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

Kazunori Hasegawa, Ichiro Omura, Shin Ichi Nishizawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルPCIM Europe 2017 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9783800744244
DOI
出版ステータス出版済み - 1 1 2017
イベント2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017 - Nuremberg, ドイツ
継続期間: 5 16 20175 18 2017

出版物シリーズ

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

その他

その他2017 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2017
国/地域ドイツ
CityNuremberg
Period5/16/175/18/17

All Science Journal Classification (ASJC) codes

  • エネルギー工学および電力技術
  • 再生可能エネルギー、持続可能性、環境
  • 電子工学および電気工学
  • 制御と最適化
  • 人工知能

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