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Near Real-Time Electric Load Approximation in Low Voltage Cables of Smart Grids with Models@run.time
Hartmann, Thomas; Moawad, Assaad; Fouquet, François et al.
2016In 31st Annual ACM Symposium on Applied Computing (SAC'16)
Peer reviewed
 

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Keywords :
Electric load prediction; Smart grid; Model-driven engineering; Models@run.time; real-time monitoring
Abstract :
[en] Micro-generations and future grid usages, such as charging of electric cars, raises major challenges to monitor the electric load in low-voltage cables. Due to the highly interconnected nature, real-time measurements are problematic, both economically and technically. This entails an overload risk in electricity networks when cables must be disconnected for maintenance reasons or are accidentally damaged. Therefore, it is of great interest for electricity grid providers to anticipate the load in networks and quicker detect failures. However, computing the electric load in cables requires computational intensive power flow calculations and live consumption measurements. Today’s view of the grid is usually based on on-field documentation of cables, fuses, and measurements by technicians and therefore often outdated. Thus, the electric load is usually only simulated in case of major topology variations. However, live measurements of smart meters provide new opportunities. In this paper we present a novel approach for a near real-time electric load approximation by deriving in live the current electric topology and cable loads from smart meter data. We leverage the models@run.time paradigm to combine live measurements with topology characteristics of the grid. Our approach enables to approximate the load in cables, not only for the current grid topology, but also to simulate topology changes for maintenance purposes. We showed that this allows a near real-time approximation while remaining very accurate (average deviation of 1.89% compared to offline power-flow calculation tools). Developed with a grid operator, this approach will be integrated in a monitoring and warning system and as an embeddable solution for on-field simulation.
Disciplines :
Computer science
Author, co-author :
Hartmann, Thomas ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Moawad, Assaad ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Fouquet, François ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Reckinger, Yves
Klein, Jacques ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Near Real-Time Electric Load Approximation in Low Voltage Cables of Smart Grids with Models@run.time
Publication date :
April 2016
Event name :
31st Annual ACM Symposium on Applied Computing (SAC'16)
Event organizer :
University of Pisa and Scuola Superiore Sant’Anna
Event place :
Pisa, Italy
Event date :
04-04-2016 to 08-04-2016
Audience :
International
Main work title :
31st Annual ACM Symposium on Applied Computing (SAC'16)
Pages :
2119--2126
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 11 May 2016

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