Abstract
In this paper, a neural network predictive controlled bridge type fault current limiter (FCL) is proposed to enhance the transient stability of power systems. Cyber security issues on the performance of neural network controller is also investigated. It is noteworthy that simulations have been conducted by the Matlab/Simulink software. Both symmetrical and unsymmetrical types of permanent and temporary faults have been considered at different locations of a multi-machine power system. Based on the simulation results, it can be concluded that the bridge type FCL based on neural network predictive controller can enhance the transient stability of the system well. Moreover, the cyber-attack has profound effect on the controller performance and the system becomes fully unstable even with the presence of the neural network predictive controlled bridge type FCL.
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.
