Minimizing uncertainties with improved power system stability using wide area fuzzy-2 logic based damping controller

Sharma, Archi; Nagar, L. K.; Patidar, N. P.; Kolhe, Mohan Lal; Nandanwar, Sonali R.; Puranik, V. N.; Singh, V. K.

doi:10.1109/ciact.2017.7977284

Cited by 6 publications

(8 citation statements)

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“…Type-2 fuzzy logic becomes preferential choice for many researchers when there are control situations characterized by the difficulty of determining the appropriate membership function for a fuzzy set [19]. Controllers based on Type-2 fuzzy logic theory have been utilized for handling many power system problems as a superior alternative for conventional fuzzy logic controllers [20][21][22][23][24][25][26]. Many works of literature highlights approaches based on the Type-2 fuzzy logic theory to design intelligent power system stabilizers for damping slower type of oscillation [20,23].…”

Section: Fuzzy Controller Designmentioning

confidence: 99%

“…Controllers based on Type-2 fuzzy logic theory have been utilized for handling many power system problems as a superior alternative for conventional fuzzy logic controllers [20][21][22][23][24][25][26]. Many works of literature highlights approaches based on the Type-2 fuzzy logic theory to design intelligent power system stabilizers for damping slower type of oscillation [20,23]. Type-2 fuzzy logic is implemented to control a TCSC device to provide supplemental damping to the power system oscillations [24,25].…”

Section: Fuzzy Controller Designmentioning

confidence: 99%

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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%

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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show abstract

“…Type-2 fuzzy logic controllers have been employed for treating many power system dynamic problems as a far superior alternative to Type-1 fuzzy logic controllers [17][18][19][20][21][22]. In [17,19,20,22], Type-2 fuzzy logic controllers are implemented to design power system stabilizers for damping power system oscillations. In [18], Type-2 fuzzy logic controller is employed to control a Thyristor-Controlled Series Capacitor (TCSC) device to provide supplementary damping action to the low-frequency power system oscillations.…”

Section: Interval Type-2 Fuzzy Logic Controller Designmentioning

confidence: 99%

“…The structural block diagram of a Type-2 fuzzy logic controller is depicted in Figure 3 [16]. Many academic researchers have been devoting much of their attention on a less complicated version of Type-2 fuzzy logic controller known as Interval Type-2 fuzzy logic controller [22]. The degree of membership for each element of the fuzzified input in Interval Type-2 FLC is itself an interval-valued fuzzy set, unlike a Type-1 FLC in which the degree of membership is a crisp value lying between one and zero [23].…”

Section: Interval Type-2 Fuzzy Logic Controller Designmentioning

confidence: 99%

Stabilization of Inter-Area Oscillations in a Two-Area Test System via Interval Type-2 Fuzzy Based Dynamic Brake Control

Fayez

Mandor²,

Elhadidy³

et al. 2020

Elektrika

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Inter-area oscillations are, by far, the most detrimental to the synchronous integrity of interconnected power systems. This detriment comes from their wide frequency spectrum and the large numbers of the participant generators. 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. This article explores the influences of the Interval Type-2 fuzzy logic-based strategized dynamic braking interventions of dual brake models, namely Thyristor Controlled Braking Resistors (TCBRs), for neutralizing the jeopardy of negatively damped inter-area power oscillations in Kundur’s two-area test system, using MATLAB™/Simulink environment. The relative inner generator's speed deviation is employed in this work as a control signal to the proposed controller. The effectiveness of the proposed scheme is authenticated by considering four case studies with different severity degrees. By analyzing the performance repercussions due to four disturbances, without the implementation of the proposed scheme, the unstable nature of the system responses is clearly noticed. With the implementation of the proposed scheme, the system oscillatory behavior is stabilized in an appropriate manner. The performed comparative non-linear time-domain simulation results emphasize the great potential of the proposed scheme in mitigation of inter-area power oscillations according to the considered disturbances. The proposed scheme is simple yet effective in treating the inter-area oscillations appropriately under the considered case studies.

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“…A modern class of FLCs has emerged to the Artificial-Intelligence based control applications, namely, Interval Type-2 FLCs [17]. Interval Type-2 FLCs have been recently implemented for solving many power system dynamic problems as a more superior alternate for type-1 FLCs [17][18][19][20][21][22][23]. Interval Type-2 FLCs are based on the concept of Interval Type-2 Fuzzy Set (IT2 FS) which was first introduced to the academic community by Lotfi Zadeh in 1975 as a sequel to his traditional Type-1 fuzzy set (T1 FS) concept [24][25][26].…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

Torsional Oscillations Mitigation via Interval Type-2 Fuzzy Logic Brake Control

et al. 2020

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Turbine-generator shaft torsional oscillations is an interdisciplinary power system dynamic problem because it encompasses mechanical and electrical sectors of power grids. They give rise to a premature expenditure of fatigue life of the turbine-generator shaft metal which could lead to shaft cracks. This paper introduces an interval type-2 fuzzy logic controller to regularize the dynamic braking interventions of a novel braking resistor model for mitigation of torsional oscillations resulting from unsuccessful autoreclosure procedures near generation stations. The effectiveness of proposed scheme is elucidated by considering the unsuccessful autoreclosure of three-phase-to-ground fault in a single machine infinite bus power system via MATLAB/Simulink-based modeling and simulation environment with the help of interval type-2 fuzzy logic controller toolbox. The comparative simulation results with and without the suggested mitigation regime show that the proposed scheme is effective in the mitigation of torsional torque oscillations

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Minimizing uncertainties with improved power system stability using wide area fuzzy-2 logic based damping controller

Cited by 6 publications

References 0 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

Stabilization of Inter-Area Oscillations in a Two-Area Test System via Interval Type-2 Fuzzy Based Dynamic Brake Control

Torsional Oscillations Mitigation via Interval Type-2 Fuzzy Logic Brake Control

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