Large Scale Rollout of Smart Grid Services

Kintzler, Florian; Gawron-Deutsch, Tobias; Cejka, Stephan; Schulte, Judith; Uslar, Mathias; Veith, Eric Msp; Piątkowska, Ewa; Smith, Paul J.; Kupzog, Friederich; Chong, M. S.; Umsonst, David; Mittelsdorf, Marco

doi:10.1109/giots.2018.8534432

Cited by 12 publications

(5 citation statements)

References 17 publications

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“…The LarGo! project 9 , funded outside the EU network, is a cooperative transnational research project focusing on the large scale rollout of smart grid applications [7].…”

Section: Related Workmentioning

confidence: 99%

IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios

Borghesi

Modica

Bellavista

et al. 2021

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

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With the increase of the volume of data produced by IoT devices, there is a growing demand of applications capable of elaborating data anywhere along the IoT-to-Cloud path (Edge/Fog). In industrial environments, strict real-time constraints require computation to run as close to the data origin as possible (e.g., IoT Gateway or Edge nodes), whilst batch-wise tasks such as Big Data analytics and Machine Learning model training are advised to run on the Cloud, where computing resources are abundant. The H2020 IoTwins project leverages the digital twin concept to implement virtual representation of physical assets (e.g., machine parts, machines, production/control processes) and deliver a software platform that will help enterprises, and in particular SMEs, to build highly innovative, AI-based services that exploit the potential of IoT/Edge/Cloud computing paradigms. In this paper, we discuss the design principles of the IoTwins reference architecture, delving into technical details of its components and offered functionalities, and propose an exemplary software implementation.

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“…The LarGo! project 9 , funded outside the EU network, is a cooperative transnational research project focusing on the large scale rollout of smart grid applications [7].…”

Section: Related Workmentioning

confidence: 99%

IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios

Borghesi

Modica

Bellavista

et al. 2021

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

Self Cite

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“…This paper introduces a smart grid software roll-out testbed, based on the idea discussed by Kintzler, Gawron-Deutsch, Cejka, et al [24]. It details the reasoning behind using a software-in-the-loop (SIL) approach-namely, that the software being rolled out itself is complex enough that an approximation through models is not feasible.…”

Section: Related Workmentioning

confidence: 99%

Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop

Veith,

Kazmi,

Balduin

2020

Preprint

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Power grids are transitioning from an infrastructure model based on reactive electronics towards a smart grid that features complex software stacks with intelligent, pro-active and decentralized control. As the power grid infrastructure becomes a platform for software, so does the need for a reliable rollout of software updates on a large scale. In order to validate resilient large-scale software roll-out protocols, corresponding test beds are needed, which mirror not only Information and Communication Technology (ICT) networks, but also include the actual software being deployed, and show the interaction between the power grid and the ICT network during the roll-out, and especially during roll-out failures. In this paper, we describe the design implementation of a large-scale co-simulation test bed that combines ICT and power grid simulators. We pay specific attention to the details of integrating containerized software in the simulation loop.

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“…The project LarGo! (http://www.largo-project.eu/) is focused on the large-scale roll-out of CPES solutions [45]. MOSAIK is used to couple simulators for testing the roll-out and deployment process of smart grid applications.…”

Section: Further Application Examplesmentioning

confidence: 99%

CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis

et al. 2019

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The complex nature of cyber-physical energy systems (CPES) makes systematic testing of new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows consideration of interdisciplinary dynamic interactions. However, basic coupling of simulation models alone fails to account for many of the challenges of simulation-based multi-domain testing such as expert collaboration in test planning. This paper illustrates an extended CPES test environment based on the co-simulation framework mosaik. The environment contains capabilities for simulation planning, uncertainty quantification and the development of multi-agent systems. An application case involving virtual power plant control is used to demonstrate the platform’s features. Future extensibility of the highly modular test environment is outlined.

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Large Scale Rollout of Smart Grid Services

Cited by 12 publications

References 17 publications

IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios

IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios

Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop

CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis

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