Picture of satellite hovering above Earth

Open Access research exploring new frontiers in aerospace engineering...

Strathprints makes available Open Access scholarly outputs by the Department of Mechanical & Aerospace Engineering at Strathclyde, which includes an emphasis on air and space research. The Advanced Space Concepts Laboratory (ASCL), the Future Air-Space Transportation Technology Laboratory (FASTTlab) and the Intelligent Computational Engineering Laboratory (ICElab) specialise in this work.

The ASCL undertakes frontier research on visionary space systems, delivering radically new approaches to space systems engineering. Meanwhile, FASTTlab seeks to revolutionise the global air-space transportation systems and infrastructure. ICElab develops advanced research on artificial and computational intelligence techniques with particular focus on optimisation, optimal control, uncertainty-based multidisciplinary design optimisation and machine learning applied to the design and control of complex engineering systems.

Learn more and explore the Open Access research by ASCL, FASTTlab and ICElab. Or, explore all of Strathclyde's Open Access research...

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

Steinbrink, C. and Lehnhoff, S. and Rohjans, S. and Strasser, T. I. and Widl, E. and Moyo, C. and Lauss, G. and Lehfuss, F. and Faschang, M. and Palensky, P. and van der Meer, A. A. and Heussen, K. and Gehrke, O. and Guillo Sansano, E. and Syed, M. H. and Emhemed, A. and Brandl, R. and Nguyen, V. H. and Khavari, A. and Tran, Q.T. and Kotsampopoulos, P. and Hatziargyriou, N. and Akroud, N. and Rikos, E. and Degefa, M.Z. (2017) Simulation-based validation of smart grids - status quo and future research trends. In: Proceedings of 8th International Conference on Industrial Applications of Holonic and Multi-Agent Systems. IEEE, Piscataway, N.J.. (In Press)

Text (Steinbrink-etal-HoloMAS-2017-Simulation-based-validation-of-smart-grids-status)
Accepted Author Manuscript

Download (425kB) | Preview


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 rollout 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.