Our paper on “A Standards-based Approach for Domain Specific Modelling of Smart Grid System Architectures” has won the best paper award at the IEEE Int. Conf. on System of Systems Engineering (SoSE) 2016!

Developing the Smart Grid as complex, interdisciplinary System-of-Systems has proven to be a challenging task. Maintaining the strict dependability requirements for this critical infrastructure requires sophisticated engineering techniques. A key concept in this field is denoted as “Systems Engineering” which aims at enabling a holistic and interdisciplinary engineering approach. One of the key aspects hereby is the utilization of models for enabling different viewpoints according to individual stakeholder needs. The presented approach describes a practical implementation of this concept by delivering a Domain Specific Modelling Language (DSL) for Smart Grid systems. This language is derived on basis of the European Smart Grid Architecture Model (SGAM) as common concept for describing Smart Grid systems. Besides the implementation of this modelling language, its applicability has been demonstrated by modelling the NIST Logical Reference Model (NIST LRM) as reference example. In addition to the plain demonstration of the applicability, this approach also outlines how to combine the European SGAM as architecture framework with the NIST LRM as reference solution.

• C. Neureiter, M. Uslar, D. Engel, and G. Lastro, “A Standards-based Approach for Domain Specific Modelling of Smart Grid System Architectures,” in Proceedings of International Conference on System of Systems Engineering (SoSE) 2016, Kongsberg, Norway, 2016, p. 1–6.
  [Bibtex]

  @InProceedings{Neureiter16a,
  author = {Christian Neureiter and Mathias Uslar and Dominik Engel and Goran Lastro},
  title = {A Standards-based Approach for Domain Specific Modelling of Smart Grid System Architectures},
  booktitle = {Proceedings of International Conference on System of Systems Engineering (SoSE) 2016},
  year = {2016},
  pages = {1--6},
  address = {Kongsberg, Norway},
  month = jun,
  note = {Best Paper Award.},
  doi = {10.1109/SYSOSE.2016.7542888},
  pdf = {http://www.en-trust.at/papers/Neureiter16a.pdf},
  }