Any party may pass on this Work by electronic means and make it available for download under the terms and conditions of the Digital Peer Publishing Licence (DPPL)
The eTelligence project explores and demonstrates various smart energy grid ideas by using modern ICT (information and communications technology). For this purpose, many new and heterogeneous types of smart grid systems have to be developed and integrated, such as a regional energy market, distributed energy management systems, and an advanced metering infrastructure. The future interaction scenarios of such new systems are still topics of research, which calls for an architecture easily supporting future changes. The integration capabilities of the eTelligence ICT architecture are based on standardized communication, especially using IEC 61970/61968 (Common Information Model, CIM) and an easily extensible market product description language also realized with CIM. Additionally, we present a process model for using CIM, and report our experiences from using CIM for integration.
As many roadmaps and studies were developed focusing on smart grid standardization a set of core standards was identified. Some of them specify own data models and thus, create a need for harmonization to enable interoperability in terms of communications. On the level of data model integration, two data models play key roles in the future smart grid. On the one hand the Common Information Model and on the other hand IEC 61850-based models. Both were identified as core standards and are part of the IEC TC57 Seamless Integration Architecture, another recommended standard. In this contribution the OPC Unified Architecture, which is also a core standard specifying a server-client-architecture, is used to harmonize the two mentioned data models based on a common access layer. This leads to higher interoperability for, e.g., Energy Management Systems, Distribution Management Systems or SCADA systems.
This work provides an overview on current efforts for communication between interconnected electric vehicles and supply equipments also known as Vehicle-to-Grid (V2G) communication. Such efforts are core enablers for electric vehicles being used for demand side management. Hence this work investigates the ability to adapt the EV charging process in near real-time in case of grid violations through V2G communication by rescheduling or demand-limit renegotiations. The overall benchmark scenario is defined by the identified V2G rescheduling processes in case of unpredicted critical exceedance of operational grid constraints.
Enterprise interoperability is a tool for enhancing the competitiveness of firms, and its importance is brought out by the fact one of the EC's strategic aims is to accomplish interoperability among European firms by the year 2010. Nevertheless, in the particular case of the Valencian Region (Spain), research into enterprise interoperability is still badly structured, fragmented, overlapping and, in many cases, practically non-existent. The INTERVAL project has been set up in an attempt to solve this problem. The scheme plans to carry out a series of initiatives aimed at integrating research activities and applying them to the complicated Valencian business sector. By so doing these companies would benefit from the application of knowledge created specifically for them and adapted to fit their characteristics. In this paper we present the details of the project, including its goals, aims, activities, results achieved, the methodology used to accomplish them, the economic and/or technological advantages, as well as possible applications and future lines of research.
Semantic annotation is an approach to achieve semantic interoperability of heterogeneous resources. An ontology-based semantic annotation framework has been proposed, that can enrich and reconcile semantic representations of process models. The approach has been implemented in a prototype annotation tool, Pro-SEAT, to facilitate the annotation process. Evaluation methods for ontology-based semantic annotation is a new research topic a. We view the annotation framework as a modeling approach, and have choosen to adapt SEQUAL for the evaluation of the approach. SEQUAL has previously been used for the evaluation of modelling languages and approaches, including the evaluation of ontologies, process models, and requirements models and modeling languages. Using the semiotic quality categories in SEQUAL, an evaluation has been made at both the meta-model level (GPO and the PSAM specifications) and model level (the PSAM model instances and the Pro-SEAT tool).
