Y.L. Abdel-Magid

TL;DR: In this paper, the use of the supplementary controllers of a unified power flow controller (UPFC) to damp low frequency oscillations in a weakly connected system is investigated, and the potential of the UPFC supplementary controllers to enhance the dynamic stability is evaluated by measuring the electromechanical controllability through singular value decomposition (SVD) analysis.

TL;DR: In this article, a fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented to improve power system dynamic stability, which provides a natural framework for combining numerical and linguistic information in a uniform fashion.

TL;DR: In this article, a novel Combinatorial Discrete and Continuous Action Reinforcement Learning Automata (CDCARLA) based approach for optimal design of multimachine power system stabilizers (PSSs) is presented.

TL;DR: The proposed method is Continuous Action Reinforcement Learning Automata (CARLA) which is able to explore and learn to improve control performance without the knowledge of the analytical system model and compares its performance with Particle Swarm Optimization and Genetic Algorithms as two famous evolutionary optimization methods.

TL;DR: In this article, the use of the supplementary controller of a unified power flow controller (UPFC) to damp low frequency oscillations in a weakly connected system is investigated and the potential of the UPFC supplementary controllers to enhance the dynamic stability is evaluated.