Optimal Design and Tuning of Novel Fractional Order Fuzzy PID Power System Stabilizer for SMIB Power System Using African Vulture Optimization Algorithm

This paper presents PSS (Power system stabilizer) design based on fractional order fuzzy PID (FOFPID). The proposed PSS architecture design is considered for single-machine infinite bus power system. The primary goal of this design is to reduce or stabilize low-frequency oscillation in power systems. Initially, talking about fractional PID control. Next, combining it with a fuzzy logic controller. The African vulture optimization algorithm (AVOA) is then used to fine-tune the FOFPID parameters <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(K_{e},K_{d},K_{PI},K_{PD},\mu,\lambda)$</tex> in order to achieve the best possible global stability. The findings of the simulation validate that the system is effective in improving the stability of the generator connected to the infinite power supply.

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Published
2024-11-03
DOI
https://doi.org/10.1109/icsc63929.2024.10928841
Primary Topic
Advanced Control Systems Design
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article
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article

Optimal Design and Tuning of Novel Fractional Order Fuzzy PID Power System Stabilizer for SMIB Power System Using African Vulture Optimization Algorithm

Aissa Kheldoun, Rafik Bradai, Soufiane Khettab, Intissar Hattabi
Advanced Control Systems Design
article

Optimal Design and Tuning of Novel Fractional Order Fuzzy PID Power System Stabilizer for SMIB Power System Using African Vulture Optimization Algorithm

Aissa Kheldoun, Rafik Bradai, Soufiane Khettab, Intissar Hattabi
article en

Abstract

This paper presents PSS (Power system stabilizer) design based on fractional order fuzzy PID (FOFPID). The proposed PSS architecture design is considered for single-machine infinite bus power system. The primary goal of this design is to reduce or stabilize low-frequency oscillation in power systems. Initially, talking about fractional PID control. Next, combining it with a fuzzy logic controller. The African vulture optimization algorithm (AVOA) is then used to fine-tune the FOFPID parameters <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(K_{e},K_{d},K_{PI},K_{PD},\mu,\lambda)$</tex> in order to achieve the best possible global stability. The findings of the simulation validate that the system is effective in improving the stability of the generator connected to the infinite power supply.

University of Boumerdes (DZ), University of Blida (DZ)
Openalex Percentile: Top 64%
Advanced Control Systems Design
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