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A novel technique for load frequency control of multi-area power systems

(2020) ENERGIES. 13(9).
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Abstract
In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency of a two-area power system based on descending gradient training and error back-propagation. The dynamics of the system are completely uncertain. The multilayer perceptron (MLP) artificial neural network structure is used to extract Jacobian and estimate the system model, and then, the estimated model is applied to the controller, online. A proportional–derivative (PD) controller is added to the type-2 fuzzy controller, which increases the stability and robustness of the system against disturbances. The adaptation, being real-time and independency of the system parameters are new features of the proposed controller. Carrying out simulations on New England 39-bus power system, the performance of the proposed controller is compared with the conventional PI, PID and internal model control based on PID (IMC-PID) controllers. Simulation results indicate that our proposed controller method outperforms the conventional controllers in terms of transient response and stability.
Keywords
MLP, type-2 fuzzy, LFC, two-area power system, AUTOMATIC-GENERATION CONTROL, FUZZY PID CONTROLLER, DESIGN, AGC

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Citation

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MLA
Dokht Shakibjoo, Ali, et al. “A Novel Technique for Load Frequency Control of Multi-Area Power Systems.” ENERGIES, vol. 13, no. 9, 2020.
APA
Dokht Shakibjoo, A., Moradzadeh, M., Moussavi, S. Z., & Vandevelde, L. (2020). A novel technique for load frequency control of multi-area power systems. ENERGIES, 13(9).
Chicago author-date
Dokht Shakibjoo, Ali, Mohammad Moradzadeh, Seyed Zeinolabedin Moussavi, and Lieven Vandevelde. 2020. “A Novel Technique for Load Frequency Control of Multi-Area Power Systems.” ENERGIES 13 (9).
Chicago author-date (all authors)
Dokht Shakibjoo, Ali, Mohammad Moradzadeh, Seyed Zeinolabedin Moussavi, and Lieven Vandevelde. 2020. “A Novel Technique for Load Frequency Control of Multi-Area Power Systems.” ENERGIES 13 (9).
Vancouver
1.
Dokht Shakibjoo A, Moradzadeh M, Moussavi SZ, Vandevelde L. A novel technique for load frequency control of multi-area power systems. ENERGIES. 2020;13(9).
IEEE
[1]
A. Dokht Shakibjoo, M. Moradzadeh, S. Z. Moussavi, and L. Vandevelde, “A novel technique for load frequency control of multi-area power systems,” ENERGIES, vol. 13, no. 9, 2020.
@article{8659851,
  abstract     = {In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency of a two-area power system based on descending gradient training and error back-propagation. The dynamics of the system are completely uncertain. The multilayer perceptron (MLP) artificial neural network structure is used to extract Jacobian and estimate the system model, and then, the estimated model is applied to the controller, online. A proportional–derivative (PD) controller is added to the type-2 fuzzy controller, which increases the stability and robustness of the system against disturbances. The adaptation, being real-time and independency of the system parameters are new features of the proposed controller. Carrying out simulations on New England 39-bus power system, the performance of the proposed controller is compared with the conventional PI, PID and internal model control based on PID (IMC-PID) controllers. Simulation results indicate that our proposed controller method outperforms the conventional controllers in terms of transient response and stability.},
  articleno    = {2125},
  author       = {Dokht Shakibjoo, Ali and Moradzadeh, Mohammad and Moussavi, Seyed Zeinolabedin and Vandevelde, Lieven},
  issn         = {1996-1073},
  journal      = {ENERGIES},
  keywords     = {MLP,type-2 fuzzy,LFC,two-area power system,AUTOMATIC-GENERATION CONTROL,FUZZY PID CONTROLLER,DESIGN,AGC},
  language     = {eng},
  number       = {9},
  pages        = {19},
  title        = {A novel technique for load frequency control of multi-area power systems},
  url          = {http://dx.doi.org/10.3390/en13092125},
  volume       = {13},
  year         = {2020},
}

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