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  4. An integrated research infrastructure for validating cyber-physical energy systems
 
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2017
Conference Paper
Title

An integrated research infrastructure for validating cyber-physical energy systems

Abstract
Renewables are key enablers in the plight to reduce greenhouse gas emissions and cope with anthropogenic global warming. The intermittent nature and limited storage capabilities of renewables culminate in new challenges that power system operators have to deal with in order to regulate power quality and ensure security of supply. At the same time, the increased availability of advanced automation and communication technologies provides new opportunities for the derivation of intelligent solutions to tackle the challenges. Previous work has shown various new methods of operating highly interconnected power grids, and their corresponding components, in a more effective way. As a consequence of these developments, the traditional power system is being transformed into a cyber-physical energy system, a smart grid. Previous and ongoing research have tended to mainly focus on how specific aspects of smart grids can be validated, but until there exists no integrated approach f or the analysis and evaluation of complex cyber-physical systems configurations. This paper introduces integrated research infrastructure that provides methods and tools for validating smart grid systems in a holistic, cyber-physical manner. The corresponding concepts are currently being developed further in the European project ERIGrid.
Author(s)
Strasser, T.I.
Moyo, C.
Bründlinger, R.
Lehnhoff, S.
Blank, M.
Palensky, P.
Meer, A.A. van der
Heussen, K.
Gehrke, O.
Rodriguez, J.E.
Merino, J.
Sandroni, C.
Verga, M.
Calin, M.
Khavari, A.
Sosnina, M.
Jong, E. de
Rohjans, S.
Kulmala, A.
Mäki, K.
Brandl, R.
Coffele, F.
Burt, G.M.
Kotsampopoulos, P.
Hatziargyriou, N.
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_12
Additional link
Full text
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
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