OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM

Abstract. This paper investigates the use of fractional order Proportional, Integral and Derivative (FOPID) controllers for the frequency and power regulation in a microgrid power system. The proposed microgrid system composes of renewable energy resources such as solar and wind generators, diesel e...

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Autores principales:	M. Regad, M. Helaimi, R. Taleb, H. Gabbar, A. Othman
Formato:	article
Lenguaje:	EN RU UK
Publicado:	National Technical University "Kharkiv Polytechnic Institute" 2020
Materias:	microgrid frequency control fopid controller krill herd particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/54b1b14e7dc64c5298439a57074b6d7d
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spelling	oai:doaj.org-article:54b1b14e7dc64c5298439a57074b6d7d2021-12-02T18:41:27ZOPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM10.20998/2074-272X.2020.2.112074-272X2309-3404https://doaj.org/article/54b1b14e7dc64c5298439a57074b6d7d2020-04-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/2074-272X.2020.2.11/201119https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Abstract. This paper investigates the use of fractional order Proportional, Integral and Derivative (FOPID) controllers for the frequency and power regulation in a microgrid power system. The proposed microgrid system composes of renewable energy resources such as solar and wind generators, diesel engine generators as a secondary source to support the principle generators, and along with different energy storage devices like fuel cell, battery and flywheel. Due to the intermittent nature of integrated renewable energy like wind turbine and photovoltaic generators, which depend on the weather conditions and climate change this affects the microgrid stability by considered fluctuation in frequency and power deviations which can be improved using the selected controller. The fractional-order controller has five parameters in comparison with the classical PID controller, and that makes it more flexible and robust against the microgrid perturbation. The Fractional Order PID controller parameters are optimized using a new optimization technique called Krill Herd which selected as a suitable optimization method in comparison with other techniques like Particle Swarm Optimization. The results show better performance of this system using the fractional order PID controller-based Krill Herd algorithm by eliminates the fluctuations in frequency and power deviation in comparison with the classical PID controller. The obtained results are compared with the fractional order PID controller optimized using Particle Swarm Optimization. The proposed system is simulated under nominal conditions and using the disconnecting of storage devices like battery and Flywheel system in order to test the robustness of the proposed methods and the obtained results are compared.M. RegadM. HelaimiR. TalebH. GabbarA. OthmanNational Technical University "Kharkiv Polytechnic Institute"articlemicrogridfrequency controlfopid controllerkrill herdparticle swarm optimizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 2, Pp 68-74 (2020)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	microgrid frequency control fopid controller krill herd particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	microgrid frequency control fopid controller krill herd particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971 M. Regad M. Helaimi R. Taleb H. Gabbar A. Othman OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM
description	Abstract. This paper investigates the use of fractional order Proportional, Integral and Derivative (FOPID) controllers for the frequency and power regulation in a microgrid power system. The proposed microgrid system composes of renewable energy resources such as solar and wind generators, diesel engine generators as a secondary source to support the principle generators, and along with different energy storage devices like fuel cell, battery and flywheel. Due to the intermittent nature of integrated renewable energy like wind turbine and photovoltaic generators, which depend on the weather conditions and climate change this affects the microgrid stability by considered fluctuation in frequency and power deviations which can be improved using the selected controller. The fractional-order controller has five parameters in comparison with the classical PID controller, and that makes it more flexible and robust against the microgrid perturbation. The Fractional Order PID controller parameters are optimized using a new optimization technique called Krill Herd which selected as a suitable optimization method in comparison with other techniques like Particle Swarm Optimization. The results show better performance of this system using the fractional order PID controller-based Krill Herd algorithm by eliminates the fluctuations in frequency and power deviation in comparison with the classical PID controller. The obtained results are compared with the fractional order PID controller optimized using Particle Swarm Optimization. The proposed system is simulated under nominal conditions and using the disconnecting of storage devices like battery and Flywheel system in order to test the robustness of the proposed methods and the obtained results are compared.
format	article
author	M. Regad M. Helaimi R. Taleb H. Gabbar A. Othman
author_facet	M. Regad M. Helaimi R. Taleb H. Gabbar A. Othman
author_sort	M. Regad
title	OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM
title_short	OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM
title_full	OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM
title_fullStr	OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM
title_full_unstemmed	OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM
title_sort	optimal frequency control in microgrid system using fractional order pid controller using krill herd algorithm
publisher	National Technical University "Kharkiv Polytechnic Institute"
publishDate	2020
url	https://doaj.org/article/54b1b14e7dc64c5298439a57074b6d7d
work_keys_str_mv	AT mregad optimalfrequencycontrolinmicrogridsystemusingfractionalorderpidcontrollerusingkrillherdalgorithm AT mhelaimi optimalfrequencycontrolinmicrogridsystemusingfractionalorderpidcontrollerusingkrillherdalgorithm AT rtaleb optimalfrequencycontrolinmicrogridsystemusingfractionalorderpidcontrollerusingkrillherdalgorithm AT hgabbar optimalfrequencycontrolinmicrogridsystemusingfractionalorderpidcontrollerusingkrillherdalgorithm AT aothman optimalfrequencycontrolinmicrogridsystemusingfractionalorderpidcontrollerusingkrillherdalgorithm
_version_	1718377739287789568

OPTIMAL FREQUENCY CONTROL IN MICROGRID SYSTEM USING FRACTIONAL ORDER PID CONTROLLER USING KRILL HERD ALGORITHM

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