Power system stability enhancement considering the integration of renewable energy sources

Abstract

The main objective of this topic is to study the optimization of Power System Stabilizers (PSS) using advanced metaheuristic algorithms to enhance the damping and stability of power systems, particularly under severe fault conditions such as three-phase-to-ground faults. The research aims to improve the dynamic performance of power systems by optimizing the parameters of PSS through the Marine Predator Algorithm (MPA) and the Modified Dung Beetle Optimizer (MDBO). By comparing the effectiveness of these algorithms in tuning PSS, the goal is to achieve better system stability, faster fault recovery, and improved overall system performance, which can be validated through simulations and hardware-in-the-loop testing. Key words: Power System Stabilizers (PSS), Metaheuristic Algorithms, Optimization, Stability, Hardware-in-the-Loop Testing.