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

Author

Listed:
  • Juan Toctaquiza

    (Master’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, Ecuador)

  • Diego Carrión

    (Master’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, Ecuador
    Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador)

  • Manuel Jaramillo

    (Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador)

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.

Suggested Citation

  • Juan Toctaquiza & Diego Carrión & Manuel Jaramillo, 2023. "An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks," Energies, MDPI, vol. 16(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2879-:d:1102685
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    References listed on IDEAS

    as
    1. Francisco Quinteros & Diego Carrión & Manuel Jaramillo, 2022. "Optimal Power Systems Restoration Based on Energy Quality and Stability Criteria," Energies, MDPI, vol. 15(6), pages 1-23, March.
    2. Xi Wu & Zhengyu Zhou & Gang Liu & Wanchun Qi & Zhenjian Xie, 2017. "Preventive Security-Constrained Optimal Power Flow Considering UPFC Control Modes," Energies, MDPI, vol. 10(8), pages 1-15, August.
    3. T. C., Pramod & Boroojeni, Kianoosh G. & Hadi Amini, M. & Sunitha, N.R. & Iyengar, S.S., 2019. "Key pre-distribution scheme with join leave support for SCADA systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 111-125.
    4. Xin Xu & Yongji Cao & Hengxu Zhang & Shiying Ma & Yunting Song & Dezhi Chen, 2017. "A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios," Energies, MDPI, vol. 10(8), pages 1-19, August.
    5. Han Zhang & Gengfeng Li & Hanjie Yuan, 2018. "Collaborative Optimization of Post-Disaster Damage Repair and Power System Operation," Energies, MDPI, vol. 11(10), pages 1-21, September.
    6. Jaime Pilatásig & Diego Carrión & Manuel Jaramillo, 2022. "Resilience Maximization in Electrical Power Systems through Switching of Power Transmission Lines," Energies, MDPI, vol. 15(21), pages 1-15, November.
    Full references (including those not matched with items on IDEAS)

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