In the energy sector, a profound paradigm shift has begun, primarily driven by the extensive integration of distributed energy resources, the liberalization of energy markets, and the changing roles of actors, such as consumers to prosumers. To continue monitoring and controlling energy systems, they are increasingly permeated by information and communication technologies (ICT) and automation technologies. However, these technologies also increase the system's complexity and makes it more vulnerable to cyberattacks.
The resilient operation of such a transforming, decentralized, and dynamic energy system heavily depends on accurately and in real-time representing the system to anticipate events as early as possible and exploit available flexibilities. Such a digital representation, also known as a digital twin, is based on data collected using information and communication technologies (ICT).
A key challenge is to derive a meaningful understanding of the collected data, such as in the form of models or event identification, so that it can be used for anticipating and ensuring the resilient operation of the system. Following this vision, the key topics of the "Resilient Monitoring and Control" (ROC) group are:
The research in these key topics aims at a new, innovative system architecture to monitor and control complex cyber-physical systems in a resilient manner. Established standards from the domain, such as the common information model (CIM), are combined with established standards from other domains, such as MQTT, and new concepts, such as trust assessment and hierarchically nested digital twins, into a modular, highly flexible, and resilient system.
A digital twin is a dynamic virtual copy of a real existing system. They are versatile and enable more effective development, analysis, or management of the represented system, depending on the application. Originally stemming from product lifecycle management, digital twins are also unlocking various new applications in the energy sector. Learn more…
Trust is a subjective, context-dependent, and multivariate sense about an entity with respect to various aspects. It enables more comprehensive monitoring of components, data, and services. This provides new opportunities for capturing complex events and, consequently, for decision-making. Learn more…
Increasing volatility and complexity in energy systems require new concepts and system architectures to efficiently monitor and control energy systems. NextGen Grid Control represents an open, future-oriented, flexible, and real-time capable platform for this purpose. Learn more…
Rising complexity in multimodal decentralized energy systems demands new and adaptive concepts for monitoring and control. The Grid Control Lab provides a research and development platform for designing and testing new systems for forward-looking operation of energy systems. Learn more…
Michael Brand, Anand Narayan, Sebastian Lehnhoff; April / 2024
Anand Narayan, Michael Brand, Nils Huxoll, Batoul Hage Hassan, Sebastian Lehnhoff ; March / 2024
AMIT KUMAR SINGH, JELKE WIBBEKE, AMIN RAEISZADEH, NILS HUXOLL, MICHAEL BRAND; DACH+ Conference on Energy Informatics 2024; October / 2024
Anand Narayan; July / 2024
Michael Brand; December / 2023
Brand, Michael and Engel, Dominik and Lehnhoff, Sebastian; Energy Informatics; 2023
Payam Teimourzadeh Baboli, Amin Raeiszadeh, Michael Brand, and Sebastian Lehnhoff; DACH+ Conference on Energy Informatics, Vienna, Austria; 2023
Klaes, Marcel and Zwartscholten, Jannik and Narayan, Anand and Lehnhoff, Sebastian and Rehtanz, Christian; IEEE Access; 2023
Hage Hassan, Batoul and Brand, Michael and Lehnhoff, Sebastian; Abstracts of the 12th DACH+ Conference on Energy Informatics; 2023
Narayan, Anand and Brand, Michael and Lehnhoff, Sebastian; Energy Informatics; October / 2023