This research focuses on optimal post-intentional attack operation considering switching transmission systems. The applicable models for this process focus on the application of bi-level optimization methods that are capable of analyzing two possible scenarios in order to reduce the time of loss or departure from the demand of the electricity system. The main objective of this work is related to maintaining the minimum requirements that allow the operation of the Electric Power System, for this the approach of equations will be carried out that allows establishing the mathematical models in the event of intentional attacks, it must maintain the operation of the Electric System and react in the event of contingencies through the Optimal Switching of Transmission Lines.

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.