new applications of co-simulation, such as holistic prognosis and system planning. This paper aims to formulate these research demands that can then be used as a road map and guideline for future development of co-simulation in cyber-physical energy systems.

Arjen van der Meer, Cornelius Steinbrink, Kai Heussen, Daniel E. Morales Bondy, Merkebu Z. Degefa, Filip Pröstl Andrén, Thomas Strasser, Sebastian Lehnhoff, Peter Palensky.  2018.  Design of experiments aided holistic testing of cyber-physical energy systems. 2018 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES). :1–7.

The complex and often safety-critical nature of cyber-physical energy systems makes validation a key challenge in facilitating the energy transition, especially when it comes to the testing on system level. Reliable and reproducible validation experiments can be guided by the concept of design of experiments, which is, however, so far not fully adopted by researchers. This paper suggests a structured guideline for design of experiments application within the holistic testing procedure suggested by the European ERIGrid project. In this paper, a general workflow as well as a practical example are provided with the aim to give domain experts a basic understanding of design of experiments compliant testing.

Cornelius Steinbrink, Arjen van der Meer, Milos Cvetkovic, Davood Babazadeh, Sebastian Rohjans, Peter Palensky, Sebastian Lehnhoff.  2018.  Smart grid co-simulation with MOSAIK and HLA: a comparison study. Computer Science-Research and Development. 33:135–143.

Evaluating new technological developments for energy systems is becoming more and more complex. The overall application environment is a continuously growing and interconnected cyber-physical system so that analytical assessment is practically impossible to realize. Consequently, new solutions must be evaluated in simulation studies. Due to the interdisciplinarity of the simulation scenarios, various heterogeneous tools must be connected. This approach is known as co-simulation. During the last years, different approaches have been developed or adapted for applications in energy systems. In this paper, two co-simulation approaches are compared that follow generic, versatile concepts. The tool MOSAIK, which has been explicitly developed for the purpose of co-simulation in complex energy systems, is compared to the High Level Architecture (HLA), which possesses a domain-independent scope but is often employed in the energy domain. The comparison is twofold, considering the tools’ conceptual architectures as well as results from the simulation of representative test cases. It suggests that MOSAIK may be the better choice for entry-level, prototypical co-simulation while HLA is more suited for complex and extensive studies.

Cornelius Steinbrink, Sebastian Lehnhoff, Sebastian Rohjans, Thomas Strasser, Edmund Widl, Cyndi Moyo, Georg Lauss, Felix Lehfuss, Mario Faschang, Peter Palensky et al..  2017.  Simulation-Based Validation of Smart Grids–Status Quo and Future Research Trends. International Conference on Industrial Applications of Holonic and Multi-Agent Systems. :171–185.

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.