A new coordinated fuzzy controller for exciter and governor systems of a SMIB power system

2014 ◽  
Author(s):  
F. Mayouf ◽  
F. Djahli ◽  
A. Mayouf ◽  
T. Devers
Keyword(s):  
Power System ◽  
Fuzzy Controller

Deadbeat–fuzzy controller for the power control of a Doubly Fed Induction Generator based wind power system

2019 ◽  
Vol 88 ◽  
pp. 258-267 ◽  
Author(s):  
C.M. Rocha-Osorio ◽  
J.S. Solís-Chaves ◽  
Lucas L. Rodrigues ◽  
J.L. Azcue Puma ◽  
A.J. Sguarezi Filho
Keyword(s):  
Power System ◽  
Power Control ◽  
Wind Power ◽  
Fuzzy Controller ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Wind Power System ◽  
Doubly Fed

scholarly journals Hybrid Fuzzy Load Frequency Controller for a Two Area Interconnected Power System

2012 ◽  
pp. 278-282
Author(s):  
U. Prasad ◽  
P.K. Mohanty ◽  
P.K. Chattopadhyaya ◽  
C.K. Panigrahi
Keyword(s):  
Power System ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Strategies ◽  
Automatic Generation ◽  
Dynamic Responses ◽  
System Stability ◽  
Interconnected Power System ◽  
Stability Issues ◽  
System Frequency

This work addresses the special requirements of Automatic Generation Control in Modern interconnected Power system. In order to track the system frequency and handling the power system stability issues many control strategies has been suggested by the researchers .A new Hybrid fuzzy approach is introduced here .Fuzzy Logic controller with Mamdani interface having five member ship functions is tested with the Thermal Thermal and hydro thermal system Further hybrid Fuzzy controller is also tested with the same system and results are compared for the both The system Which is having Hybrid Fuzzy concept and thereby the response of frequency and tie line power can be improved substantially following a load change in any area. Further dynamic responses for small perturbation have been observed, considering HFLC and integral controller and the results of both have been compared.

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

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2125
Author(s):  
Ali Dokht Shakibjoo ◽  
Mohammad Moradzadeh ◽  
Seyed Zeinolabedin Moussavi ◽  
Lieven Vandevelde
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Back Propagation ◽  
Internal Model Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Model Control

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.

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