Version 1
: Received: 29 June 2024 / Approved: 1 July 2024 / Online: 2 July 2024 (02:18:15 CEST)
How to cite:
Cabezas-Huerta, F. A.; Simeon-Pucuhuayla, F. J.; Luyo-Kuong, J. E.; Ñaupari-Huatuco, D. Z.; Molina-Rodriguez, Y. P. Simultaneous Tuning of the AVR and PSS Parameters Using Particle Swarm Optimization with Periodic Oscillating Exponential Decay. Preprints2024, 2024070099. https://doi.org/10.20944/preprints202407.0099.v1
Cabezas-Huerta, F. A.; Simeon-Pucuhuayla, F. J.; Luyo-Kuong, J. E.; Ñaupari-Huatuco, D. Z.; Molina-Rodriguez, Y. P. Simultaneous Tuning of the AVR and PSS Parameters Using Particle Swarm Optimization with Periodic Oscillating Exponential Decay. Preprints 2024, 2024070099. https://doi.org/10.20944/preprints202407.0099.v1
Cabezas-Huerta, F. A.; Simeon-Pucuhuayla, F. J.; Luyo-Kuong, J. E.; Ñaupari-Huatuco, D. Z.; Molina-Rodriguez, Y. P. Simultaneous Tuning of the AVR and PSS Parameters Using Particle Swarm Optimization with Periodic Oscillating Exponential Decay. Preprints2024, 2024070099. https://doi.org/10.20944/preprints202407.0099.v1
APA Style
Cabezas-Huerta, F. A., Simeon-Pucuhuayla, F. J., Luyo-Kuong, J. E., Ñaupari-Huatuco, D. Z., & Molina-Rodriguez, Y. P. (2024). Simultaneous Tuning of the AVR and PSS Parameters Using Particle Swarm Optimization with Periodic Oscillating Exponential Decay. Preprints. https://doi.org/10.20944/preprints202407.0099.v1
Chicago/Turabian Style
Cabezas-Huerta, F. A., Dionicio Zocimo Ñaupari-Huatuco and Yuri Percy Molina-Rodriguez. 2024 "Simultaneous Tuning of the AVR and PSS Parameters Using Particle Swarm Optimization with Periodic Oscillating Exponential Decay" Preprints. https://doi.org/10.20944/preprints202407.0099.v1
Abstract
This paper presents a new optimization algorithm to control the voltage of power system generators by the simultaneous tuning of the parameters of Automatic Voltage Regulator (AVR) and Power System Stabilizer (PSS) using a new technique called Particle Swarm Optimization with Periodic Oscillating Exponential Decay (PSO - POED). The proposed algorithm was applied to both the Single-Machine Infinite-Bus (SMIB) Power System and the 9-Bus Multi-Machine Power System. The results of the simulation show that the proposed method is efficient and guarantees an improvement in the dynamic stability and convergence rate of the simulations.
Keywords
particle swarm optimization; dynamic stability; automatic voltage regulator; power system stabilizer
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
,
,
