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Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation

The objective of this research is to propose an innovative method for improving the efficiency and productivity of fuzzy logic controllers (FLCs) under the influence of harmonics in non-linear loads, by using particle swarm optimization (PSO) for solid-state transfer switch (SSTS). A PSO-based FLC (...

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Main Authors: Hannan M.A., Sebastian G., Al-Shetwi A.Q., Ker P.J., Rahman S.A., Mansor M., Muttaqi K.M., Uddin M.
Other Authors: 7103014445
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Subjects:
Controller
harmonic elimination
optimization
power quality
power transfer
solid-state transfer switch
Computer circuits
Controllers
Energy transfer
Errors
Fuzzy logic
Harmonic analysis
Mean square error
Membership functions
Particle swarm optimization (PSO)
Quality control
Traffic signals
Fuzzy controllers
Fuzzy logic controllers
Fuzzy-Logic
Harmonic elimination
Optimisations
Particle swarm
Power transfers
Solid-state transfer switches
Swarm optimization
Power quality
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spelling my.uniten.dspace-341332024-10-14T11:18:06Z Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation Hannan M.A. Sebastian G. Al-Shetwi A.Q. Ker P.J. Rahman S.A. Mansor M. Muttaqi K.M. Uddin M. 7103014445 57226837069 57004922700 37461740800 6602374364 6701749037 55582332500 58518468200 Controller harmonic elimination optimization power quality power transfer solid-state transfer switch Computer circuits Controllers Energy transfer Errors Fuzzy logic Harmonic analysis Mean square error Membership functions Particle swarm optimization (PSO) Quality control Traffic signals Fuzzy controllers Fuzzy logic controllers Fuzzy-Logic Harmonic elimination Optimisations Particle swarm Power transfers Solid-state transfer switches Swarm optimization Power quality The objective of this research is to propose an innovative method for improving the efficiency and productivity of fuzzy logic controllers (FLCs) under the influence of harmonics in non-linear loads, by using particle swarm optimization (PSO) for solid-state transfer switch (SSTS). A PSO-based FLC (PSOF) fitness function is introduced to optimize the load transfer performance by minimizing the mean squared error (MSE) in a short period of time. The traditional and time-consuming method of deriving membership functions (MFs) is avoided by utilizing adaptive MFs created from the fitness function evaluation results, which are incorporated into voltage error and rate of change of voltage error for input and output. A harmonic filter is employed to remove unwanted harmonic components generated by both linear and non-linear loads. The effectiveness of the proposed control system is evaluated with and without PSO, and the results demonstrate that optimization with PSO reduces transfer times by approximately 2 ms, 4.35 ms, 3.68 ms, and 3.56 ms for 100%, 50%, 25%, and 10%, respectively. The optimized fuzzy controller yields total transfer times of 0.5 ms, 8.72 ms, 7.88 ms, and 7.32 ms for 100%, 50%, 25%, and 10% voltage sag, respectively. Through simulation tests of the SSTS system, the accuracy and effectiveness of the developed FLC and design procedure are demonstrated. The optimized fuzzy controller shows superior performance in terms of transfer time, detection time, and harmonic reduction in comparison to those obtained without the PSO algorithm in all tested cases. � 1972-2012 IEEE. Final 2024-10-14T03:18:06Z 2024-10-14T03:18:06Z 2023 Article 10.1109/TIA.2023.3289440 2-s2.0-85163511785 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163511785&doi=10.1109%2fTIA.2023.3289440&partnerID=40&md5=d3ec31810060746481389f297a84b707 https://irepository.uniten.edu.my/handle/123456789/34133 59 5 5570 5579 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Controller
harmonic elimination
optimization
power quality
power transfer
solid-state transfer switch
Computer circuits
Controllers
Energy transfer
Errors
Fuzzy logic
Harmonic analysis
Mean square error
Membership functions
Particle swarm optimization (PSO)
Quality control
Traffic signals
Fuzzy controllers
Fuzzy logic controllers
Fuzzy-Logic
Harmonic elimination
Optimisations
Particle swarm
Power transfers
Solid-state transfer switches
Swarm optimization
Power quality
spellingShingle Controller
harmonic elimination
optimization
power quality
power transfer
solid-state transfer switch
Computer circuits
Controllers
Energy transfer
Errors
Fuzzy logic
Harmonic analysis
Mean square error
Membership functions
Particle swarm optimization (PSO)
Quality control
Traffic signals
Fuzzy controllers
Fuzzy logic controllers
Fuzzy-Logic
Harmonic elimination
Optimisations
Particle swarm
Power transfers
Solid-state transfer switches
Swarm optimization
Power quality
Hannan M.A.
Sebastian G.
Al-Shetwi A.Q.
Ker P.J.
Rahman S.A.
Mansor M.
Muttaqi K.M.
Uddin M.
Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation
description The objective of this research is to propose an innovative method for improving the efficiency and productivity of fuzzy logic controllers (FLCs) under the influence of harmonics in non-linear loads, by using particle swarm optimization (PSO) for solid-state transfer switch (SSTS). A PSO-based FLC (PSOF) fitness function is introduced to optimize the load transfer performance by minimizing the mean squared error (MSE) in a short period of time. The traditional and time-consuming method of deriving membership functions (MFs) is avoided by utilizing adaptive MFs created from the fitness function evaluation results, which are incorporated into voltage error and rate of change of voltage error for input and output. A harmonic filter is employed to remove unwanted harmonic components generated by both linear and non-linear loads. The effectiveness of the proposed control system is evaluated with and without PSO, and the results demonstrate that optimization with PSO reduces transfer times by approximately 2 ms, 4.35 ms, 3.68 ms, and 3.56 ms for 100%, 50%, 25%, and 10%, respectively. The optimized fuzzy controller yields total transfer times of 0.5 ms, 8.72 ms, 7.88 ms, and 7.32 ms for 100%, 50%, 25%, and 10% voltage sag, respectively. Through simulation tests of the SSTS system, the accuracy and effectiveness of the developed FLC and design procedure are demonstrated. The optimized fuzzy controller shows superior performance in terms of transfer time, detection time, and harmonic reduction in comparison to those obtained without the PSO algorithm in all tested cases. � 1972-2012 IEEE.
author2 7103014445
author_facet 7103014445
Hannan M.A.
Sebastian G.
Al-Shetwi A.Q.
Ker P.J.
Rahman S.A.
Mansor M.
Muttaqi K.M.
Uddin M.
format Article
author Hannan M.A.
Sebastian G.
Al-Shetwi A.Q.
Ker P.J.
Rahman S.A.
Mansor M.
Muttaqi K.M.
Uddin M.
author_sort Hannan M.A.
title Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation
title_short Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation
title_full Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation
title_fullStr Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation
title_full_unstemmed Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation
title_sort particle swarm optimization algorithm based fuzzy controller for solid-state transfer switch toward fast power transfer and power quality mitigation
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2024
_version_ 1814061105919557632
score 13.222552

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