Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems

TL;DR

This paper presents an assisted approach for designing co-simulation scenarios in cyber-physical energy systems, leveraging semantic technologies to improve usability and reduce errors in complex power system testing.

Contribution

It introduces a novel information model and semantic web-based tools to support high-level modeling, component recommendation, and validation of co-simulation scenarios.

Findings

Enhanced usability of co-simulation scenario development.

Reduction in configuration errors.

Improved validation of complex scenarios.

Abstract

Increasing complexity in the power system and the transformation towards a smart grid lead to the necessity of new tools and methods for the development and testing of new technologies. One testing method is co-simulation, which allows coupling simulation components from different domains to test their interaction. Because the manual configuration of complex large-scale co-simulation scenarios can be error-prone, we propose an approach for assisting the user in the development of co-simulation scenarios. Our approach uses an information model, a component catalog implemented in a Semantic Media Wiki, and Semantic Web technologies to assist the high-level modeling of co-simulation scenarios, recommend suitable simulation components, and validate co-simulation scenarios. This assistance aims to improve the usability of co-simulation in the development of interdisciplinary, large-scale scenarios.