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Resilient operation of DC microgrid against FDI attack : a GRU based framework
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He, Qiaohui, Shah, Priyank and Zhao, Xiaowei (2023) Resilient operation of DC microgrid against FDI attack : a GRU based framework. International Journal of Electrical Power & Energy Systems, 145 . 108586. doi:10.1016/j.ijepes.2022.108586 ISSN 0142-0615.
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WRAP-Resilient-operation-of-DC-microgrid-against-FDI-attack-a-GRU-based-framework-Zhao-2023.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (3134Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.ijepes.2022.108586
Abstract
DC microgrid is the most susceptible to cyber-attacks as the communication channel is involved for the implementation of the secondary controller. Accordingly, the false data are injected into the transmitted data (i.e., DC bus voltage) and it may lead to deteriorating the system performance. To address these issues, the gated recurrent unit (GRU) based mechanism is presented to eliminate the false data injection (FDI) attack for the resilient operation of the DC microgrid. The presented GRU-based framework is divided into two parts: 1) estimation strategy: an offline-trained GRU based network is employed herein for online evaluation of the actual DC bus voltage, and 2) mitigation strategy: GRU based trained network is exploited herein with an amalgamation of the proportional-integral (PI) controller to counteract the malicious cyber-attack. The presented GRU-based framework has several advantages such as ease of implementation and computationally efficient, unlike state-of-art methods. The sensitivity analysis is investigated herein to validate the effectiveness of the presented GRU-based framework over state-of-art techniques. Simulation results show satisfactory performance under manifold operating scenarios such as bias injection attack and time-varying attack. In addition, the quantitative and qualitative comparative performances are performed herein to demonstrate the efficacy of the presented framework.
Item Type: | Journal Article | ||||||||||
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Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||
Library of Congress Subject Headings (LCSH): | Microgrids (Smart power grids), Electric power distribution -- Direct current, Smart power grids -- Security measures, Cooperating objects (Computer systems), Computer networks -- Security measures, Electric current converters, Power electronics , Solar energy | ||||||||||
Journal or Publication Title: | International Journal of Electrical Power & Energy Systems | ||||||||||
Publisher: | Elsevier SCI LTD | ||||||||||
ISSN: | 0142-0615 | ||||||||||
Official Date: | February 2023 | ||||||||||
Dates: |
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Volume: | 145 | ||||||||||
Number of Pages: | 14 | ||||||||||
Article Number: | 108586 | ||||||||||
DOI: | 10.1016/j.ijepes.2022.108586 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||
Date of first compliant deposit: | 25 October 2022 | ||||||||||
Date of first compliant Open Access: | 25 October 2022 | ||||||||||
RIOXX Funder/Project Grant: |
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