Realizations of so called smart grids imply numerous challenges for stakeholders within the energy domain. ICT plays more and more a key role as it provides methodologies and approaches fostering smart grid applications. One of the challenges addresses integrated communications among energy management systems, distribution management systems, power generation systems and SCADA systems. In this case, a key issue to be considered is interoperability in terms of both syntax and semantics. For both, using standardized components like interfaces, protocols and data models, is essential to cope with the increasing number of actors and systems. Standards covering these components are discussed in various roadmaps and studies making recommendations. The Common Information Model is one of the recommended core standards for the smart grid and provides amongst others, a comprehensive data model for the energy domain. Another recommended standard is the OPC Unified Architecture being an abstract standard for server-clientcommunications which could be used in domain-specific contexts. Thus, combining the CIM data model and the UA communication architecture leads to a highly interoperable infrastructure meeting syntactic and semantic requirements. In this contribution, a two-step-approach is introduced realizing such an architecture.

Although, a variety of established tools for analysis of power systems already exists, it is in the medium term very unlikely that one of these tools alone will provide all functionalities and models that are required to simulate future Smart Grids in all its facets. This is mainly due to the high number of Smart Grid use cases, actors, and technologies to be integrated that is not known from other industries so far. Accordingly, a mixture of various different and established tools will be required. These, again, have to be composed in use cases specific to complex and system-wide scenarios. Therefore, tools such as simulation platforms and -suites are required that are additionally capable of integrating software-and hardware models and components. Therefore, the proposed approach is an integrated concept allowing for analyzing large-scale scenarios taking into consideration both, stationary and dynamic simulations in real-time.

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