LAPSE:2023.31412
Published Article
LAPSE:2023.31412
An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks
April 18, 2023
Abstract
Currently, operating electrical power systems (EPS) is a complex task that relies on the experience of the operators or the strength of algorithms developed for autonomous operation. The continuous operation of EPS is vulnerable to intentional cybernetic and physical attacks. With the most significant extension and distribution in the EPS, the transmission lines are most exposed to potential attacks. Before this, the entire behavior of the EPS changes, and, on occasions, a blackout can even be generated. The present investigation focused on developing a methodology for reconfiguring the power system against intentional attacks, considering the topology change through optimal switching of transmission lines (OTS) based on optimal DC flows and quantifying the contingency index, which allows for the identification of the weaknesses of the EPS. The methodology was applied to the IEEE 30−bus system, and contingencies were randomly generated, as is typical with intentional attacks. The study successfully identified the reconfiguration strategy of EPS based on OTS-DC, mitigating potential problems such as line loadability and voltage angle deviation in the nodes.
Keywords
contingency analysis, intentional attacks in transmission system, optimal power flow, optimal transmission switching, power electrical network security
Suggested Citation
Toctaquiza J, Carrión D, Jaramillo M. An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks. (2023). LAPSE:2023.31412
Author Affiliations
Toctaquiza J: Master’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, Ecuador [ORCID]
Carrión D: Master’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, Ecuador; Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador [ORCID]
Jaramillo M: Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador [ORCID]
Journal Name
Energies
Volume
16
Issue
6
First Page
2879
Year
2023
Publication Date
2023-03-21
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16062879, Publication Type: Journal Article
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LAPSE:2023.31412
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https://doi.org/10.3390/en16062879
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Apr 18, 2023
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