LAPSE:2023.19068
Published Article

LAPSE:2023.19068
A Low Latency Secure Communication Architecture for Microgrid Control
March 9, 2023
Abstract
The availability of secure, efficient, and reliable communication systems is critical for the successful deployment and operations of new power systems such as microgrids. These systems provide a platform for implementing intelligent and autonomous algorithms that improve the power control process. However, building a secure communication system for microgrid purposes that is also efficient and reliable remains a challenge. Conventional security mechanisms introduce extra processing steps that affect performance by increasing the latency of microgrid communication beyond acceptable limits. They also do not scale well and can impact the reliability of power operations as the size of a microgrid grows. This paper proposes a low latency secure communication architecture for control operations in an islanded IoT-based microgrid that solves these problems. The architecture provides a secure platform that optimises the standard CoAP/DTLS implementation to reduce communication latency. It also introduces a traffic scheduler component that uses a fixed priority preemptive algorithm to ensure reliability as the microgrid scales up. The architecture is implemented on a lab-scale IoT-based microgrid prototype to test for performance and security. Results show that the proposed architecture can mitigate the main security threats and provide security services necessary for power control operations with minimal latency performance. Compared to other implementations using existing secure IoT protocols, our secure architecture was the only one to satisfy and maintain the recommended latency requirements for power control operations, i.e., 100 ms under all conditions.
The availability of secure, efficient, and reliable communication systems is critical for the successful deployment and operations of new power systems such as microgrids. These systems provide a platform for implementing intelligent and autonomous algorithms that improve the power control process. However, building a secure communication system for microgrid purposes that is also efficient and reliable remains a challenge. Conventional security mechanisms introduce extra processing steps that affect performance by increasing the latency of microgrid communication beyond acceptable limits. They also do not scale well and can impact the reliability of power operations as the size of a microgrid grows. This paper proposes a low latency secure communication architecture for control operations in an islanded IoT-based microgrid that solves these problems. The architecture provides a secure platform that optimises the standard CoAP/DTLS implementation to reduce communication latency. It also introduces a traffic scheduler component that uses a fixed priority preemptive algorithm to ensure reliability as the microgrid scales up. The architecture is implemented on a lab-scale IoT-based microgrid prototype to test for performance and security. Results show that the proposed architecture can mitigate the main security threats and provide security services necessary for power control operations with minimal latency performance. Compared to other implementations using existing secure IoT protocols, our secure architecture was the only one to satisfy and maintain the recommended latency requirements for power control operations, i.e., 100 ms under all conditions.
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Keywords
low latency communication, microgrid communication architecture, microgrid control, secure communication
Subject
Suggested Citation
Kondoro A, Dhaou IB, Tenhunen H, Mvungi N. A Low Latency Secure Communication Architecture for Microgrid Control. (2023). LAPSE:2023.19068
Author Affiliations
Kondoro A: Department of Electronics and Embedded Systems, The Royal Institute of Technology (KTH), 114 28 Stockholm, Sweden [ORCID]
Dhaou IB: Department of Computer Science, Hekma School of Engineering, Computing, and Informatics, Dar Al-Hekma University, Jeddah 22246-4872, Saudi Arabia; Department of Computing, University of Turku, FI-20014 Turku, Finland; Higher Institute of Computer Sciences
Tenhunen H: Department of Electronics and Embedded Systems, The Royal Institute of Technology (KTH), 114 28 Stockholm, Sweden
Mvungi N: College of Information and Communication Technologies, University of Dar es Salaam, Dar es Salaam 14113, Tanzania
Dhaou IB: Department of Computer Science, Hekma School of Engineering, Computing, and Informatics, Dar Al-Hekma University, Jeddah 22246-4872, Saudi Arabia; Department of Computing, University of Turku, FI-20014 Turku, Finland; Higher Institute of Computer Sciences
Tenhunen H: Department of Electronics and Embedded Systems, The Royal Institute of Technology (KTH), 114 28 Stockholm, Sweden
Mvungi N: College of Information and Communication Technologies, University of Dar es Salaam, Dar es Salaam 14113, Tanzania
Journal Name
Energies
Volume
14
Issue
19
First Page
6262
Year
2021
Publication Date
2021-10-01
ISSN
1996-1073
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Original Submission
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PII: en14196262, Publication Type: Journal Article
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LAPSE:2023.19068
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https://doi.org/10.3390/en14196262
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Mar 9, 2023
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