Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques
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 pi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/8/1290 |
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| author | Arsalan Khurshid Muhammad Ali Mughal Achraf Othman Tawfik Al-Hadhrami Harish Kumar Imtinan Khurshid Arshad Jawad Ahmad |
| author_facet | Arsalan Khurshid Muhammad Ali Mughal Achraf Othman Tawfik Al-Hadhrami Harish Kumar Imtinan Khurshid Arshad Jawad Ahmad |
| author_sort | Arsalan Khurshid |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T13:44:42Z |
| format | Article |
| id | doaj.art-e18a4f0726c04a4186c9235d4fb788b6 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T13:44:42Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-e18a4f0726c04a4186c9235d4fb788b62023-11-30T21:02:38ZengMDPI AGElectronics2079-92922022-04-01118129010.3390/electronics11081290Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization TechniquesArsalan Khurshid0Muhammad Ali Mughal1Achraf Othman2Tawfik Al-Hadhrami3Harish Kumar4Imtinan Khurshid5Arshad6Jawad Ahmad7Department of Electrical Engineering, Faculty of Engineering & Technology, HITEC University, Taxila 47080, PakistanDepartment of Electrical Engineering, Faculty of Engineering & Technology, HITEC University, Taxila 47080, PakistanMada Center, Doha 23264, QatarSchool of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UKDepartment of Computer Science, College of Computer Science, King Khalid University, Abha 61413, Saudi ArabiaDepartment of Computer Systems Engineering, UET Peshawar, Peshawar 25000, PakistanInstitute for Energy and Environment, University of Strathclyde, Glasgow G11 1XQ, UKSchool of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UKWith 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.https://www.mdpi.com/2079-9292/11/8/1290wind turbine systemdoubly-fed induction generatorparticle swarm optimization (PSO)genetic algorithm (GA)PI controllercomputational intelligence |
| spellingShingle | Arsalan Khurshid Muhammad Ali Mughal Achraf Othman Tawfik Al-Hadhrami Harish Kumar Imtinan Khurshid Arshad Jawad Ahmad Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques Electronics wind turbine system doubly-fed induction generator particle swarm optimization (PSO) genetic algorithm (GA) PI controller computational intelligence |
| title | Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques |
| title_full | Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques |
| title_fullStr | Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques |
| title_full_unstemmed | Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques |
| title_short | Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques |
| title_sort | optimal pitch angle controller for dfig based wind turbine system using computational optimization techniques |
| topic | wind turbine system doubly-fed induction generator particle swarm optimization (PSO) genetic algorithm (GA) PI controller computational intelligence |
| url | https://www.mdpi.com/2079-9292/11/8/1290 |
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