Abstract
The case of a disruptive agent that tries to maximize damage to the system (determined by total network operating costs), while the system operator is taking the appropriate steps to minimize the consequences of the attack, is considered in the present study. A bi-level optimization problem is used to model the interaction between the two agents. One aspect of this is that the destructive factor is involved in the top-level optimization problem and should choose that lines and generators to disable (with a restricted destructive budget). Therefore, a new scheme is proposed for maximizing the system's resilience under intentional attacks, by implementing distributed energy resources (DERs) such as distributed generation, and demand response. Also, the grey wolf optimization algorithm is used to solve the optimization problem in the paper. By allocating DERs in islands produced by destroyed lines and generators, three metrics have been suggested in order to evaluate resilience.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
