• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Simulation-based validation of smart grids - status quo and future research trends
 
  • Details
  • Full
Options
2017
Conference Paper
Title

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.
Author(s)
Steinbrink, C.
Lehnhoff, S.
Rohjans, S.
Strasser, T.I.
Widl, E.
Moyo, C.
Lauss, G.
Lehfuss, F.
Faschang, M.
Palensky, P.
Meer, A.A. van der
Heussen, K.
Gehrke, O.
Guillo-Sansano, E.
Syed, M.H.
Emhemed, A.
Brandl, R.
Nguyen, V.H.
Khavari, A.
Tran, Q.T.
Kotsampopoulos, P.
Hatziargyriou, N.
Akroud, N.
Rikos, E.
Degefa, M.Z.
Mainwork
Industrial applications of holonic and multi-agent systems. 8th International Conference, HoloMAS 2017  
Conference
International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS) 2017  
Open Access
DOI
10.1007/978-3-319-64635-0_13
Additional link
Full text
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024