The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This article presents an enhanced modeling framework for the design of power electronics converters and systems. This methodology provides the means to assess and quantify the predictive accuracy of power converter models, a capability that is attained by the proper identification, characterization, and quantification of the different, and often numerous, sources of uncertainty in the modeling and...
This paper presents a design methodology with uncertainty quantification to estimate the required margin for two main design variables in a modular multilevel converter (MMC). In this methodology, the minimum required design margins are calculated by quantifying all sources of uncertainty in the modeling and simulation of MMCs. To this end, an enhanced modeling framework is presented to take into...
The Medium Voltage dc (MVDC) distribution is actively being sought as the eventual structure for the next-generation shipboard electrical power systems and the Modular Multilevel Converter (MMC) has become a preferred choice for MVDC systems. However, the fault response is a big challenge for both the shipboard MVDC system and the MMC. A fault current control is proposed to work with MMCs composed...
The performance of power electronic converters is sensitive to main design variables such as topology, control algorithm, and modulation scheme as well as details such as manufacturing variability. In this paper, sensitivity index is introduced as an indicator of design quality to measure converter robustness in the presence of manufacturing uncertainty. This paper presents the design and optimization...
The deviation of real system behavior from the predictions made from modeling and simulation is inevitable due to variations in different model input parameters as well as inaccurate modeling. The potential sources of uncertainty in modular multilevel converters (MMCs) is significant in medium- and high-voltage applications where each arm consists of several power electronics building blocks (PEBBs)...
The Modular Multilevel Converter (MMC) is a promising converter choice for Medium Voltage DC (MVDC) distribution systems, where SiC devices can be readily adopted taking full advantage of this semiconductor's properties. Specifically, 1.7 kV SiC MOSFETs are used to build 1kV modules operating at 100 kHz, thus eliminating the need to use multiple modules to generate a high equivalent switching frequency...
This paper presents a systematic study of the busbar design and optimization for SiC-based H-bridge power electronics building block (PEBB) used in high-frequency and high-power applications. Step-by-step guidelines are presented in which the design considerations and analysis are given. This paper presents a double-sided busbar concept to create a compact PEBB design with improved thermal and switching...
This paper predicts the behavior of a high-switching frequency SiC-based modular power converter based on low-power validation experiments. Switching model of the modular power converter is developed and low-power validation experimental results are provided. Different sources of uncertainties causing the deviation of the modeling and simulation results from the real system behavior are identified,...
This paper employs the sensitivity analysis technique to develop a modular multilevel converter (MMC) model that provides a guide for how the design should be carried out. There are several design criteria that it is necessary to take into account when designing a converter. In the case of the MMC, these criteria are a function of many variables. The sensitivity analyses guide the modeling effort,...
A discrepancy between simulation and experimental results is inevitable due to their different sources of uncertainty, which are not usually incorporated at an early design stage. Therefore, design margins are used for design variables in order to generate reliable modeling and simulation-based designs. These margins are generally estimated using heuristic safety factors. In this paper, a design margin...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.