Power system stabilizer design: Interval type-2 fuzzy logic controller approach

Panda, Manoj Kumar; Pillai, G. N.; Kumar, Vijay

doi:10.1109/icpces.2012.6508097

Cited by 9 publications

(21 citation statements)

References 27 publications

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“…T2FS introduces extra degrees of freedom during the design procedures of fuzzy systems which help the designer to deal with the additional uncertainties originated from the various types of noises and their adverse impacts on data communications and the ever-changing environments in a more resilient manner [18]. The membership function types of T2FS are like their conventional counterpart [19]. For instance, Gaussian T2FS is a fuzzy set having the grade of membership for every involving element is a gaussian type-1 fuzzy set [19].…”

Section: Fuzzy Controller Designmentioning

confidence: 99%

Stabilization of inter-area oscillations in two-area test system via centralized interval type-2 fuzzy-based dynamic brake control

Fayez

Mandor

Elhadidy

et al. 2021

Journal of Electrical Systems and Inf Technol

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Inter-area oscillations are, by far, the most detrimental oscillation category to the integrity of synchronously interconnected power systems. Inter-area oscillations are characterized by the inherent weak damping. The inherent poor damping associated with the inter-area oscillations leaves open wide probabilities for irrevocable widespread blackouts with the consequent eventual devastating outcomes measured in terms of the huge economic casualties and the possible human fatalities. The main purpose of this work is to mitigate inter-area power oscillations. This article explores the effectiveness of dual thyristor controlled braking resistor units with Interval Type-2 fuzzy-based centralized architecture for neutralizing the jeopardy of inter-area power oscillations in Kundur’s two-area test system using MATLAB™/Simulink environment. The effectiveness of the proposed scheme is examined by considering four case studies with different degrees of severity. The simulation results show that the proposed scheme is simple yet effective in treating the inter-area oscillations appropriately under the considered case studies.

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Section: Fuzzy Controller Designmentioning

confidence: 99%

Stabilization of inter-area oscillations in two-area test system via centralized interval type-2 fuzzy-based dynamic brake control

Fayez

Mandor

Elhadidy

et al. 2021

Journal of Electrical Systems and Inf Technol

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“…Power system stabilizer (PSS) berbasis IT2 controller logika fuzzy digunakan untuk memperbaiki stabilitas STL untuk beberapa kondisi operasi. PSS berbasis pada IT2 fuzzy logic diterapkan pada STL karena mempunyai kelebihan yaitu mampu mengatasi ketidakpastian dan ketidakakuratan dari operasi STL [7]- [8]. Penggunaan PSS berbasis-IT2 fuzzy yang ditala secara optimum dengan metode tracking H-infinity telah mampu memperbaiki stabilitas secara signifikan [9].…”

Section: Pendahuluanunclassified

Desain Power System Stabilizer Berbasis Fuzzy Tipe-2 untuk Perbaikan Stabilitas Mesin Tunggal

Ginarsa

Muljono

Nrartha

et al. 2018

JRE

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“…The block diagram of an IT2FL is shown in figure 2. The principle of working of the IT2FL is very much similar to the IT1FL [1].…”

Section: Interval Type-2 Fuzzy Logic Systemmentioning

confidence: 99%

“…of membership functions. Thus a type-2 fuzzy logic set is able to model more complex input-output relationships than its type-1 counterparts and thus can give better control response [1].…”

Section: Type Reducer and Defuzzifiermentioning

confidence: 99%

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An interval type-2 fuzzy logic PSS with the optimal H<inf>∞</inf> tracking control for multi-machine power system

Meziane

Boumhidi

2015

2015 Intelligent Systems and Computer Vision (ISCV)

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The aim of this paper is to design a nonlinear robust controller for a multi-machine power system. The optimal H∞ tracking control combined with the interval type-2 fuzzy logic control as a power system stabilizer is proposed in this study. The type-2 fuzzy logic based on interval value sets is capable for modeling the uncertainty and imprecision and to overcome the drawbacks of the conventional PSS. The optimal H∞ tracking control guarantees the convergence of the errors to the neighborhood of zero. The objective of the proposed method is to enhance the stability and the dynamic response of the multimachine power system in different operating conditions. In order to test the effectiveness of the proposed method, the simulation results show the damping of the oscillations of the angle and angular speed with reduced overshoots and quick settling time. Keywords-multi-machine power syste; Interval type-2 fuzzy logic; power System Stabilizer; H∞ tracking control.I.978-1-4799-7511-2/15/$31.00 ©2015 IEEE

show abstract

Power system stabilizer design: Interval type-2 fuzzy logic controller approach

Cited by 9 publications

References 27 publications

Stabilization of inter-area oscillations in two-area test system via centralized interval type-2 fuzzy-based dynamic brake control

Stabilization of inter-area oscillations in two-area test system via centralized interval type-2 fuzzy-based dynamic brake control

Desain Power System Stabilizer Berbasis Fuzzy Tipe-2 untuk Perbaikan Stabilitas Mesin Tunggal

An interval type-2 fuzzy logic PSS with the optimal H<inf>∞</inf> tracking control for multi-machine power system

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Power system stabilizer design: Interval type-2 fuzzy logic controller approach

Cited by 9 publications

References 27 publications

Stabilization of inter-area oscillations in two-area test system via centralized interval type-2 fuzzy-based dynamic brake control

Stabilization of inter-area oscillations in two-area test system via centralized interval type-2 fuzzy-based dynamic brake control

Desain Power System Stabilizer Berbasis Fuzzy Tipe-2 untuk Perbaikan Stabilitas Mesin Tunggal

An interval type-2 fuzzy logic PSS with the optimal H<inf>&#x221E;</inf> tracking control for multi-machine power system

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An interval type-2 fuzzy logic PSS with the optimal H<inf>∞</inf> tracking control for multi-machine power system