Abstract
This paper proposes an efficient channel impulse response (CIR)-based technique to detect topology changes in the power grid. The features of the proposed approach include the following aspects: (i) it is a software-only solution, not requiring any intervention on the current smart grid architecture; (ii) topology changes can be detected via a simple distributed algorithm that requires only local communications; and, (iii) both memory and computational footprints of the proposed solution are minimal. The above-mentioned features make this contribution notably appealing for the resource-constrained smart grid domain. Furthermore, the paper provides a detailed discussion of the introduced technique, accompanied by an implementation reflecting a realistic use case, and presents an extensive simulation campaign to show the quality and viability of the proposed approach. A unique feature of our solution is that it performs well even when the communication channel is affected by a high noise level. For instance, with noise levels below 100 dBμV (the typical PLC noise power range), the proposed solution showed a ≈100% detection rate. To the best of our knowledge, our solution is the first one proposing a fully CIR-based, distributed, deterministic algorithm for intrusion detection and localization. We believe that the performance and advantages of the proposed technique pave the way for further smart grid applications and solutions.
Original language | English (US) |
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Article number | 108634 |
Journal | International Journal of Electrical Power and Energy Systems |
Volume | 145 |
DOIs | |
State | Published - Feb 2023 |
Bibliographical note
Funding Information:This publication is supported by Iberdrola S.A. as part of its innovation department research studies. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of Iberdrola Group.
Publisher Copyright:
© 2022 The Author(s)
Keywords
- Channel impulse response
- Physical layer
- Power line communications
- Security
- Smart grid
- Surveillance
- Topology change detection
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering