Date of Award


Publication Type

Master Thesis

Degree Name



Electrical and Computer Engineering

First Advisor

Narayan C Kar


AC Conduction Effects, Distributed Generation, Fault Detection, Induction Machines, Voltage Regulation, Wind Energy



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


Centralized generation is being supplemented or replaced fast by distributed generation, a new way of thinking about electricity generation, transmission and distribution. Understanding the significance and prospects of self-excited induction generators (SEIGs) in autonomous distributed wind power generation (ADWG), this thesis exclusively presents the following : 1) A developed dynamic model of SEIG developed using the conventional two-axis transformation technique, commonly known as Park's transformation. 2) A developed electromagnetic model of the AC conduction effects and the significance of incorporating them into the conventional two-axis model of the SEIG (improved mathematical model). 3) A comprehensive study of commercially available niche copper-rotor induction motor (CRIM) and conventional aluminum-rotor induction motor (ARIM) to be used as induction generators in the above application. 4) An experimental three phase short-circuit fault analysis in SEIGs for ADWG. 5) A novel low-cost embedded system based on Daubechies wavelet transforms and swarm intelligence technique for voltage regulation and fault detction in the above application.