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An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number2879
JournalEnergies
Volume16
Issue number6
DOIs
StatePublished - Mar 2023

Bibliographical note

Funding Information:
This work was supported by Universidad Politécnica Salesiana and GIREI—Smart Grid Research Group under the optimal operation of electrical power systems considering new technologies and energy sustainability criteria project.

Publisher Copyright:
© 2023 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • contingency analysis
  • intentional attacks in transmission system
  • optimal power flow
  • optimal transmission switching
  • power electrical network security

CACES Knowledge Areas

  • 317A Electricity and Energy

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