Hattabi, IntissarKheldoun, AissaBradai, RafikKhettab, SoufianSabo, AliyuBelkhier, YoucefKhosravi, NimaOubelaid, Adel2024-12-162024-12-1620242045-2322https://doi.org/10.1038/s41598-024-80154-2https://www.nature.com/articles/s41598-024-80154-2https://dspace.univ-boumerdes.dz/handle/123456789/14940This study concentrates on the implementation of Marine Predator Algorithm (MPA) scheme for tuning of a power system stabilizer’s (PSS’s) parameters to damp the low-frequency oscillations in a power system. To this, the single machine infinite bus system (SMIB), the Western System Coordinating Council (WSCC) and the New England 10 machine 39-bus power system are utilized for testing and comparing different metaheuristic algorithms using different fitness functions. Optimal PSS parameters of SMIB test system are validated using CU-SLRT Std, a real-time digital simulator. The comparative studies demonstrate that the MPA optimized PSS yields improvements of up to 98.62% in the Particle Swarm Optimization (PSO) at 69.42%, Whale Optimization Algorithm (WOA) at 71.79%, Flower Pollination Algorithm (FPA) at 72.39%, African vulture optimization algorithm (AVOA) at 78.04%, Wild Horse Optimization (WHO) algorithm at 68.57% under various operating scenarios. The superiority of the MPA optimized PSS has been validated using Hardware-in-the-loop implementation for the SMIB test system.enElectrical and electronic engineeringEnergy grids and networksPower distributionArticle