Simulation Support for Explainable Cyber-Physical Energy Systems

Peb Ruswono Aryan, Fajar J. Ekaputra, Reka Marta Sabou, Daniel Hauer, Ralf Mosshammer, Alfred Einfalt, Tomasz Miksa, Andreas Rauber

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


Smart energy grids are evolving from static infrastructures to dynamic systems where Distributed Energy Resources (PV, eCars) are joining or leaving the system randomly. Cyber-Physical (Energy) Systems (CP(E)S) are therefore increasingly complex and dynamic, with several stakeholders (end users, system operators) requiring explanations of the system status/behaviour. The development of solutions for explainable CP(E)S algorithms is however challenging because the deployment and testing in vivo of these solutions is restricted, if not impossible, in terms of the risks of modifying a critical infrastructure. In this paper, we present a semantics based solution to explainable CP(E)S and show how its development is supported by being able to test it in in vitro settings enabled by the BIFROST simulation engine. We validate the proposed solution in a simulated e-mobility use case.
Original languageEnglish
Title of host publication8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)
Editors Peter Palensky, Anurag Srivastava
Place of PublicationNew York
Pages1 - 6
ISBN (Electronic)978-1-7281-8721-1
ISBN (Print)978-1-7281-8722-8
Publication statusPublished - 2020
Externally publishedYes

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 102022 Software development

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