Doubly Fed Induction Generator (DFIG) Modeling and Control of Active and Reactive Power Flow
| dc.contributor.advisor | Mengesha., Mamo | |
| dc.contributor.author | Estibel, Abeje | |
| dc.date.accessioned | 2021-11-24T07:39:49Z | |
| dc.date.accessioned | 2023-11-28T14:20:37Z | |
| dc.date.available | 2021-11-24T07:39:49Z | |
| dc.date.available | 2023-11-28T14:20:37Z | |
| dc.date.issued | 2021-10 | |
| dc.description.abstract | Recently, with a view to supplementing electricity obtained from traditional energy sources, the generation of energy from renewable energy sources has become increasingly important around the world. From the renewable energy sources, wind energy conversion system is the largest contributor to power generation system. It is one of the fastest growing renewable energy sources due to increasingly severe global environmental or climate problems, as well as rapidly growing fuel costs and electricity demand. Wind energy conversion systems using doubly-fed induction generators (DFIGs) are one of the most important types of generator, including grid-connected systems. Due to intermittent wind speed, the production of wind farms fluctuates. In energy conversation system using DFIG which directly connected to the grid, the changes in wind speed results the violation of voltage and frequency. This violation causes a system stability problem. This research work presents with the application of field-oriented control system for a decoupled control of the active and reactive powers flow by using fuzzy self- tuning PID controller. Controlling of power is essential to the stable operation of the power system through rotor side converter and grid side converter. The power control of the system due to vector control of dq- axis rotor currents result constant output stator voltage and frequency. The grid-side converter control provides a constant dc_ link voltage which used for source of generator rotor winding current. The simulation of power control DFIG was done on MATLAB/Simulink software and the result shows an improved performance in terms of settling time, overshoot and frequency deviation. The design of fuzzy tuning PID controller gives a transient response of with settling time 0.167 sec and overshoot 8.21%, and PID control also has settling time 0.204 sec and overshoot 27.3%. Then fuzzy-PID controller have improved time domain transient performance with respect to convectional PID controller for active and reactive power control. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/28926 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Rotor side converter | en_US |
| dc.subject | Grid side converter | en_US |
| dc.subject | DC-link voltage | en_US |
| dc.subject | Fuzzy self-tuning PID control | en_US |
| dc.title | Doubly Fed Induction Generator (DFIG) Modeling and Control of Active and Reactive Power Flow | en_US |
| dc.type | Thesis | en_US |