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Grid-Connected Photovoltaic Systems: An Overview of Recent Research and Emerging PV Converter Technology

Open access
Kouro, Samir, Leon, Jose I., Vinnikov, Dimitri, Franquelo, Leopoldo G.·2015·IEEE Industrial Electronics Magazine

Abstract

Photovoltaic (PV) energy has grown at an average annual rate of 60% in the last five years, surpassing one third of the cumulative wind energy installed capacity, and is quickly becoming an important part of the energy mix in some regions and power systems. This has been driven by a reduction in the cost of PV modules. This growth has also triggered the evolution of classic PV power converters from conventional single-phase grid-tied inverters to more complex topologies to increase efficiency, power extraction from the modules, and reliability without impacting the cost. This article presents an overview of the existing PV energy conversion systems, addressing the system configuration of different PV plants and the PV converter topologies that have found practical applications for grid-connected systems. In addition, the recent research and emerging PV converter technology are discussed, highlighting their possible advantages compared with the present technology.

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Metadata

Authors
Kouro, S., Leon, J. I., Vinnikov, D., & Franquelo, L. G.
Venue
IEEE Industrial Electronics Magazine
Published
2015-03
Volume
9
Issue
1
Pages
47-61
ISSN
1932-4529 (ISSN-L)
OpenAlex
W2001356449
Cited by
1,197
References
0
FWCI
37.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Grid-Connected Photovoltaic Systems: An Overview of Recent Research and Emerging PV Converter Technology. https://app.cochat.ai/papers/10.1109/mie.2014.2376976
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Kouro, S., Leon, J. I., Vinnikov, D., & Franquelo, L. G. (2015). Grid-Connected Photovoltaic Systems: An Overview of Recent Research and Emerging PV Converter Technology. IEEE Industrial Electronics Magazine. https://doi.org/10.1109/mie.2014.2376976

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.