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A Review on Static Reconfiguration Techniques of Solar PV to Mitigate Mismatch Loss and Minimize Partial Shading Effect

Research output: Contribution to journalReview articlepeer-review

Abstract

The proliferation of fossil fuels for power generation leads to their depletion besides damaging the environment to a larger extent. In order to strive for a better environment, the inclusion of renewable energy-based generation is the best substitute. Solar, wind, hydro, and biomass are the available renewable energy sources in nature. Among the list, solar-based PV power generation is the most promising one and yields the maximum power output. In spite of all postulates from PV, the dependency on the sun makes this power generation a bit complicated. The output power generated from the PV panel varies in accordance with the solar insolation, temperature, degree of inclination, and partial shading condition. For extracting the maximum power from the PV array, various configuration techniques are implemented such as series, parallel, series-parallel, TCT, and HC. But these configuration techniques are less effective during partial shading conditions (PSCs). In order to reduce the PSC effect, static reconfiguration of modules within the PV array is implemented. This paper reviews all novel reconfiguration-based techniques which are available in the literature till date. We have systematically classified various reconfiguration methodologies. This study provides the advancement in this area since some parameter comparison is made at the end of every classification, which might be a prominent base rule for picking the most gainful sort of reconfiguration method for further research. This review would be helpful for researchers in this field to select the most feasible reconfiguration method for their application, as this study reviews a considerable number of PV reconfiguration methods on one platform.

Original languageEnglish
Pages (from-to)6356-6386
Number of pages31
JournalIETE Journal of Research
Volume69
Issue number9
DOIs
Publication statusPublished - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science Applications
  • Electrical and Electronic Engineering

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