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

doi:10.1109/MSCPES49613.2020.9133700

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 proceeding › Contribution to conference proceedings

Abstract

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 language	English
Title of host publication	8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)
Editors	Peter Palensky, Anurag Srivastava
Place of Publication	New York
Publisher	IEEE
Pages	1 - 6
ISBN (Electronic)	978-1-7281-8721-1
ISBN (Print)	978-1-7281-8722-8
DOIs	https://doi.org/10.1109/MSCPES49613.2020.9133700
Publication status	Published - 2020
Externally published	Yes

Austrian Classification of Fields of Science and Technology (ÖFOS)

102
102001 Artificial intelligence
102015 Information systems
102022 Software development

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Cite this

Aryan, P. R., Ekaputra, F. J., Sabou, R. M., Hauer, D., Mosshammer, R., Einfalt, A., Miksa, T., & Rauber, A. (2020). Simulation Support for Explainable Cyber-Physical Energy Systems. In Peter Palensky, Anurag Srivastava (Ed.), 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES) (pp. 1 - 6). IEEE. https://doi.org/10.1109/MSCPES49613.2020.9133700

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title = "Simulation Support for Explainable Cyber-Physical Energy Systems",

abstract = "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.",

author = "Aryan, {Peb Ruswono} and Ekaputra, {Fajar J.} and Sabou, {Reka Marta} and Daniel Hauer and Ralf Mosshammer and Alfred Einfalt and Tomasz Miksa and Andreas Rauber",

year = "2020",

doi = "10.1109/MSCPES49613.2020.9133700",

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Simulation Support for Explainable Cyber-Physical Energy Systems. / Aryan, Peb Ruswono; Ekaputra, Fajar J.; Sabou, Reka Marta et al.
8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES). ed. / Peter Palensky, Anurag Srivastava. New York: IEEE, 2020. p. 1 - 6.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

TY - GEN

T1 - Simulation Support for Explainable Cyber-Physical Energy Systems

AU - Aryan, Peb Ruswono

AU - Ekaputra, Fajar J.

AU - Sabou, Reka Marta

AU - Hauer, Daniel

AU - Mosshammer, Ralf

AU - Einfalt, Alfred

AU - Miksa, Tomasz

AU - Rauber, Andreas

PY - 2020

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N2 - 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.

AB - 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.

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M3 - Contribution to conference proceedings

SN - 978-1-7281-8722-8

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