Enhanced power system stabilizer tuning using marine predator algorithm with comparative analysis and real time validation

This 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.

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Publication Details

Journal
Scientific Reports
Published
2024-11-22
DOI
https://doi.org/10.1038/s41598-024-80154-2
Citations
7
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
1.46
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article

Enhanced power system stabilizer tuning using marine predator algorithm with comparative analysis and real time validation

Aliyu Sabo, Aissa Kheldoun, Youcef Belkhier, Adel Oubelaid et al.
7 citations
Scientific Reports
Power System Optimization and Stability
1.46
article

Enhanced power system stabilizer tuning using marine predator algorithm with comparative analysis and real time validation

Aliyu Sabo, Aissa Kheldoun, Youcef Belkhier, Adel Oubelaid, Nima Khosravi, Rafik Bradai, Intissar Hattabi, Soufian Khettab
article en
7 citations

Abstract

This 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.

Scientific ReportsVol. 14(1)
Centre National de la Recherche Scientifique (FR), Universiti Putra Malaysia (MY), Université de Bretagne Occidentale (FR), University of Béjaïa (DZ), University of Boumerdes (DZ), Niroo Research Institute (IR), Chitkara University (IN), University of Blida (DZ)
Life below water
Openalex Percentile: Top 17%
Power System Optimization and Stability
1.46
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Enhanced power system stabilizer tuning using marine predator algorithm with comparative analysis and real time validation — Aliyu Sabo, Aissa Kheldoun, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS