Evaluation of different maximum power point tracking (MPPT) techniques based on practical meteorological data

Xingshuo Li, Huiqing Wen, Yihua Hu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

36 Citations (Scopus)

Abstract

Recently, many Maximum power point tracking (MPPT) techniques are proposed in the Photovoltaic (PV) systems. However, a comprehensive comparison of various MPPT techniques especially the dynamic tracking performance has not been made quantitatively for different working conditions. By reviewing different methods, the day-by-day operating evaluation method with practical meteorological data is used in this paper. Furthermore, three typical MPPT techniques including fixed step size P&O method, variable step size incremental conductance method, and hybrid step size Beta method, are selected in the performance evaluation. In order to improve the experimental repeatability and minimize the effect of random environmental factor such as partial shading, an indoor test system that consists of a DC-DC boost converter, a PV emulator and a dSPACE is used. The practical meteorological data are used for the evaluation these typical MPPT techniques and main experimental results are presented.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages696-701
Number of pages6
ISBN (Electronic)9781509033881
DOIs
Publication statusPublished - 2016
Event5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016 - Birmingham, United Kingdom
Duration: 20 Nov 201623 Nov 2016

Publication series

Name2016 IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016

Conference

Conference5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016
Country/TerritoryUnited Kingdom
CityBirmingham
Period20/11/1623/11/16

Keywords

  • Maximum power point tracking (MPPT)
  • Photovoltaic (PV) system
  • Practical meteorological data

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