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Black widow optimization-based optimal PI-controlled wind turbine emulator

Premkumar, K, Vishnupriya, M, Babu, TS, Manikandan, BV, Thamizhselvan, T, Ali, AN, Islam, MR, Kouzani, Abbas and Parvez Mahmud, MA 2020, Black widow optimization-based optimal PI-controlled wind turbine emulator, Sustainability, vol. 12, no. 24, Special Issue: Technological Advancements for Global Energy Sustainability: Role of Energy Storage, Power Converter, and Control, pp. 1-19, doi: 10.3390/su122410357.

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Title Black widow optimization-based optimal PI-controlled wind turbine emulator
Author(s) Premkumar, K
Vishnupriya, M
Babu, TS
Manikandan, BV
Thamizhselvan, T
Ali, AN
Islam, MR
Kouzani, AbbasORCID iD for Kouzani, Abbas orcid.org/0000-0002-6292-1214
Parvez Mahmud, MA
Journal name Sustainability
Volume number 12
Issue number 24
Season Special Issue: Technological Advancements for Global Energy Sustainability: Role of Energy Storage, Power Converter, and Control
Article ID 10357
Start page 1
End page 19
Total pages 19
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2020
ISSN 2071-1050
Keyword(s) BAT algorithm
black widow optimization algorithm
genetic algorithm
particle swarm optimization
proportional-integral (PI) controller
wind turbine emulator
Summary In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system.
Language eng
DOI 10.3390/su122410357
Indigenous content off
Field of Research 12 Built Environment and Design
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147024

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.