A Novel Technique for Load Frequency Control of Multi-Area Power Systems

Ali Dokht Shakibjoo, Mohammad Moradzadeh, Seyed Zeinolabedin Moussavi and Lieven Vandevelde
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Ali Dokht Shakibjoo: Electrical Engineering Department, Shahid Rajaee Teacher Training University, Tehran 1678815811, Iran
Mohammad Moradzadeh: Electrical Engineering Department, Shahid Rajaee Teacher Training University, Tehran 1678815811, Iran
Seyed Zeinolabedin Moussavi: Electrical Engineering Department, Shahid Rajaee Teacher Training University, Tehran 1678815811, Iran
Lieven Vandevelde: Department of Electromechanical, Systems and Metal Engineering, Ghent University, 9052 Ghent, Belgium

Energies, 2020, vol. 13, issue 9, 1-19

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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