Digital twins of distributed energy resources for real-time monitoring : data reporting rate considerations

Han, Jiaxuan and Hong, Qiteng and Feng, Zhiwang and Burt, Graeme and Booth, Campbell; (2023) Digital twins of distributed energy resources for real-time monitoring : data reporting rate considerations. In: IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. Annual Conference of the IEEE Industrial Electronics Society . IEEE, SGP, pp. 1-7. ISBN 9798350331820 (https://doi.org/10.1109/IECON51785.2023.10312555)

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Abstract

This paper analyzes the requirements for the reporting rate of the live data source to support the operation of Digital Twins (DTs) of Distributed Energy Resources (DERs) for real-time power systems monitoring applications. The visibility of distribution networks is currently limited due to the lack of sufficient measurement and communication infrastructures. With the rapid increase of DERs, it becomes increasingly important to improve the visibility of the distribution networks to ensure the critical system operating constrains are continuously met. DTs are virtual replicas of physical systems, and with certain live measurement data, they can be used to accurately represent the real-time dynamics of the physical entities. The features of DTs could therefore be applied to increase the visibility of network and potentially support real-time decisions making. This paper presents the investigation of the impact of data reporting rate on DT accuracy, based on which, the paper presents a method that could be used to quantify the minimum requirements for data reporting rate to adequately support the DT operation, which provides valuable learning for specifying measurement devices and communication networks to enable DTs-based solutions.