Implementasi Supervisory Control untuk Pengendalian Kecepatan Turbin Angin menggunakan Metode Direct Torque Control berbasis Buck Converter

Wijaya, Deden Mahendra (2019) Implementasi Supervisory Control untuk Pengendalian Kecepatan Turbin Angin menggunakan Metode Direct Torque Control berbasis Buck Converter. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

[img] Text
02311540000006_Undergraduate_Theses.pdf - Accepted Version
Restricted to Repository staff only until 1 October 2023.

Download (7MB) | Request a copy

Abstract

Kinerja turbin angin dipengaruhi oleh banyak faktor, salah satunya adalah adanya sifat stokastik angin. Adanya variasi kcepatan angin mengakibatkan daya listrik yang dihasilkan turbin tidak stabil dan maksimum yang diakibatkan kecepatan putar rotor yang tidak berada di daerah optimalnya. Kecepatan rotor dapat dikendalikan dengan cara memanipulasi torsi dari generator, metode ini disebut Direct Torque Control (DTC). Dalam hal itu, dibutuhkan DC-DC converter sebagai aktuator pengendaliannya. Pada Penelitian ini dilakukan perancangan supervisory control berbasis buck converter pada turbin angin HAWT. Supervisory control tersusun dari dua buah loop kontrol yang tersusun secara cascade serta algoritma extremum seeking sebagai supervisory level. Primary loop menggunakan mode kontrol proportional integral dengan proportional gain sebesar 100 dan integral gain sebesar 50 sedangkan pada secondary loop menggunakan mode kontrol proportional dengan proportional gain sebesar 0,03. Buck converter bekerja pada switching frequency 20 KHz dan yang tersusun dari resistor sebesar 0,1 Ω, kapasitor sebesar 5000×〖10〗^(-6) F, dan induktor sebesar 5000×〖10〗^(-6) H. Supervisory control yang telah dirancang mampu mempertahankan nilai koefisien daya turbin pada nilai maksimum dengan daya ouput turbin sebesar 75 watt pada kecepatan angin 9 m/s. Dari simulasi dapat juga diketahui bahwa bahwa Supervisory control berhasil memberikan koefisien daya yang lebih besar dibanding kontroler MPPT untuk kecepatan angin rendah. Akan tetapi buck converter memberikan nilai koefisien daya yang lebih kecil bila dibandingkan dengan boost converter. ================================================================================================ The performance of wind turbine is influenced by many factors, one of them is stochastic wind characteristic. The variation of wind speed causes electric power produced by the turbine to be unstable and not maximum due to the rotational speed of the rotor which is not in its optimal area. Rotor speed can be controlled by manipulating torque of the generator, this method is called Direct Torque Control (DTC). Therefore, a DC-DC converter is needed as control actuator. This research design supervisory control based on buck converter on HAWT wind turbines. Supervisory control is consists of cascade control and extremum seeking algorithm as supervisory level. Primary loop use control mode proportional integral with proportional gain of 100 and integral gain of 50, while the secondary loop use proportional with proportional gain of 0.03. While buck converter works on 20 KHz switching frequency and consists of 0.1 Ω resistors, 5000×〖10〗^(-6) F capacitors and 5000×〖10〗^(-6) H Inductors. The design of Supervisory control is capable to preserve the turbine power coefficient value at maximum value with a turbine output power of 75 watts at 9 m / s wind speed. From the simulation, can be known that Supervisory control are succeeded in providing a greater power coefficient compared to the MPPT controller in low wind speeds. However, the buck converter provides smaller power coefficient compared to the boost converter.

Item Type: Thesis (Undergraduate)
Additional Information: RSF 621.406 Wij i-1 2019
Uncontrolled Keywords: Supervisory control, extremum seeking, MPPT, turbin angin, buck converter
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission
T Technology > T Technology (General) > T57.62 Simulation
T Technology > T Technology (General) > T58.8 Productivity. Efficiency
T Technology > TJ Mechanical engineering and machinery > TJ1058 Rotors
T Technology > TJ Mechanical engineering and machinery > TJ217.6 Predictive Control
T Technology > TJ Mechanical engineering and machinery > TJ222 Supervisory control systems.
T Technology > TJ Mechanical engineering and machinery > TJ820 Wind power
T Technology > TJ Mechanical engineering and machinery > TJ828 Wind turbines
T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2797 Motor-generator sets. Cascade
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK531 Current and voltage waveforms
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electric current converters, Electric inverters.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electromagnetic Devices
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.5 Modulation (Electronics), Demodulation (Electronics)
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL574.C3 Cascade
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: DEDEN MAHENDRA WIJAYA
Date Deposited: 29 Nov 2021 21:19
Last Modified: 29 Nov 2021 21:19
URI: https://repository.its.ac.id/id/eprint/61586

Actions (login required)

View Item View Item