Non-Linear Behavioral Modeling for DC-DC Converters and Dynamic Analysis of Distributed Energy Systems

Non-Linear Behavioral Modeling for DC-DC Converters and Dynamic Analysis of Distributed Energy Systems

Abstract: In modern distributed energy systems (DES), focus is shifting from the conventional centralized approach towards distributed architectures. However, modeling and analysis of these systems is more complex, as it involves the interface of multiple energy sources with many different type of loads through power electronics converters. The integration of power electronics converters allows...

Novel DC/DC Converters For High-Power Distributed Power Systems

Bidirectional DC-DC Converters for Energy Storage Systems

A State-space Modeling of Non-ideal Dc-dc Converters

A modeling based on the practical switches with finite turn-on, turn-off, delay, storage and reverse recovery times is proposed. The switching effects on the state equation, system stability, dc gain and efficiency are shown for the boost, buck and buck-boost converters. The effect of switching time variation by current on system stability is given as an extension of the storage time modulation...

A Behavioral Model for DC-DC Converters using Modelica

This paper describes the development of a behavioral model of a dc/dc converter. The focus is on developing a model that simulates quickly, yet retains the behavioral features of a physical converter. Based on a physically motivated behavioral circuit model, the model is then implemented in the Modelica modeling language and simulated using the Dymola simulation environment. Simulation results ...