In depth mathematical-analysis and experimentation of high-power SiC-FET based single-stage three-phase differential-based flyback inverter with practical design issues for grid-tied applications

Ahmed Ismail M. Ali*, Takaharu Takeshita, Mahmoud A. Sayed

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)

Abstract

This paper presents a detailed mathematical loss-modelling, design, hardware implementation issues, and experimental verification of high-power isolated single-stage three-phase differential-based flyback inverter (DBFI) for grid-tied photovoltaic applications. In addition, this paper studies the loss-modelling analysis of the DBFI components in terms of time and system parameters, which describes the power loss distribution over the circuit components for efficiency enhancement possibility. Also, it studies the practical design issues of DBFI; power stage design, HFT-based F3CC Nano-Crystalline C-Core design, passive elements selection effects on harmonics compensation of grid current waveforms, and the input DC current ripple for PV applications propriety. In addition, the input DC-voltage variation impact on the grid-current THD, system efficiency, and operational power factor are investigated. Also, continuous modulation scheme (CMS) is used to control the proposed DBFI for low-order harmonic components mitigation. The system is simulated by PSIM computer-aided simulator. Then, the proposed system is verified experimentally using a laboratory prototype controlled by TMS320C6713 DSP controller.

Original languageEnglish
Article number108041
JournalInternational Journal of Electrical Power and Energy Systems
Volume140
DOIs
Publication statusPublished - Sept 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Continuous modulation scheme (CMS)
  • Differential-based flyback inverter (DBFI)
  • Flyback high-frequency transformer (FB-HFT)
  • Negative-sequence second-order harmonic component (NS-SOHC)
  • Static-linearization method (SLM)

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