Decentralised Scheduling of Power Consumption in Micro-grids : Optimisation and Security. / Weldehawaryat, Goitom; Ambassa, Pacome; Marufu, Anesu; Wolthusen, Stephen; Kayem, Anne V.D.M.

Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016). Springer-Verlag, 2017. p. 69-86 (Lecture Notes in Computer Science; Vol. 10166).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

Decentralised Scheduling of Power Consumption in Micro-grids : Optimisation and Security. / Weldehawaryat, Goitom; Ambassa, Pacome; Marufu, Anesu; Wolthusen, Stephen; Kayem, Anne V.D.M.

Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016). Springer-Verlag, 2017. p. 69-86 (Lecture Notes in Computer Science; Vol. 10166).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Weldehawaryat, G, Ambassa, P, Marufu, A, Wolthusen, S & Kayem, AVDM 2017, Decentralised Scheduling of Power Consumption in Micro-grids: Optimisation and Security. in Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016). Lecture Notes in Computer Science, vol. 10166, Springer-Verlag, pp. 69-86. https://doi.org/10.1007/978-3-319-61437-3_5

APA

Weldehawaryat, G., Ambassa, P., Marufu, A., Wolthusen, S., & Kayem, A. V. D. M. (2017). Decentralised Scheduling of Power Consumption in Micro-grids: Optimisation and Security. In Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016) (pp. 69-86). (Lecture Notes in Computer Science; Vol. 10166). Springer-Verlag. https://doi.org/10.1007/978-3-319-61437-3_5

Vancouver

Weldehawaryat G, Ambassa P, Marufu A, Wolthusen S, Kayem AVDM. Decentralised Scheduling of Power Consumption in Micro-grids: Optimisation and Security. In Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016). Springer-Verlag. 2017. p. 69-86. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-61437-3_5

Author

Weldehawaryat, Goitom ; Ambassa, Pacome ; Marufu, Anesu ; Wolthusen, Stephen ; Kayem, Anne V.D.M. / Decentralised Scheduling of Power Consumption in Micro-grids : Optimisation and Security. Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016). Springer-Verlag, 2017. pp. 69-86 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{e608e2441ecc4df4b37f3fb3b3f667f8,
title = "Decentralised Scheduling of Power Consumption in Micro-grids: Optimisation and Security",
abstract = "We consider a micro-grid architecture that is distributed in nature and reliant on renewable energy. In standard grid architectures, demand management is handled via scheduling protocols that are centrally coordinated. Centralised approaches are however computationally intensive, thus not suited to distributed grid architectures with limited computational power. We address this problem with a decentralised scheduling algorithm. In our scheduling algorithm, the alternating direction method of multipliers (ADMM) is used to decompose the scheduling problem into smaller sub problems that are solved in parallel over local computation devices, which yields an optimal solution. We show that ADMM can be used to model a scheduling solution that handles both decentralised and fully decentralised cases. As a further step, we show that false data injection attacks can be provoked by compromising parts of the communication infrastructure or a set of computing devices. In this case, the algorithm fails to converge to an optimum or converges toward a value that lends the attacker an advantage, and impacts the scheduling scheme negatively.",
keywords = "Micro-grid architectures Power consumption scheduling Distributed demand management Energy management Demand response ADMM ",
author = "Goitom Weldehawaryat and Pacome Ambassa and Anesu Marufu and Stephen Wolthusen and Kayem, {Anne V.D.M.}",
year = "2017",
month = jun,
day = "10",
doi = "10.1007/978-3-319-61437-3_5",
language = "English",
isbn = "978-3-319-61436-6",
series = "Lecture Notes in Computer Science",
publisher = "Springer-Verlag",
pages = "69--86",
booktitle = "Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016)",

}

RIS

TY - GEN

T1 - Decentralised Scheduling of Power Consumption in Micro-grids

T2 - Optimisation and Security

AU - Weldehawaryat, Goitom

AU - Ambassa, Pacome

AU - Marufu, Anesu

AU - Wolthusen, Stephen

AU - Kayem, Anne V.D.M.

PY - 2017/6/10

Y1 - 2017/6/10

N2 - We consider a micro-grid architecture that is distributed in nature and reliant on renewable energy. In standard grid architectures, demand management is handled via scheduling protocols that are centrally coordinated. Centralised approaches are however computationally intensive, thus not suited to distributed grid architectures with limited computational power. We address this problem with a decentralised scheduling algorithm. In our scheduling algorithm, the alternating direction method of multipliers (ADMM) is used to decompose the scheduling problem into smaller sub problems that are solved in parallel over local computation devices, which yields an optimal solution. We show that ADMM can be used to model a scheduling solution that handles both decentralised and fully decentralised cases. As a further step, we show that false data injection attacks can be provoked by compromising parts of the communication infrastructure or a set of computing devices. In this case, the algorithm fails to converge to an optimum or converges toward a value that lends the attacker an advantage, and impacts the scheduling scheme negatively.

AB - We consider a micro-grid architecture that is distributed in nature and reliant on renewable energy. In standard grid architectures, demand management is handled via scheduling protocols that are centrally coordinated. Centralised approaches are however computationally intensive, thus not suited to distributed grid architectures with limited computational power. We address this problem with a decentralised scheduling algorithm. In our scheduling algorithm, the alternating direction method of multipliers (ADMM) is used to decompose the scheduling problem into smaller sub problems that are solved in parallel over local computation devices, which yields an optimal solution. We show that ADMM can be used to model a scheduling solution that handles both decentralised and fully decentralised cases. As a further step, we show that false data injection attacks can be provoked by compromising parts of the communication infrastructure or a set of computing devices. In this case, the algorithm fails to converge to an optimum or converges toward a value that lends the attacker an advantage, and impacts the scheduling scheme negatively.

KW - Micro-grid architectures Power consumption scheduling Distributed demand management Energy management Demand response ADMM

U2 - 10.1007/978-3-319-61437-3_5

DO - 10.1007/978-3-319-61437-3_5

M3 - Conference contribution

SN - 978-3-319-61436-6

T3 - Lecture Notes in Computer Science

SP - 69

EP - 86

BT - Proceedings of the Second International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems (CyberICPS 2016)

PB - Springer-Verlag

ER -