Open Access
Design and Analysis of High Gain Quasi Y - Source Impedance Network
Author(s) -
Dvn Ananth,
D. M. N. Sai Chinna,
G. Sairam,
M. Naveen,
A. BhaskarRao,
B. Jagadeeswar Rao
Publication year - 2020
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset207237
Subject(s) - boosting (machine learning) , leakage inductance , duty cycle , converters , electronic engineering , electrical impedance , output impedance , transformer , voltage , high voltage , inductance , engineering , electrical engineering , computer science , machine learning
In this paper, performance of a high gain quasi Y-source impedance network converter is analysed. This converter has a high voltage gain while using a small duty ratio. Compared to other impedance source converters, Y-source converter operates with lower shoot-through duty cycle for the same boosting gain. To achieve that, a three windings transformer with very low leakage inductance is employed. In turn, the switching losses and heating are low at the same boosting gain. Moreover, in this type of converter, the boosting gain depends on number of variables, and hence more degrees of freedom for meeting design constraints. The voltage and current of the switching elements are analysed during shoot and non-shoot through. The analysis shows that for high boosting gain some components have high voltage stress compared to conventional converters. Moreover, fast switching diodes are required to achieve high boosting gain. The performance of the proposed converter is analysed using numerical simulation and experimental testing.