Abstract
The integration of decentralized prosumers into current energy systems leads to continuously increasing complexity in today‘s popular term of the Smart Grid. Since conventional engineering methods reach their limits when dealing with the challenges in developing such systems, model-driven approaches like Domain Specific Systems Engineering (DSSE) gain significant importance. Contributing to the agile development of such a System of Systems (SoS), the application of the DSSE approach is furthermore supported by the introduction of the Smart Grid Architecture Model (SGAM) and Mosaik. However, with both concepts being individual methodologies, their interconnection is missing specifications. Therefore, this paper proposes the development of an interface between architecting and simulating a complex Smart Grid. To achieve this, the concepts of SGAM and Mosaik are analyzed in the first place in order to set up a suitable architectural model of an energy system and the corresponding simulation scenario. Subsequently, the applicability of the present approach is demonstrated by utilizing an excerpt of a real-world case study, the charging behavior of an Electric Vehicle (EV).
Highlights
First steps have been taken over a decade ago, the transition of the original power grid towards the so-called Smart Grid is gaining in importance in recent years
The artifact created in this work is the concept and implementation of an interface between the previously mentioned tools in order to provide a solution for simulating architectures of energy systems with a single click
Conclusion & future work Due to several domains involved in the Smart Grid and the amount of components that are statically or dynamically connected, the Smart Grid can be defined as System of Systems (SoS)
Summary
First steps have been taken over a decade ago, the transition of the original power grid towards the so-called Smart Grid is gaining in importance in recent years. Some characteristics like a digitalized two-way communication, distributed generation, pervasive control and the possibility to monitor itself are indications for a power grid to be intelligent Those features are mainly enabled by combining aspects from power systems with methods from Communication and Information Technology, Binder et al Energy Informatics (2019), 2(Suppl 1): 20 but they entail further challenges. Due to the huge number of elements within a Smart Grid and their dynamic behavior, such a system needs to be classified as a complex system according to the scale introduced in Haberfellner et al (2015) To further underpin this statement, in Binder et al (2019) it is shown that even the further specifying term System of Systems (SoS) has to be used when describing this kind of system, since it fulfills the typical traits summarized by the contributions of Maier (1998); Sage and Cuppan (2001); DeLaurentis (2005)
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