An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm

Frequency control in microgrids (MGs) during islanded operation faces significant challenges due to load fluctuations and the intermittent nature of renewable energy sources (RESs). To address this challenge, this study proposes an interval type-2 fuzzy fractional-order PD-PI (IT2FFOPD-PI) controlle...

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Main Authors: Siavash Shirali, Saeed Zolfaghari Moghaddam, Mortaza Aliasghary
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:International Journal of Electrical Power & Energy Systems
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Online Access:http://www.sciencedirect.com/science/article/pii/S014206152400646X
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author Siavash Shirali
Saeed Zolfaghari Moghaddam
Mortaza Aliasghary
author_facet Siavash Shirali
Saeed Zolfaghari Moghaddam
Mortaza Aliasghary
author_sort Siavash Shirali
collection DOAJ
description Frequency control in microgrids (MGs) during islanded operation faces significant challenges due to load fluctuations and the intermittent nature of renewable energy sources (RESs). To address this challenge, this study proposes an interval type-2 fuzzy fractional-order PD-PI (IT2FFOPD-PI) controller with the capability to reduce frequency deviations. Additionally, optimizing the controller parameters in dynamic systems is another critical issue, where traditional algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and sine cosine algorithm (SCA) often struggle with premature convergence and suboptimal solutions. To overcome these limitations, the cheetah optimizer (CO) is employed, for its superior global search capability, ability to avoid local optima, and simplicity, as it does not rely on complex mathematical formulations. Different scenarios are considered in which the effect of the proposed controller on network frequency changes has been compared with two other controllers, i.e., interval type-2 fuzzy fractional-order tilt integral derivative (IT2FFOTID) and interval type-2 fuzzy fractional-order proportional integral derivative (IT2FFOPID) using several optimization methods. Simulation results demonstrate approximately 58.6% and 54.3% improvement in integral time absolute error (ITAE) compared to other two controllers, respectively, in a combined scenario. The CO algorithm also achieves an optimal ITAE objective value of 0.0001092, outperforming other optimization techniques.
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issn 0142-0615
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spelling doaj-art-7f24713a45a447879b18bcfff42622f32025-01-19T06:23:59ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110422An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithmSiavash Shirali0Saeed Zolfaghari Moghaddam1Mortaza Aliasghary2Department of Electrical Engineering, Faculty of Industrial Technologies, Urmia University of Technology, Urmia, IranCorresponding author.; Department of Electrical Engineering, Faculty of Industrial Technologies, Urmia University of Technology, Urmia, IranDepartment of Electrical Engineering, Faculty of Industrial Technologies, Urmia University of Technology, Urmia, IranFrequency control in microgrids (MGs) during islanded operation faces significant challenges due to load fluctuations and the intermittent nature of renewable energy sources (RESs). To address this challenge, this study proposes an interval type-2 fuzzy fractional-order PD-PI (IT2FFOPD-PI) controller with the capability to reduce frequency deviations. Additionally, optimizing the controller parameters in dynamic systems is another critical issue, where traditional algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and sine cosine algorithm (SCA) often struggle with premature convergence and suboptimal solutions. To overcome these limitations, the cheetah optimizer (CO) is employed, for its superior global search capability, ability to avoid local optima, and simplicity, as it does not rely on complex mathematical formulations. Different scenarios are considered in which the effect of the proposed controller on network frequency changes has been compared with two other controllers, i.e., interval type-2 fuzzy fractional-order tilt integral derivative (IT2FFOTID) and interval type-2 fuzzy fractional-order proportional integral derivative (IT2FFOPID) using several optimization methods. Simulation results demonstrate approximately 58.6% and 54.3% improvement in integral time absolute error (ITAE) compared to other two controllers, respectively, in a combined scenario. The CO algorithm also achieves an optimal ITAE objective value of 0.0001092, outperforming other optimization techniques.http://www.sciencedirect.com/science/article/pii/S014206152400646XMGFrequency controlFractional orderInterval type-2 fuzzyCO algorithm
spellingShingle Siavash Shirali
Saeed Zolfaghari Moghaddam
Mortaza Aliasghary
An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm
International Journal of Electrical Power & Energy Systems
MG
Frequency control
Fractional order
Interval type-2 fuzzy
CO algorithm
title An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm
title_full An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm
title_fullStr An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm
title_full_unstemmed An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm
title_short An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm
title_sort interval type 2 fuzzy fractional order pd pi controller for frequency stabilization of islanded microgrids optimized with co algorithm
topic MG
Frequency control
Fractional order
Interval type-2 fuzzy
CO algorithm
url http://www.sciencedirect.com/science/article/pii/S014206152400646X
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