Adaptation of PI controller used with combination of perturbation and observation method and feedback method for DFIG

Adaptation of PI controller used with combination of perturbation and observation method and feedback method for DFIG

Due to the growing of electrical energy demand, wind energy is receiving much interest all over the world. This paper presents a new technique using fuzzy genetic algorithm, and ANFIS of the Optimization PI controller systems using different artificial Intelligent techniques is also included in this...

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Bibliographic Details
Published in:Electrical engineering Vol. 100; no. 2; pp. 1047 - 1058
Main Authors: Elnaghi, Basem E., Elkader, Fathy A., Ismail, Mohamed M., Kalas, Ahmed E.
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-06-2018
Springer Nature B.V
Subjects:
Computer simulation
Economics and Management
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Engineering
Fuzzy systems
Genetic algorithms
Original Paper
Power Electronics
Simulation
Wind power
Maximum power point tracking (MPPT)
PI
ANFIGS
Fuzzy
GA and PSO
P&Q method
DFIG
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Summary:Due to the growing of electrical energy demand, wind energy is receiving much interest all over the world. This paper presents a new technique using fuzzy genetic algorithm, and ANFIS of the Optimization PI controller systems using different artificial Intelligent techniques is also included in this paper. The model using P&Q method and FB method is implemented in MATLAB/SIMULINK. Simulation results show the feasibility and robustness of the new proposed techniques.
ISSN:0948-7921
1432-0487
DOI:10.1007/s00202-017-0565-8