Mission-Profile Based Design of a Hybrid-Grids Feeding Smart Transformer

Author(s):  
Johannes Kuprat ◽  
Joscha Schaumburg ◽  
Marius Langwasser ◽  
Marco Liserre
Keyword(s):  
1995 ◽  
Author(s):  
James Hengle ◽  
David Detwiler, F, Jr
Keyword(s):  

2021 ◽  
Author(s):  
Anil Yildirim ◽  
Justin S. Gray ◽  
Charles A. Mader ◽  
Joaquim R. R. A. Martins

2021 ◽  
Vol 184 ◽  
pp. 106078
Author(s):  
Michele Mattetti ◽  
Mirko Maraldi ◽  
Nicola Lenzini ◽  
Stefano Fiorati ◽  
Eugenio Sereni ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 324
Author(s):  
Carmelo Barbagallo ◽  
Santi Agatino Rizzo ◽  
Giacomo Scelba ◽  
Giuseppe Scarcella ◽  
Mario Cacciato

This work presents a step-by-step procedure to estimate the lifetime of discrete SiC power MOSFETs equipping three-phase inverters of electric drives. The stress of each power device when it is subjected to thermal jumps from a few degrees up to about 80 °C was analyzed, starting from the computation of the average power losses and the commitment of the electric drive. A customizable mission profile was considered where, by accounting the working conditions of the drive, the corresponding average power losses and junction temperatures of the SiC MOSFETs composing the inverter can be computed. The tool exploits the Coffin–Manson theory, rainflow counting, and Miner’s rule for the lifetime estimation of the semiconductor power devices. Different operating scenarios were investigated, underlying their impact on the lifetime of SiC MOSFETs devices. The lifetime estimation procedure was realized with the main goal of keeping limited computational efforts, while providing an effective evaluation of the thermal effects. The method enables us to set up any generic mission profile from the electric drive model. This gives us the possibility to compare several operating scenario of the drive and predict the worse operating conditions for power devices. Finally, although the lifetime estimation tool was applied to SiC power MOSFET devices for a general-purpose application, it can be extended to any type of power switch technology.


Author(s):  
Fabio Ferrari ◽  
Vittorio Franzese ◽  
Mattia Pugliatti ◽  
Carmine Giordano ◽  
Francesco Topputo
Keyword(s):  

2005 ◽  
Vol 39 (2) ◽  
pp. 39-46 ◽  
Author(s):  
Kent Davey

This document outlines an optimization to define the size of the components in the power train of an electric ship, specifically one appropriate for an 80 MW Destroyer. The objective is to minimize the volume of the system, including the fuel. The size, number and speed of the gas turbines, the electric generators, and the power electronics are considered as unknowns in the analysis. At the heart of the procedure is the power mission profile. The gas turbine is by far the most important component in terms of influence on system volume. Integral to its selection is the specific fuel consumption as a function of power and turbine size. The proposed procedure outlines a nested optimization to define both the best spread of turbines as well as the proper scheduling with load demand. Including fuel in the system volume is the key to meaningful component identification. The optimized design has a system volume 603.5 m3 smaller than the base configuration, assuming both systems employ load scheduling among turbines. An optimized design can save as much as 600 m3.


1978 ◽  
Author(s):  
E. JAMES ◽  
R. VETRONE ◽  
R. BECHTEL

2014 ◽  
Vol 54 (9-10) ◽  
pp. 1655-1660 ◽  
Author(s):  
N.C. Sintamarean ◽  
H. Wang ◽  
F. Blaabjerg ◽  
P.de P. Rimmen

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