Experimental verification of reconfiguration method for series-parallel connection of PV modules under partial shading

Kento Iida, Akiko Takahashi, Shigeyuki Funabiki

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

Abstract

Power generation efficiency of a PV system could be significantly reduced under non-uniform distributions of solar irradiance. The authors have proposed the reconfiguration method of PV modules to improve power generation efficiency of a PV array. This paper verifies the proposed reconfiguration method by two experiments. In the first experiment, I-V curves of PV array before and after the reconfiguration are measured and compared the maximum output power. In the second experiment, the output power of PV array is regulated by the buck converter. The current and voltage at the input and output terminals of buck converter is measured to evaluate the response of reconfiguration. As experimental results, the maximum output power after the reconfiguration of PV array is improved by up to 28.9%. The response time of reconfiguration is about 50 ms and the output voltage drops by 10.8%.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages273-278
Number of pages6
ISBN (Electronic)9781728185507
DOIs
Publication statusPublished - Nov 2020
Event2020 International Conference on Smart Grids and Energy Systems, SGES 2020 - Virtual, Perth, Australia
Duration: Nov 23 2020Nov 26 2020

Publication series

NameProceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020

Conference

Conference2020 International Conference on Smart Grids and Energy Systems, SGES 2020
CountryAustralia
CityVirtual, Perth
Period11/23/2011/26/20

Keywords

  • Experimental verification
  • PV Module
  • Partial shading
  • Reconfiguration

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Transportation

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