An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks
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 significa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/6/2879 |
| _version_ | 1797612076972113920 |
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| author | Juan Toctaquiza Diego Carrión Manuel Jaramillo |
| author_facet | Juan Toctaquiza Diego Carrión Manuel Jaramillo |
| author_sort | Juan Toctaquiza |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T06:37:16Z |
| format | Article |
| id | doaj.art-c8311117c4c84d1286c34ba1d8fcba13 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T06:37:16Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c8311117c4c84d1286c34ba1d8fcba132023-11-17T10:52:14ZengMDPI AGEnergies1996-10732023-03-01166287910.3390/en16062879An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional AttacksJuan Toctaquiza0Diego Carrión1Manuel Jaramillo2Master’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, EcuadorMaster’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, EcuadorSmart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, EcuadorCurrently, 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.https://www.mdpi.com/1996-1073/16/6/2879contingency analysisoptimal power flowpower electrical network securityintentional attacks in transmission systemoptimal transmission switching |
| spellingShingle | Juan Toctaquiza Diego Carrión Manuel Jaramillo An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks Energies contingency analysis optimal power flow power electrical network security intentional attacks in transmission system optimal transmission switching |
| title | An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks |
| title_full | An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks |
| title_fullStr | An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks |
| title_full_unstemmed | An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks |
| title_short | An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks |
| title_sort | electrical power system reconfiguration model based on optimal transmission switching under scenarios of intentional attacks |
| topic | contingency analysis optimal power flow power electrical network security intentional attacks in transmission system optimal transmission switching |
| url | https://www.mdpi.com/1996-1073/16/6/2879 |
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