LASTOMO, DWI (2016) SIMULASI PENGENDALI SUDUT PITCH BLADE PADA TURBIN ANGIN DENGAN FLOWER POLLINATION ALGORITHM (FPA) UNTUK MENGOPTIMALKAN KONVERSI DAYA LISTRIK. Masters thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
2214201015-Master_theses.pdf - Published Version Download (1MB) | Preview |
Abstract
Telah dilakukan penelitian berupa simulasi untuk mengendalikan sudut pitch blade
pada turbin angin. Penelitian ini bermaksud untuk mengoptimalkan proses konversi daya
listrik. Pengendalian sudut pitch blade pada tubin angin dilakukan dengan PI-Contoller.
Nilai konstanta Kp dan Ki dari PI-Controller diperoleh secara optimal dengan algoritma
penyerbukan bunga (Flower Pollination Algorithm (FPA)).
Simulasi dilakukan dengan variasi kecepatan angin untuk memperoleh sudut pitch
blade yang optimal. Analisis yang digunakan adalah analisis kestabilan steady state untuk
memperoleh eigen value dan damping ratio. Sedangkan untuk analisis kestabilan transient
dilakukan analisis overshoot, settling time, rise time, dan parameter lainnya. Hasil parameter
dari simulasi dengan FPA, dibandingkan dengan coba-coba (manual tunning) dan Particle
Swarm Optimization (PSO). Semua simulasi dilakukan dengan simulink dan m.file dari
software matlab.
Berdasarkan hasil simulasi dan analisis, dapat disimpulkan bahwa sistem stabil steady
state karena memliliki nilai negatif untuk semua eigen value. Nilai damping ratio juga lebih
besar dari 0,05 yang menandakan sistem teredam dengan baik. Pada analisis transient baik
untuk frekuensi maupun sudut pitch blade, FPA memberikan respon settling time yang lebih
cepat dan overshoot yang lebih rendah jika dibandingkan dengan PSO dan manual tunning.
============================================================
A research of simulation pitch angle blade of wind turbine had been done. The
purpose of the research was to optimize the conversion of power. The controller of pitch
angle wind turbine was PI-Controller. The value of gain Kp and Ki was obtained optimally by
Flower Pollination Algorithm (FPA)
The simulation was done by using variation of wind speed to obtain the optimum
pitch angle blade. In this simulation, the steady state and trasient stability analysis were
applied. Damping ratio and eigen value were obtained to observe the steady state stability.
The paramater of transient stability such as: settling time, rise time, and overshoot etc. were
obtained by using manual tunning, FPA, and PSO. The parameters result of tunning were
compared. All the simulation run in simulink and m.file of matlab.
Based on the simulation and analsis result, it could be concluded that the system wes
stable steady state. It was shown by all real component of negative eigen value. The damping
ratio of the system was more than 0.05 and less than 1 so the system was damped well. In
transient analysis in pitch angle blade and rotor frequency, FPA gave the fastest settling time
and the lowest overshoot response than manual tunning and Particle Swarm Optimization
(PSO).
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTE 621.406 Las s |
| Uncontrolled Keywords: | sudut pitch blade, flower pollination algorithm, turbin angin |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Anis Wulandari |
| Date Deposited: | 04 Jan 2017 07:21 |
| Last Modified: | 27 Dec 2018 02:16 |
| URI: | http://repository.its.ac.id/id/eprint/1298 |
Actions (login required)
 |
View Item |