Voltage regulation of self-excited induction generator by using switching capacitor
2019
0 views
0 downloads
Advisor: Doç. Dr. Hayri Arabacı
Abstract (EN)
In this study, voltage regulation of the self-excited asynchronous generator was carried out by capacitor switching. In order to ensure the voltage regulation, the capacitors of the asynchronous generator are connected in triangular-parallel with different values and these capacitors are switched on and off with the help of relays. The required minimum capacitor value and increment values were determined by calculating from the free and short circuit tests. In the experimental study, the value of the capacitor to be connected to the asynchronous generator was calculated by ANFIS and least squares method and these two methods were compared. The ANFIS method with low error rate was chosen and was carried out with a microcontroller. With the ANFIS based control system, voltage regulation of the asynchronous generator is automatically performed.
Author
Dr. Ersin Selçuk
Institution
How to Cite
Ersin Selçuk (Master Thesis). Voltage regulation of self-excited induction generator by using switching capacitor, 2019, Konya Technical University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Konya Technical University
- Numerical and experimental in vestigation of optimization of Pelton turbine rotor design parameters in micro turbine size(2018)
- Comparison of some manufacturing costs according to various analysis parameters and other regulations of reinforced concrete structures with different floor systems(2018)
- The use of silica fume in self-compacting concretes affects the concrete compressive strength and adherence(2018)
- Load-bearing carrier system properties in the historical buildings repair and strengthening techniques for damages model analysis of Zenburi masjid(2018)
- Lateral rigidity improvement of deficient reinforced concrete structures with the use of user friendly systems(2018)
- Application of artificial intelligence methods to estimate monthly pan evaporation using meteorological data(2018)
