CYSYSYOct 6, 2017

Validating Intelligent Power and Energy Systems - A Discussion of Educational Needs

arXiv:1710.041318 citationsh-index: 80
AI Analysis

For educators and curriculum developers in power systems, this paper identifies gaps and suggests educational approaches, but it is a discussion piece without empirical results.

This paper discusses educational needs for training engineers and researchers to handle the increasing complexity of intelligent power and energy systems, highlighting the importance of systems-oriented skills and cross-disciplinary learning, and reviews tools like notebooks, co-simulation, hardware-in-the-loop, and remote labs.

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.

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