Energy Informatics volume 1 , Article number: 23 Cite this article. Metrics details. Smart energy systems SES promote the transformation of the distribution grid towards more sustainable operation and planning strategies, but also impose a set of considerable technological and political challenges.
In this, distribution system operators DSOs are faced with the necessity of adapting their information system landscapes to enable the efficient utilization of information within their internal structures.
In this work, we propose a model-based approach to derive an open middleware platform supporting the integration of existing system landscapes of DSOs. For this, we shortly describe a domain analysis on the DSO domain, which we use to derive the requirements of our platform. Finally, we demonstrate the applicability of our approach within a small case study for a single use-case.
Smart energy systems SES promote the transformation of the distribution grid towards more sustainable operation and planning strategies, but also impose a set of complex challenges such as high numbers of decentralized and renewable energy sources RES as well as energy storages, high penetration of electric vehicles EV as well as changing load profiles as a result of self consumption. To address these emergent challenges, planning and operation strategies have to accommodate changes and intermittency of loads occurring as a result of aforementioned challenges Ramchurn et al.
For instance, this includes utilization of intelligent load management mechanisms Palensky and Dietrich , predicting, scheduling and storing intermittent power loads from RES Lei et al. To enable these new applications and methods, detailed knowledge about the current state of the low-voltage distribution grid is necessary.
