Abstract
This article addresses the application of real-time scheduling to the reduction of the peak load of power consumption generated by electric loads in Cyber-Physical Energy Systems (CPES). The goal is to reduce the peak load while achieving a desired Quality of Service of the physical system under control. The considered physical processes are characterized by integrator dynamics and modelled as sporadic real-time activities. Timing constraints are obtained from physical parameters and are used to manage the activation of electric loads by a real-time scheduling algorithm. As a main contribution, an algorithm derived from the multi-processor real-time scheduling domain is proposed to efficiently deal with a high number of physical processes (i.e., electric loads), making its scalability suitable for large CPES, such as smart energy grids. The cyber-physical nature of the proposed method arises from the tight interaction between the physical processes operated by the electric loads, and the applied scheduling.
Useful links
Paper: https://dl.acm.org/doi/10.1145/3047412
Bibtex
@article{10.1145/3047412,
author = {De Martini, Daniele and Benetti, Guido and Vedova, Marco L. Della and Facchinetti, Tullio},
title = {Adaptive Real-Time Scheduling of Cyber-Physical Energy Systems},
year = {2017},
issue_date = {October 2017},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {1},
number = {4},
issn = {2378-962X},
doi = {10.1145/3047412},
journal = {ACM Trans. Cyber-Phys. Syst.},
month = sep,
articleno = {20},
numpages = {25},
}