Sakti, Nusantara Jaya (2020) Ekstraksi Daya Maksimum dengan Sensorless Supervisory Control Berbasis Algoritma Extemum Seeking pada Turbin Angin. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Indonesia memiliki potensi angin yang cukup besar. Tetapi kinerja turbin angin untuk mengekstraksi potensi angin secara signifikan dipengaruhi oleh sifat stokastik angin yang menyebabkan ketidakpastian dalam penangkapan energi sehingga dapat menyebabkan besar produksi daya berubah-ubah. Oleh karena itu, penelitian terbaru tentang kontrol turbin angin ini diutamakan berfokus pada ekstraksi daya maksimum. Salah satu cara maksimalisasi daya yaitu dengan menggunakan supervisory control yaitu sistem kontrol yang dapat menentukan set pointnya secara mandiri dan algoritma yang dapat digunakan adalah extremum seeking. Dilakukan penelitian mengenai bagaimana hasil daya dari sistem turbin angin menggunakan supervisory control berbasis algoritma extremum seeking control (ESC) dibandingkan dengan sistem turbin angin tanpa kontroler dan dengan algoritma perturbation and observation (P&O). Dari penelitian yang telah dilakukan, didapatkan bahwa algoritma extremum seeking control lebih baik digunakan daripada tanpa adanya kontroler dan algoritma perturbation and observation khususnya pada kecepatan angin rendah (4 dan 7 m/s) karena nilai daya yang dihasilkan lebih tinggi, tetapi masih lebih rendah daripada tanpa adanya kontroler dan algoritma perturbation and observation pada kecepatan angin tinggi (11m/s).
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Indonesia has a considerable potential for wind. But the performance of wind turbines to extract wind potential is significantly influenced by the stochastic nature of the wind which causes uncertainty in energy capture so that it can cause power production fluctuate. Therefore, the latest research on this wind turbine control is preferred focusing on maximum power extraction. One of the ways to maximize power is to use supervisory control which is a control system that can determine the set of the point independently and the algorithm that can be used is extremum seeking. A study conducted on how the power from the wind turbine system uses the supervisory control-based extremum seeking control algorithm compared to a system of wind-less turbine-turbines and with the perturbation and observation (P&O) algorithm. From the research that has been done, the extremum seeking control algorithm is better used than without the control and perturbation and observation algorithms, especially at low wind speeds (4 and 7 m/s) due to the higher value of power generated, but still lower than without the control and perturbation and observation algorithms at high wind speeds (11 m/s).
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSF 621.313 Sak e-1 2020 |
| Uncontrolled Keywords: | Ekstraksi Daya Maksimum, Extremum Seeking Control, Perturbation and Observation, Supervisory Control, Turbin Angin. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Nusantara Jaya Sakti |
| Date Deposited: | 06 Mar 2025 07:03 |
| Last Modified: | 06 Mar 2025 07:03 |
| URI: | http://repository.its.ac.id/id/eprint/74534 |
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