This paper proposes a new method to detect transformer inside incipient fault current using transformer internal parameters to determine the inside structure of transformer at good condition or bad. A transformer model was established by Jiles– Atherton theory using measured voltage and current and the initial parameters which were found using Genetic Algorithm (GA). Then, transformer internal ...

Due to their large power draws and increasing adoption rates, electric vehicles (EVs) will become a significant challenge for distribution grids. However, with proper charging control strategies, the can be mitigated without need expensive grid reinforcements. This article presents analyzes new distributed methods coordinate EV under nonlinear transformer temperature ratings. Specifically, we a...

This project develops and implements a safe, reliable method for contactless charging of electric vehicle batteries. The charging system's interface to the electric utility operates with unity power factor. This system accommodates many battery types by using a novel, large signal linear digital controller that can track arbitrary current profiles. Non-ohmic charging occurs through a two part, ...

In transformer fault diagnosis, dissolved gas analysis (DGA) is been widely employed for a long period and numerous methods have been innovated to interpret its results. Still in some cases it fails to identify the corresponding faults. Due to the limitation of training data and non-linearity, the estimation of key-gas ratio in the transformer oil becomes more complicated. This paper presents I...

Generation, transmission and distribution of electric energy are to be characterized by a very high degree of reliability. Reliability level is directly related to the quality of the equipment used and the periodic maintenance carried out on the system. In our country, the distribution system is the most neglected part, which is being given some importance only in the recent years. Distribution...