Optimal pitch angle controller for DFIG-based wind turbine system using computational optimization techniques

Khurshid, A., Mughal, M.A., Othman, A., Al-Hadhrami, T. ORCID: 0000-0001-7441-604X, Kumar, H., Khurshid, I., Arshad, A. and Ahmad, J., 2022. Optimal pitch angle controller for DFIG-based wind turbine system using computational optimization techniques. Electronics, 11 (8): 1290.

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Abstract

With the advent of high-speed and parallel computing, the applicability of computational optimization in engineering problems has increased, with greater validation than conventional methods. Pitch angle is an effective variable in extracting maximum wind power in a wind turbine system (WTS). The pitch angle controller contributes to improve the output power at different wind speeds. In this paper, the pitch angle controller with proportional (P) and proportional-integral (PI) controllers is used. The parameters of the controllers are tuned by computational optimization techniques for a doubly-fed induction generator (DFIG)-based WTS. The study is carried out on a 9 MW DFIG based WTS model in MATLAB/SIMULINK. Two computational optimization techniques: particle swarm optimization (PSO), a swarm intelligence algorithm, and a genetic algorithm (GA), an evolutionary algorithm, are applied. A multi-objective, multi-dimensional error function is defined and minimized by selecting an appropriate error criterion for each objective of the function which depicts the relative magnitude of each objective in the error function. The results of the output power flow and the dynamic response of the optimized P and PI controllers are compared with the conventional P and PI controller in three different cases. It is revealed that the PSO-based controllers performed better in comparison with both the conventional controllers and the GA-based controllers.

Item Type: Journal article
Publication Title: Electronics
Creators: Khurshid, A., Mughal, M.A., Othman, A., Al-Hadhrami, T., Kumar, H., Khurshid, I., Arshad, A. and Ahmad, J.
Publisher: MDPI AG
Date: 2022
Volume: 11
Number: 8
Identifiers:
NumberType
10.3390/electronics11081290DOI
1538758Other
Rights: © This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 21 Apr 2022 09:34
Last Modified: 21 Apr 2022 09:34
URI: http://irep.ntu.ac.uk/id/eprint/46150

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