Cybersecurity for Smart Power Systems and Transmission Networks

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 October 2025 | Viewed by 339

Special Issue Editor


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Guest Editor
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada
Interests: cybersecurity; power systems; smart grids

Special Issue Information

Dear Colleagues,

In an era where the integration of advanced technologies into power systems is transforming the energy landscape, cybersecurity has become a critical concern. Smart power systems and transmission networks are increasingly reliant on digital technologies, such as sensors, communication networks, and data analytics, to enhance operational efficiency, reliability, and flexibility. While these innovations offer numerous benefits, they also introduce new vulnerabilities and threats that can compromise the integrity, availability, and confidentiality of critical infrastructure.

This Special Issue focuses on the intersection of cybersecurity and smart power systems, exploring how emerging threats and vulnerabilities impact transmission networks and how effective security measures can be implemented to safeguard these vital components of our energy infrastructure. We aim to present cutting-edge research, case studies, and innovative solutions that address the unique cybersecurity challenges faced by modern power systems.

Topics of interest include, but are not limited to, the following:

  • Cybersecurity Threats and Vulnerabilities in Smart Power Systems;
  • Risk Assessment and Management for Transmission Networks;
  • Intrusion Detection and Prevention Systems;
  • Secure Communication Protocols and Architectures;
  • Data Integrity and Protection;
  • Incident Response and Recovery Strategies;
  • Regulatory and Compliance Issues;
  • Integration of Machine Learning and AI in Cybersecurity;
  • Cybersecurity Challenges in Emerging Smart Grid Technologies.

Dr. Mohsen Khalaf
Guest Editor

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Keywords

  • cybersecurity
  • smart power systems
  • transmission networks
  • critical infrastructure protection
  • threat detection
  • risk management
  • data integrity
  • network security
  • advanced persistent threats (APTs)
  • incident response
  • secure communication protocols
  • wide-area monitoring, protection and control

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Published Papers (1 paper)

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Research

20 pages, 1242 KiB  
Article
A Novel Algorithm for Recovering Out-of-Service Loads in Smart Distribution Systems Following Exposure to Cyber-Attacks
by Mohamed Goda, Mazen Abdel-Salam, Mohamed-Tharwat El-Mohandes and Ahmed Elnozahy
Electronics 2025, 14(13), 2641; https://doi.org/10.3390/electronics14132641 - 30 Jun 2025
Abstract
An algorithm is proposed to recover out-of-service loads (OOSLs) in smart distribution systems (SDSs) after exposure to cyber-attacks (CAs) resulting in interruptions of in-service loads (INSLs). The proposed algorithm is implemented in three steps. The first step is based on building the SDS [...] Read more.
An algorithm is proposed to recover out-of-service loads (OOSLs) in smart distribution systems (SDSs) after exposure to cyber-attacks (CAs) resulting in interruptions of in-service loads (INSLs). The proposed algorithm is implemented in three steps. The first step is based on building the SDS in matrix form to be data input to the proposed algorithm. The second step is concerned with classifying the SDS into three zones: the attacked zone, the primary neighbor zone, and the secondary neighbor zone. The third step is performing five maneuvering processes (MPs) to recover the OOSL without breaking the electric limitations (ELs). The ELs are related to the maximum branch current, the node voltage, the load priority, the radiality maintenance of the SDS, the minimum system total power loss, the instruction sequence of the automatic-communication-switches (ACS), and the minimum number of ACSs. The proposed algorithm was tested under a 70-bus SDS with four electric supply feeders. The proposed algorithm achieved supply recovery for all OOSLs with efficiency of 100% after the occurrence of a CA on a single or double ACS without breaking the ELs. The proposed algorithm succeeded in achieving supply recovery for 97.6%, 97.1%, and 96.4% of the OOSLs after the simultaneous occurrence of a CA on three, four, and five ACSs, respectively, without breaking the ELs. The advantages of the proposed algorithm are a lack of dependency on the system size, a short electric supply recovery time within the range of 190–199 ms, a lack of dependency on distributed generation (DG), and the achievement of self-healing in the SDS following a single and two simultaneous CAs, as well as almost achieving self-healing under exposure to three, four, and five simultaneous CAs. Full article
(This article belongs to the Special Issue Cybersecurity for Smart Power Systems and Transmission Networks)
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