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Simulation-based validation of smart grids – Status quo and future research trends

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. © Springer International Publishing AG 2017
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Category

Academic article

Language

English

Author(s)

  • Cornelius Steinbrink
  • Sebastian Lehnhoff
  • Sebastian Rohjans
  • Thomas I. Strasser
  • Edmund Widl
  • Cyndi Moyo
  • Georg F. Lauss
  • Felix Lehfuss
  • Mario Faschang
  • Peter P. Palensky
  • Arjen A. van der Meer
  • Kai Heussen
  • Oliver Gehrke
  • E. Guillo-Sansano
  • Mazzheruddin Hussain Syed
  • Abdullah Emhemed
  • Ron Brandl
  • Van Hoa Nguyen
  • Ali M. Khavari
  • Quoc Tuan Tran
  • Panos C. Kotsampopoulos
  • Nikos Hatziargyriou
  • Nabil Akroud
  • Evangelos J. Rikos
  • Merkebu Zenebe Degefa

Affiliation

  • SINTEF Energy Research / Energisystemer
  • Technical University of Denmark
  • Université Grenoble Alpes
  • French Atomic Energy and Alternative Energies Commission
  • Greece
  • National Technical University of Athens
  • Delft University of Technology
  • Spain
  • University of Strathclyde
  • Germany
  • University of Applied Sciences Hamburg
  • Fraunhofer-Institut für Windenergie und Energiesystemtechnik
  • Austrian Institute of Technology

Year

2017

Published in

Lecture Notes in Computer Science (LNCS)

ISSN

0302-9743

Volume

10444 LNCS

Page(s)

171 - 185

View this publication at Norwegian Research Information Repository