dor_id: 45653

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351.#.#.b: Journal of Applied Research and Technology

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100.1.#.a: Murali, D.; Rajaram, M.

524.#.#.a: Murali, D., et al. (2013). Use of ANFIS Control Approach for SSSC based Damping Controllers Applied in a Two-area Power System. Journal of Applied Research and Technology; Vol. 11 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/45653

245.1.0.a: Use of ANFIS Control Approach for SSSC based Damping Controllers Applied in a Two-area Power System

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2013

264.#.1.c: 2013-12-01

653.#.#.a: ANFIS; FACTS; low frequency electromechanical oscillations; MATLAB/SIMULINK; SSSC

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041.#.7.h: eng

520.3.#.a: In an interconnected power system, low frequency electromechanical oscillations are initiated by normal smallchanges in system loads, and they become much worse following a large disturbance. Flexible AC TransmissionSystem (FACTS) devices are widely recognized as powerful controllers for damping power system oscillations. Thestandard FACTS controllers are linear controllers which may not guarantee acceptable performance or stability in theevent of a major disturbance. To overcome the drawbacks of conventional controllers, ANFIS (Adaptive Neuro-FuzzyInference System) control scheme has been developed in this paper, and it has been applied for the externalcoordinated control of series connected FACTS controllers known as Static Synchronous Series Compensators(SSSCs) employed in a two-area power system. In neuro-fuzzy control method, the simplicity of fuzzy systems andthe ability of training in neural networks have been combined. The training data set the parameters of membershipfunctions in fuzzy controller. This ANFIS can track the given input-output data in order to conform to the desiredcontroller. Simulation studies carried out in MATLAB/SIMULINK environment demonstrate that the proposed ANFISbased SSSC controller shows the improved damping performance as compared to conventional SSSC baseddamping controllers under different operating conditions.

773.1.#.t: Journal of Applied Research and Technology; Vol. 11 Núm. 6

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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doi: https://doi.org/10.1016/S1665-6423(13)71596-7

harvesting_date: 2023-11-08 13:10:00.0

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last_modified: 2024-03-19 14:00:00

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Artículo

Use of ANFIS Control Approach for SSSC based Damping Controllers Applied in a Two-area Power System

Murali, D.; Rajaram, M.

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Murali, D., et al. (2013). Use of ANFIS Control Approach for SSSC based Damping Controllers Applied in a Two-area Power System. Journal of Applied Research and Technology; Vol. 11 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/45653

Descripción del recurso

Autor(es)
Murali, D.; Rajaram, M.
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Use of ANFIS Control Approach for SSSC based Damping Controllers Applied in a Two-area Power System
Fecha
2013-12-01
Resumen
In an interconnected power system, low frequency electromechanical oscillations are initiated by normal smallchanges in system loads, and they become much worse following a large disturbance. Flexible AC TransmissionSystem (FACTS) devices are widely recognized as powerful controllers for damping power system oscillations. Thestandard FACTS controllers are linear controllers which may not guarantee acceptable performance or stability in theevent of a major disturbance. To overcome the drawbacks of conventional controllers, ANFIS (Adaptive Neuro-FuzzyInference System) control scheme has been developed in this paper, and it has been applied for the externalcoordinated control of series connected FACTS controllers known as Static Synchronous Series Compensators(SSSCs) employed in a two-area power system. In neuro-fuzzy control method, the simplicity of fuzzy systems andthe ability of training in neural networks have been combined. The training data set the parameters of membershipfunctions in fuzzy controller. This ANFIS can track the given input-output data in order to conform to the desiredcontroller. Simulation studies carried out in MATLAB/SIMULINK environment demonstrate that the proposed ANFISbased SSSC controller shows the improved damping performance as compared to conventional SSSC baseddamping controllers under different operating conditions.
Tema
ANFIS; FACTS; low frequency electromechanical oscillations; MATLAB/SIMULINK; SSSC
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces