Usually, public utility networks such as electricity, gas, district heating, and to a limited extent also the water network, have been designed to be operated almost independently of each other. The interaction between two or more of these networks generally involves the conversion of energy between different energy carriers. To facilitate the integration among these networks and enable optimal management mechanisms of the energy system as a whole, it is necessary that systems currently operated in a completely separate manner have information exchange points. This requires full interoperability of the systems, which can only be achieved if the systems are able to exchange information between each other through common data models and a semantics that is understandable to all players. RSE’s experience in the Smart Grid sector has allowed it to identify ontologies capable of facilitating interoperability among different public utility networks.

In the second part of the report, the microservices offered by the Smart Grid Semantic Platform (SGSP) are extended. This activity has highlighted the possibility for DSOs to bring (legacy) applications into an innovative solution such as the SGSP, which, as already demonstrated in previous years, is able to support both semantic models and models based on Big Data techniques. The applications meant to be re-engineered into microservices were selected by platforms developed by RSE in previous research activities, namely MAPS (Multi Agent for Power System) and SARA (Active Network Analysis Tool). Their components to be re-engineered to be inserted into the SGSP platform as microservices are described.