A Model-Driven and Ontology-based Engineering Approach for Smart Grid Automation Applications

Due to the increasing power system complexity caused by a higher penetration of distributed energy resources, advanced engineering methods are required which can handle power system aspects together with information and communication technologies and new automation concepts. In order to handle such a complexity, various engineering concepts have been introduced by providing support such as guidelines, code generation, and reasoning for the development of smart grid use cases and applications in the last few years. Nevertheless, none of these approaches covers all phases in the engineering of smart grid solutions and the corresponding requirements. In this paper, two approaches-focusing on rapid development and on the identification of application inconsistencies-are selected and combined to cover a wider scope of the requirements for smart grid automation application engineering. The integration of the two approaches is shown using an example use case, where multiple functions for a battery energy management system are designed, implemented, and validated.