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 language | English |
|---|---|
| Pages (from-to) | 6356-6386 |
| Number of pages | 31 |
| Journal | IETE Journal of Research |
| Volume | 69 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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