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

TL;DR

This paper discusses the growing educational needs for training engineers in complex intelligent power systems, emphasizing cross-disciplinary skills and innovative teaching methods like co-simulation and remote labs.

Contribution

It identifies key educational gaps and proposes new training approaches for preparing engineers to handle advanced energy system complexities.

Findings

Need for systems-oriented skills in energy education

Use of co-simulation and hardware-in-the-loop methods

Importance of laboratory-based learning tools

Abstract

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.