Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters
In this paper particle swarm optimasation algorithm (PSO) based sliding mode controller(SMC) introduced to control invrters of Uniefied power quality Controllers(UPQC) to control and improve the power quality in microgrids through controlling the output power of the distributed generation source. In...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | fas |
Published: |
Islamic Azad University Bushehr Branch
2024-02-01
|
Series: | مهندسی مخابرات جنوب |
Subjects: | |
Online Access: | https://sanad.iau.ir/journal/jce/Article/869882 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832586392924848128 |
---|---|
author | Mohammad Amin Heidari Mehdi Nafar Taher Niknam |
author_facet | Mohammad Amin Heidari Mehdi Nafar Taher Niknam |
author_sort | Mohammad Amin Heidari |
collection | DOAJ |
description | In this paper particle swarm optimasation algorithm (PSO) based sliding mode controller(SMC) introduced to control invrters of Uniefied power quality Controllers(UPQC) to control and improve the power quality in microgrids through controlling the output power of the distributed generation source. In the proposed control scheme, the standard sliding mode controller (SMC) is used as a robust nonlinear controller, with the addition of the particle swarm optimization (PSO) algorithm - to determine the optimal parameters of the SMC controller. Using PSO added extra advantages like reducing chattering problems and increasing accuracy and tracking capability to the commonly knowns SMC benefits. To confirm the accuracy of the proposed controller's performance, computer simulation is performed under different system load conditions in the MATLAB/Simulink software environment. The obtained results show the effectiveness of the proposed control compared to the standard sliding mode controller in reducing harmonics, reducing voltage imbalance and improving other power quality indicators. |
format | Article |
id | doaj-art-191f441cd7024e8d934111ba05e8b6e6 |
institution | Kabale University |
issn | 2980-9231 |
language | fas |
publishDate | 2024-02-01 |
publisher | Islamic Azad University Bushehr Branch |
record_format | Article |
series | مهندسی مخابرات جنوب |
spelling | doaj-art-191f441cd7024e8d934111ba05e8b6e62025-01-25T17:51:16ZfasIslamic Azad University Bushehr Branchمهندسی مخابرات جنوب2980-92312024-02-0112465976Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers InvertersMohammad Amin Heidari0Mehdi Nafar1Taher Niknam2Department of Electrical Engineering, Marvdasht Branch,Islamic Azad University, Marvdasht, IranDepartment of Electrical Engineering, Marvdasht Branch,Islamic Azad University, Marvdasht, Iranfaculty members of Shiraz University of TechnologyIn this paper particle swarm optimasation algorithm (PSO) based sliding mode controller(SMC) introduced to control invrters of Uniefied power quality Controllers(UPQC) to control and improve the power quality in microgrids through controlling the output power of the distributed generation source. In the proposed control scheme, the standard sliding mode controller (SMC) is used as a robust nonlinear controller, with the addition of the particle swarm optimization (PSO) algorithm - to determine the optimal parameters of the SMC controller. Using PSO added extra advantages like reducing chattering problems and increasing accuracy and tracking capability to the commonly knowns SMC benefits. To confirm the accuracy of the proposed controller's performance, computer simulation is performed under different system load conditions in the MATLAB/Simulink software environment. The obtained results show the effectiveness of the proposed control compared to the standard sliding mode controller in reducing harmonics, reducing voltage imbalance and improving other power quality indicators.https://sanad.iau.ir/journal/jce/Article/869882power qualityinverter controlupqcpso |
spellingShingle | Mohammad Amin Heidari Mehdi Nafar Taher Niknam Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters مهندسی مخابرات جنوب power quality inverter control upqc pso |
title | Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters |
title_full | Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters |
title_fullStr | Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters |
title_full_unstemmed | Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters |
title_short | Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters |
title_sort | particle swarm optimization based sliding mode controller for performance improvement of unified power quality controllers inverters |
topic | power quality inverter control upqc pso |
url | https://sanad.iau.ir/journal/jce/Article/869882 |
work_keys_str_mv | AT mohammadaminheidari particleswarmoptimizationbasedslidingmodecontrollerforperformanceimprovementofunifiedpowerqualitycontrollersinverters AT mehdinafar particleswarmoptimizationbasedslidingmodecontrollerforperformanceimprovementofunifiedpowerqualitycontrollersinverters AT taherniknam particleswarmoptimizationbasedslidingmodecontrollerforperformanceimprovementofunifiedpowerqualitycontrollersinverters |