5 research outputs found
Validating Intelligent Power and Energy Systems { A Discussion of Educational Needs
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.Comment: 8th International Conference on Industrial Applications of Holonic
and Multi-Agent Systems (HoloMAS 2017
Simulation Based Assessment Methods
This chapter provides a brief overview of modelling and simulation approaches for smart grid systems. A special focus is put onto the coupling of simulation environments; i.e., the co-simulation of power systems and its components. Furthermore, selected implementations of standardized interfaces for domain simulators covering the domains of power systems and ICT are presented