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D. Hauer, M. Götzinger, A. Jantsch, F. Kintzler:
"Context Aware Monitoring for Smart Grids";
Vortrag: 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), Kyoto, Japan; 20.06.2021 - 23.06.2021; in: "2021 IEEE International Symposium on Industrial Electronics (ISIE)", IEEE, (2021), ISSN: 2163-5145; S. 1 - 6.

Today's energy grids face an increasing number of decentralized and renewable energy sources as well as growing e-mobility. Therefore, reliable grid monitoring becomes a key element for a sustainable grid operation. Traditional grid monitoring concepts are either fully manual, need a detailed system model, or rely on computationally heavy machine learning concepts. However, with the given complexity of the energy grid, a model-free and context-aware monitoring approach can save resources and efforts. Recently, we introduced the Confidence-based Context-Aware Condition Monitoring (CCAM) system and successfully tested it on two different industrial use-cases: a hydraulic circuit and an AC motor. In this paper, we enhance CCAM for a third, entirely different industrial use case, an energy grid, by introducing two extensions - a continuous reevaluation and a state mooring approach. Furthermore, we present a new Smart Grid monitoring methodology on top of CCAM, paving the way for new real-time grid control systems. We evaluate our approach based on historical load data from a low voltage grid section. Our results show that characteristics of a daily load profile can be learned and outliers can be detected.

Smart grids, Context awareness, Monitoring

http://dx.doi.org/10.1109/ISIE45552.2021.9576488

https://publik.tuwien.ac.at/files/publik_301296.pdf