The use of real-time scheduling methods to coordinate a set of power loads is being explored in the field of Cyber-Physical Energy Systems, with the goal of optimizing the aggregated peak load of power used by many electric loads. Real-time scheduling has attractive features in this domain. Thanks to its inherent resource optimization, which limits the number of concurrent tasks that are running at the same time, real-time scheduling provides direct benefits to peak load optimization. This paper shows the combined use of a two-dimensional binpacking method and an optimal multi-processor real-time scheduling algorithm to coordinate the activation of electric loads. The result is an effective global scheduling approach where the activation of loads is organized into a pattern that takes into account the timing constraints of the loads and the actual combination of active loads. The validation is done by scheduling a set of thermal loads (heaters) in a building, with accurately modeled temperature dynamics. The proposed method is shown to achieve a significant peak load reduction, up to around 70%, w.r.t. the traditional thermostat controller.

De Martini, D., Benetti, G., Cipolla, F., Caprino, D., Della Vedova, M. L., Facchinetti, T., Peak load optimization through 2-dimensional packing and multi-processor real-time scheduling, Paper, in Proceedings of the Computing Frontiers Conference, (University of Siena, ita, 15-17 May 2017), Association for Computing Machinery, Inc, New York 2017: 275-278. 10.1145/3075564.3075587 [http://hdl.handle.net/10807/116513]

Peak load optimization through 2-dimensional packing and multi-processor real-time scheduling

Della Vedova, Marco Luigi;
2017

Abstract

The use of real-time scheduling methods to coordinate a set of power loads is being explored in the field of Cyber-Physical Energy Systems, with the goal of optimizing the aggregated peak load of power used by many electric loads. Real-time scheduling has attractive features in this domain. Thanks to its inherent resource optimization, which limits the number of concurrent tasks that are running at the same time, real-time scheduling provides direct benefits to peak load optimization. This paper shows the combined use of a two-dimensional binpacking method and an optimal multi-processor real-time scheduling algorithm to coordinate the activation of electric loads. The result is an effective global scheduling approach where the activation of loads is organized into a pattern that takes into account the timing constraints of the loads and the actual combination of active loads. The validation is done by scheduling a set of thermal loads (heaters) in a building, with accurately modeled temperature dynamics. The proposed method is shown to achieve a significant peak load reduction, up to around 70%, w.r.t. the traditional thermostat controller.
2017
Inglese
Proceedings of the Computing Frontiers Conference
14th ACM International Conference on Computing Frontiers, CF 2017
University of Siena, ita
Paper
15-mag-2017
17-mag-2017
978-1-4503-4487-6
Association for Computing Machinery, Inc
De Martini, D., Benetti, G., Cipolla, F., Caprino, D., Della Vedova, M. L., Facchinetti, T., Peak load optimization through 2-dimensional packing and multi-processor real-time scheduling, Paper, in Proceedings of the Computing Frontiers Conference, (University of Siena, ita, 15-17 May 2017), Association for Computing Machinery, Inc, New York 2017: 275-278. 10.1145/3075564.3075587 [http://hdl.handle.net/10807/116513]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/116513
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