2019 IEEE Texas Power and Energy Conference (TPEC) 2019
DOI: 10.1109/tpec.2019.8662144
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Implementation of an Advanced Modelica Library for Evaluation of Inverter Loss Modeling

Abstract: This paper introduces a newly developed Power Electronic Inverter library in Modelica. The library has different levels of complexity to approximate the power losses in the power inverter. In addition, it provides two different modelling domains (ABC and DQ). The library utilizes a multi-level approach with increasing model complexity, each model is interchangeable in the system including power inverter, controller and machine. There are two attributes which are implemented into this library. First, the model … Show more

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Cited by 2 publications
(2 citation statements)
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“…There is also the blocking loss. It can be neglected as it is a very small amount [37,38]. The IGBT models that are used in this paper are 6MBI300V-120-50 from Fuji Electric Corp.…”
Section: Estimation and Modeling Of Inverter Lossesmentioning
confidence: 99%
“…There is also the blocking loss. It can be neglected as it is a very small amount [37,38]. The IGBT models that are used in this paper are 6MBI300V-120-50 from Fuji Electric Corp.…”
Section: Estimation and Modeling Of Inverter Lossesmentioning
confidence: 99%
“…To enable easy model parametrisation and development, while still ensuring high fidelity, behavioural modelling was used to develop the components of the power electronics library. The work was based on concepts presented in the literature (Denz, Schmitt, & Andres, 2014;Cellier, Clauß, & Urquía, 2007;Lai, Hill, & Suchato, 2019;Urkizu, et al, 2019), where the response of the system is an amalgamation of the static response and an estimation of the losses, either using analytical solutions, measurement data or the dynamic model of the system. Given the dependence of the device response on the temperature, the developed models were enhanced to capture that behaviour and thermal models for the devices were developed in accordance with (AG, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%