Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation

Tobias Altenburg, Matthias Volk, Daniel Staegemann, Klaus Turowski

2022

Abstract

The trend of connectivity dominates the technological progress. The number of networked devices is constantly increasing and the use of smart meters has become more societally relevant. For that reason, reliability is an important attribute of related architectures. To calculate reliability, it is required to do a specific analysis for the entire system. This paper describes a structured approach for calculating the reliability of smart meter architectures considering the limited data availability. For this, we combine Reliability Block Diagrams with a Monte Carlo simulation. The result is a realistic approximation of the system reliability, that can be used to evaluate optimization methods.

Paper Citation

in Harvard Style

Altenburg T., Volk M., Staegemann D. and Turowski K. (2022). Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-564-7, pages 47-54. DOI: 10.5220/0010988100003194

in Bibtex Style

@conference{iotbds22,
author={Tobias Altenburg and Matthias Volk and Daniel Staegemann and Klaus Turowski},
title={Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation},
booktitle={Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2022},
pages={47-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010988100003194},
isbn={978-989-758-564-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation
SN - 978-989-758-564-7
AU - Altenburg T.
AU - Volk M.
AU - Staegemann D.
AU - Turowski K.
PY - 2022
SP - 47
EP - 54
DO - 10.5220/0010988100003194