Simulation-based validation of smart grids – Status quo and future research trends
C Steinbrink (OFFIS e.V)
S Lehnhoff (OFFIS e.V)
Sebastian Rohjans (Hamburg University of Applied Sciences)
T. I. Strasser (AIT Austrian Institute of Technology)
Edmund Widl (AIT Austrian Institute of Technology)
Cyndi Moyo (AIT Austrian Institute of Technology)
Georg Lauss (AIT Austrian Institute of Technology)
F. Lehfuss (AIT Austrian Institute of Technology)
M. Faschang (AIT Austrian Institute of Technology)
P. Palensky (TU Delft - Intelligent Electrical Power Grids)
A. A. van der Meer (TU Delft - Intelligent Electrical Power Grids)
K. Heussen (Technical University of Denmark (DTU))
Oliver Gehrke (Technical University of Denmark (DTU))
E. Guillo-Sansano (University of Strathclyde)
M. H. Syed (University of Strathclyde)
A. Emhemed (University of Strathclyde)
R. Brandl (Fraunhofer Institute of Wind Energy and Energy System Technology)
V. H. Nguyen (Université Grenoble Alpes)
A. Khavari (DERlab)
Q. T. Tran (Commissariat à l’énergie atomique et aux énergies alternatives)
Panos Kotsampopoulos (National Technical University of Athens)
Nikos Hatziargyriou (National Technical University of Athens)
N. Akroud (Ormazabal Corporate Technology)
E. Rikos (Centre for Renewable Energy Sources)
M. Z. Degefa (SINTEF Energy Resarch)
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Abstract
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.