Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller

The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling (DMGS) of the proportion...

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Autores principales: Swati Rawat, Bhola Jha, Manoj Kumar Panda, Jyotshana Kanti
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:361f4007f12e40a5bb164c022fedf0062021-11-11T15:16:06ZInterval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller10.3390/app1121102172076-3417https://doaj.org/article/361f4007f12e40a5bb164c022fedf0062021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10217https://doaj.org/toc/2076-3417The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling (DMGS) of the proportional and integral controller in which the gains of the PI controller werescheduled through the dynamic selector. This proposed controller was implemented ina hybrid microgrid power system in which nonconventional energy sources wereadded to each area of the conventional power plant, which madethe system much more prone to frequency variations. The controller was designed for three areas, consisting of a photovoltaic (PV) system, a wind power system, a fuel cell and a diesel engine/hydropower generator in which the generation rate constraint (GRC) was considered as a nonlinearity. The proposed power system was investigated under various load conditions in the MATLAB/SIMULINK environment. A comparative evaluation of changes in frequency, tie-line power fluctuations and variations in area control errors for the test system showed the effectiveness of the current approach over simple fuzzy PI and a conventional PI-controlling approach.Swati RawatBhola JhaManoj Kumar PandaJyotshana KantiMDPI AGarticlerenewable powerinterval type-2 fuzzy logic control (IT2FLC)power consumption for transactionsdual-mode gain scheduling (DMGS)load frequency control (LFC)area control error (ACE)TechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10217, p 10217 (2021)
institution DOAJ
collection DOAJ
language EN
topic renewable power
interval type-2 fuzzy logic control (IT2FLC)
power consumption for transactions
dual-mode gain scheduling (DMGS)
load frequency control (LFC)
area control error (ACE)
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle renewable power
interval type-2 fuzzy logic control (IT2FLC)
power consumption for transactions
dual-mode gain scheduling (DMGS)
load frequency control (LFC)
area control error (ACE)
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Swati Rawat
Bhola Jha
Manoj Kumar Panda
Jyotshana Kanti
Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller
description The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling (DMGS) of the proportional and integral controller in which the gains of the PI controller werescheduled through the dynamic selector. This proposed controller was implemented ina hybrid microgrid power system in which nonconventional energy sources wereadded to each area of the conventional power plant, which madethe system much more prone to frequency variations. The controller was designed for three areas, consisting of a photovoltaic (PV) system, a wind power system, a fuel cell and a diesel engine/hydropower generator in which the generation rate constraint (GRC) was considered as a nonlinearity. The proposed power system was investigated under various load conditions in the MATLAB/SIMULINK environment. A comparative evaluation of changes in frequency, tie-line power fluctuations and variations in area control errors for the test system showed the effectiveness of the current approach over simple fuzzy PI and a conventional PI-controlling approach.
format article
author Swati Rawat
Bhola Jha
Manoj Kumar Panda
Jyotshana Kanti
author_facet Swati Rawat
Bhola Jha
Manoj Kumar Panda
Jyotshana Kanti
author_sort Swati Rawat
title Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller
title_short Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller
title_full Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller
title_fullStr Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller
title_full_unstemmed Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller
title_sort interval type-2 fuzzy logic control-based frequency control of hybrid power system using dmgs of pi controller
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/361f4007f12e40a5bb164c022fedf006
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AT bholajha intervaltype2fuzzylogiccontrolbasedfrequencycontrolofhybridpowersystemusingdmgsofpicontroller
AT manojkumarpanda intervaltype2fuzzylogiccontrolbasedfrequencycontrolofhybridpowersystemusingdmgsofpicontroller
AT jyotshanakanti intervaltype2fuzzylogiccontrolbasedfrequencycontrolofhybridpowersystemusingdmgsofpicontroller
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