Power command compensation structure to improve the dynamic performance for single phase transformer-less photovoltaic inverters with dynamic power decoupling

Yinglai Xia, Ziwei Yu, Raja Ayyanar

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

1 Scopus citations

Abstract

This paper proposes a scheme to improve the system transient performance by implementing a power command compensation structure in a single phase transformer less photovoltaic inverter with dynamic power decoupling. The drawback of the original control scheme in the transient performance is analyzed and shown in simulation results. The mechanism of the proposed control scheme is discussed in detail. The analysis and benefits of the proposed scheme are validated on a single-phase grid-connected inverter prototype employing SiC MOSFETs and DSP28335 for control implementation Compared with the original control scheme, the improved scheme can realize a significant improvement in the transient response and can in turn decrease the dc link voltage maximum value by 35%, achieving higher efficiency and cost reduction.

Original languageEnglish (US)
Title of host publication2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages455-460
Number of pages6
ISBN (Electronic)9781509029983
DOIs
StatePublished - Nov 3 2017
Event9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States
Duration: Oct 1 2017Oct 5 2017

Publication series

Name2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Volume2017-January

Other

Other9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
Country/TerritoryUnited States
CityCincinnati
Period10/1/1710/5/17

Keywords

  • Dynamic performance
  • Dynamic power decoupling
  • Power command compensation
  • Transformer-less PV inverter

ASJC Scopus subject areas

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

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