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

  • P. Kotsampopoulos
  • N. Hatziargyriou
  • T. I. Strasser
  • C. Moyo
  • S. Rohjans
  • C. Steinbrink
  • S. Lehnhoff
  • P. Palensky
  • A. A. van der Meer
  • D. E. Morales Bondy
  • K. Heussen
  • M. Calin
  • A. Khavari
  • M. Sosnina
  • J. E. Rodriguez
  • G. M. Burt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10444)

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.

Keywords

Cyber-Physical Energy Systems Education Learning Smart grids Training Validation 

Notes

Acknowledgments

This work is supported by the European Communitys Horizon 2020 Program (H2020/2014–2020) under project “ERIGrid” (Grant Agreement No. 654113).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • P. Kotsampopoulos
    • 1
  • N. Hatziargyriou
    • 1
  • T. I. Strasser
    • 2
  • C. Moyo
    • 2
  • S. Rohjans
    • 3
  • C. Steinbrink
    • 4
  • S. Lehnhoff
    • 4
  • P. Palensky
    • 5
  • A. A. van der Meer
    • 5
  • D. E. Morales Bondy
    • 6
  • K. Heussen
    • 6
  • M. Calin
    • 7
  • A. Khavari
    • 7
  • M. Sosnina
    • 7
  • J. E. Rodriguez
    • 8
  • G. M. Burt
    • 9
  1. 1.National Technical University of AthensAthensGreece
  2. 2.AIT Austrian Institute of TechnologyViennaAustria
  3. 3.HAW Hamburg University of Applied SciencesHamburgGermany
  4. 4.OFFIS e.VOldenburgGermany
  5. 5.Delft University of TechnologyDelftThe Netherlands
  6. 6.Technical University of DenmarkLyngbyDenmark
  7. 7.European Distributed Energy Resources Laboratories (DERlab) e.VKasselGermany
  8. 8.TECNALIA Research and InnovationBilbaoSpain
  9. 9.University of StrathclydeGlasgowUK

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