Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer

This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid system. The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a rec...

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Autores principales: Moetasem Ali, Hossam Kotb, Kareem M. Aboras, Nabil H. Abbasy
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/b5f88a49305b420d8a66cc11a5fe27d0
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spelling oai:doaj.org-article:b5f88a49305b420d8a66cc11a5fe27d02021-11-18T00:07:01ZDesign of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer2169-353610.1109/ACCESS.2021.3125317https://doaj.org/article/b5f88a49305b420d8a66cc11a5fe27d02021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9600853/https://doaj.org/toc/2169-3536This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid system. The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a recent metaheuristic optimization algorithm. The case study is a two-area microgrid system that contains diesel generators, various renewable energy sources such as photovoltaic and wind generation systems, as well as different energy storage devices. Moreover, real wind speed and solar irradiance measurements have been collected for proper system modeling. The performance of the proposed cascaded PI-FOPID controller is compared to the single structure fractional order PID (FOPID) controller based on GTO and numerous other optimization techniques presented in the previous literature such as Genetic Algorithm and Particle Swarm Optimization. The robustness of the proposed cascaded PI-FOPID controller is investigated under different scenarios such as different step load perturbations, random load disturbances, and renewable energy sources variation. The simulation results are carried out using MATLAB/Simulink. The results show that the proposed controller provides an improvement in the maximum overshoot/undershoot and settling time of 99.8% and 75.9%, respectively, compared to other competing techniques.Moetasem AliHossam KotbKareem M. AborasNabil H. AbbasyIEEEarticleCascaded PI- fractional order proportional-integral-derivative controllergorilla troops optimizerhybrid microgrid systemload frequency controlrenewable sourcestwo-area systemElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150715-150732 (2021)
institution DOAJ
collection DOAJ
language EN
topic Cascaded PI- fractional order proportional-integral-derivative controller
gorilla troops optimizer
hybrid microgrid system
load frequency control
renewable sources
two-area system
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Cascaded PI- fractional order proportional-integral-derivative controller
gorilla troops optimizer
hybrid microgrid system
load frequency control
renewable sources
two-area system
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Moetasem Ali
Hossam Kotb
Kareem M. Aboras
Nabil H. Abbasy
Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer
description This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid system. The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a recent metaheuristic optimization algorithm. The case study is a two-area microgrid system that contains diesel generators, various renewable energy sources such as photovoltaic and wind generation systems, as well as different energy storage devices. Moreover, real wind speed and solar irradiance measurements have been collected for proper system modeling. The performance of the proposed cascaded PI-FOPID controller is compared to the single structure fractional order PID (FOPID) controller based on GTO and numerous other optimization techniques presented in the previous literature such as Genetic Algorithm and Particle Swarm Optimization. The robustness of the proposed cascaded PI-FOPID controller is investigated under different scenarios such as different step load perturbations, random load disturbances, and renewable energy sources variation. The simulation results are carried out using MATLAB/Simulink. The results show that the proposed controller provides an improvement in the maximum overshoot/undershoot and settling time of 99.8% and 75.9%, respectively, compared to other competing techniques.
format article
author Moetasem Ali
Hossam Kotb
Kareem M. Aboras
Nabil H. Abbasy
author_facet Moetasem Ali
Hossam Kotb
Kareem M. Aboras
Nabil H. Abbasy
author_sort Moetasem Ali
title Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer
title_short Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer
title_full Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer
title_fullStr Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer
title_full_unstemmed Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer
title_sort design of cascaded pi-fractional order pid controller for improving the frequency response of hybrid microgrid system using gorilla troops optimizer
publisher IEEE
publishDate 2021
url https://doaj.org/article/b5f88a49305b420d8a66cc11a5fe27d0
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AT hossamkotb designofcascadedpifractionalorderpidcontrollerforimprovingthefrequencyresponseofhybridmicrogridsystemusinggorillatroopsoptimizer
AT kareemmaboras designofcascadedpifractionalorderpidcontrollerforimprovingthefrequencyresponseofhybridmicrogridsystemusinggorillatroopsoptimizer
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