An evaluation circuit for DC-link capacitors used in a single- phase PWM inverter

Kazunori Hasegawa, Ichiro Omura, Shin Ichi Nishizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

High-power conversion systems are based not only on three-phase inverters but also on singlephase inverters because modular multilevel cascade converters (MMCC) consist of half- or fullbridge single-phase converters. Their DC-link capacitors are a major constraint on the improvement of power density as well as of reliability. Evaluation of dc-link capacitors in terms of power loss, ageing, and failure rate will play an important role in the next-generation power converters. This paper presents an evaluation circuit for dc-link capacitors used in a high-power single-phase PWM inverter. The evaluation circuit produces a practical ripple current waveform and a dc bias voltage into a capacitor under test with a downscaled voltage-rating inverter, which is equivalent to those of the full-scale inverter. Theoretical analysis and experimental results verify the effectiveness of the evaluation circuit.

Original languageEnglish
Title of host publicationPCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800744244
DOIs
Publication statusPublished - Jan 1 2017
Event2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017 - Nuremberg, Germany
Duration: May 16 2017May 18 2017

Publication series

NamePCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management

Other

Other2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017
CountryGermany
CityNuremberg
Period5/16/175/18/17

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Artificial Intelligence

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