Implementation of an Advanced Modelica Library for Evaluation of Inverter Loss Modeling

Lai, Shih Chieh; Ian Hill, Christopher; Suchato, Nutthawut

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 calculates the electric behaviour of the power semiconductors, i.e. IGBTs, MOSFETs and diodes including the thermal effects. This can be fully parameterized based on the characteristic curves and parameters specified in the manufacturer's datasheet. Secondly, the analytical approach of power losses approximation based on the datasheet. It is interchangeable between two reference frames (ABC and DQ). The model is then validated with PLECS simulation to confirm the accuracy.

Citation

Lai, S. C., Ian Hill, C., & Suchato, N. (2019). Implementation of an Advanced Modelica Library for Evaluation of Inverter Loss Modeling. In Proceedings of 2019 IEEE Texas Power and Energy Conference (TPEC) (1-6). https://doi.org/10.1109/TPEC.2019.8662144

• Conference Name: 2019 IEEE Texas Power and Energy Conference, TPEC 2019
• Conference Location: College Station, Texas, USA
• Start Date: Feb 7, 2019
• End Date: Feb 8, 2019
• Acceptance Date: Feb 6, 2019
• Online Publication Date: Mar 7, 2019
• Publication Date: Mar 6, 2019
• Deposit Date: Oct 8, 2019
• Publicly Available Date: Oct 8, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-6
• Book Title: Proceedings of 2019 IEEE Texas Power and Energy Conference (TPEC)
• ISBN: 978-1-5386-9285-1
• DOI: https://doi.org/10.1109/TPEC.2019.8662144
• Public URL: https://nottingham-repository.worktribe.com/output/2781050
• Publisher URL: https://ieeexplore.ieee.org/document/8662144
• Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.