Simulation Methods and Automation Software Solutions
The team "Simulation Methods & Automation Software Solutions" focuses on the development of a cloud based framework for testing new power system automation systems. This framework consists of modular and reusable building blocks for real-time simulation experiments as well as the integration of automation algorithms and standard data models. In the context of real-time simulation, the team investigates new solver concepts to build a scalable and flexible simulator that bridges the gap between the classical power system modelling domains.
Team Leader: Jan Dinkelbach
Research Projects of the Team
I-NERGY is an H2020 European Project, which aims at delivering an energy-specific open modular framework for supporting AI-on-Demand in the energy sector (AI4 Energy), by capitalising on state-of-the-art AI, as well as IoT, semantics and data analytics technologies. I-NERGY will enable AI-based cross-sector multistakeholder analytic tools for integrated and optimised smart energy management, based on seamless data-information-knowledge exchange under respective sovereignty and regulatory principles. More
The ERA-NET project ANM4L started in December 2019. The project aims at demonstrating how innovative active network management (ANM) solutions can increase the integration of renewable energy sources (RES) in electricity distribution networks. ANM solutions will consider both management of active and reactive power to avoid overload situations, maintain voltages within limits, minimize the need of RES curtailment, and enable further RES uptake even when the theoretical design limit of the network has been reached. More