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arXiv · 1710.02315

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

Cornelius Steinbrink·Sebastian Lehnhoff·Sebastian Rohjans·Thomas I. Strasser·Edmund Widl·Cyndi Moyo·Georg Lauss·Felix Lehfuss·Mario Faschang·Peter Palensky·Arjen A. van der Meer·Kai Heussen·Oliver Gehrke·Efren Guillo-Sansano·Mazheruddin H. Syed·Abdullah Emhemed·Ron Brandl·Van Hoa Nguyen·Ata Khavari·Quoc Tuan Tran·Panos Kotsampopoulos·Nikos Hatziargyriou·Akroud Akroud·Evangelos Rikos·Merkebu Z. Degefa
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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.

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Cornelius Steinbrink, Sebastian Lehnhoff, Sebastian Rohjans, Thomas I. Strasser, Edmund Widl, Cyndi Moyo, Georg Lauss, Felix Lehfuss, Mario Faschang, Peter Palensky, Arjen A. van der Meer, Kai Heussen, Oliver Gehrke, Efren Guillo-Sansano, Mazheruddin H. Syed, Abdullah Emhemed, Ron Brandl, Van Hoa Nguyen, Ata Khavari, Quoc Tuan Tran, Panos Kotsampopoulos, Nikos Hatziargyriou, Akroud Akroud, Evangelos Rikos, Merkebu Z. Degefa. 2017-10-06. Simulation-based Validation of Smart Grids - Status Quo and Future Research Trends. https://doi.org/10.1007/978-3-319-64635-0_13

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