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Simulation-Based Validation of Smart Grids – Status Quo and Future Research Trends

  • C. Steinbrink
  • S. Lehnhoff
  • S. Rohjans
  • T. I. Strasser
  • E. Widl
  • C. Moyo
  • G. Lauss
  • F. Lehfuss
  • M. Faschang
  • P. Palensky
  • A. A. van der Meer
  • K. Heussen
  • O. Gehrke
  • E. Guillo-Sansano
  • M. H. Syed
  • A. Emhemed
  • R. Brandl
  • V. H. Nguyen
  • A. Khavari
  • Q. T. Tran
  • P. Kotsampopoulos
  • N. Hatziargyriou
  • N. Akroud
  • E. Rikos
  • M. Z. Degefa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10444)

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.

Keywords

Co-simulation Cyber-physical energy systems Hardware-in-the-loop Modeling Real-time simulation Smart grids 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

  • C. Steinbrink
    • 1
  • S. Lehnhoff
    • 1
  • S. Rohjans
    • 2
  • T. I. Strasser
    • 3
  • E. Widl
    • 3
  • C. Moyo
    • 3
  • G. Lauss
    • 3
  • F. Lehfuss
    • 3
  • M. Faschang
    • 3
  • P. Palensky
    • 4
  • A. A. van der Meer
    • 4
  • K. Heussen
    • 5
  • O. Gehrke
    • 5
  • E. Guillo-Sansano
    • 6
  • M. H. Syed
    • 6
  • A. Emhemed
    • 6
  • R. Brandl
    • 7
  • V. H. Nguyen
    • 8
  • A. Khavari
    • 9
  • Q. T. Tran
    • 10
  • P. Kotsampopoulos
    • 11
  • N. Hatziargyriou
    • 11
  • N. Akroud
    • 12
  • E. Rikos
    • 13
  • M. Z. Degefa
    • 14
  1. 1.OFFIS e.V.OldenburgGermany
  2. 2.HAW Hamburg University of Applied SciencesHamburgGermany
  3. 3.AIT Austrian Institute of TechnologyViennaAustria
  4. 4.Delft University of TechnologyDelftThe Netherlands
  5. 5.Technical University of DenmarkLyngbyDenmark
  6. 6.University of StrathclydeGlasgowUK
  7. 7.Fraunhofer Institute of Wind Energy and Energy System TechnologyKasselGermany
  8. 8.G2ElabUniversity Grenoble AlpesGrenobleFrance
  9. 9.European Distributed Energy Resources Laboratories (DERlab) e.V.KasselGermany
  10. 10.Commissariat à l’énergie atomique et aux énergies alternativesChamberyFrance
  11. 11.National Technical University of AthensAthensGreece
  12. 12.Ormazabal Corporate TechnologyBilbaoSpain
  13. 13.Centre for Renewable Energy Sources and SavingAthensGreece
  14. 14.SINTEF Energy ResarchTrondheimNorway

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