Abstract:
Accurate estimation of instantaneous flicker level (IFL) of the grid voltage is crucial for design and implementation of electrical devices. The grid voltage amplitude, frequency, and phase fluctuate from its nominal value due to flicker which can be estimated from its envelope. In the proposed technique, the enhanced phase locked loop (EPLL) is integrated with the Extended Kalman filter (EKF) to estimate flicker. An EPLL based algorithm is developed for extracting the grid voltage envelop and an EKF based algorithm is adopted for estimation of IFL.
In this thesis, a combination of EPLL with EKF is used to directly extract the IFL from the grid voltage. The developed EPLL-EKF technique has been tested in MATLAB environment for different types of imbalances and distortions. This system works perfectly even when the fundamental frequency or the flicker frequency is varying with time. This method is capable of handling non-linear variations of flicker where as other existing methods require modification.
Description:
All praise goes to the Almighty for giving us the drive to finish this thesis work in due time.
We would like to thank our thesis supervisor Dr. Md. Shamim Reza, Associate Professor, Department of Electrical and Electronic Engineering (EEE), Bangladesh University of Engineering and Technology (BUET), for giving us his precious time and generously helping us with his suggestions, ideas and providing well defined guidance throughout the thesis work. We are grateful to him for understanding us and giving us freedom to do things our way. In a way he pushed us so that we could reach our full potential and really exploit out capabilities and this also made our work more enjoyable and fruitful.
We would also like to thank our teachers of MIST for believing in us and giving us a chance to work with our thesis supervisor. They were very patient and understanding about our situations.
We would also like to thank our families. Without their love and support we couldn’t have finished the thesis work. They were a great source of encouragement in our work.
Finally, we are grateful to our friends and well-wishers who believed in us and gave us encouragement all throughout the thesis work.
