Dynamic line rating forecasting algorithm for a secure power system network

Lawal, Olatunji Ahmed; The, Jiashen

doi:10.1016/j.eswa.2023.119635

Cited by 35 publications

(2 citation statements)

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“…There is still a gap between the risk transmission assessment results and the real scene; (2) The method proposed in the article does not consider the integration with dynamic thermal rating (DTR) technology, which has been proven to increase the capacity of existing lines [23,24]. Therefore, the followup research on the method model proposed in this article needs to consider the cross-space conduction assessment method of cyber attack risk under the action of DTR system.…”

Section: Discussionmentioning

confidence: 99%

“…With the construction of a new power system, the proportion of wind and light installed capacity has gradually increased, providing a broader space for the large-scale application and promotion of DTR technology in the future. For example, literature by Lawal and Teh [23] and Su and Teh [24] proves that the deployment of DTR system can safely increase the capacity of existing lines by 30%-50%. Subsequent research ideas can introduce the concept of "line tolerance" to apply the influence of cyber attacks to the calculation and prediction of dynamic heat capacity limit values, and evaluate the impact of cyber attack risks in the information space on transmission lines of physical power grids after cross-space transmission.…”

Section: Future Research Directionsmentioning

confidence: 99%

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Cross-Space Conduction Assessment Method of Network Attack Risk under the Strong Coupling Characteristics of Electric Power Cyber Physics

Qiu,

Fei,

Wang

2023

IET Information Security

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With the deep integration and wide application of advanced digital sensing, Internet of Things technology, and energy technology in power systems. Power information systems and physical systems are gradually being coupled and developed into power cyber–physical systems (CPS). A number of blackouts in recent years have shown that cyberspace cyber attacks on CPS can lead to the intensification and rapid spread of faults in the physical space of the power grid, and even system collapse. Aiming at the difficulty of analyzing the evolution of cyber–physical cross-space impacts of cyber-attacks, this paper proposes a cross-domain propagation impact assessment method that considers cyber–physical coupling risks caused by attacks. First, according to the multiple coupling relationship between the power system information space and physical space, the monitoring function model and the control function model are established. Second, under the effect of high-concealment attack, analyze the impact of the risk caused by its failure after it is transmitted to the physical space with different propagation probabilities. Finally, the experimental verification was carried out using the IEEE RTS79 standard test system. The simulation results show that the proposed method can comprehensively consider the cyber–physical energy supply coupling relationship, the risk propagation probability, and the operating characteristics of the information system, and effectively quantify and evaluate the impact of information space network attacks on the physical space entity power grid. It further reveals the objective law that information space risks can evolve and spread across domains under the condition of strong coupling of information physics.

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Section: Discussionmentioning

confidence: 99%

Section: Future Research Directionsmentioning

confidence: 99%