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Dynamic Reconfiguration Systems for PV Plant: Technical and Economic Analysis

Author

Listed:
  • Giuseppe Schettino

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Filippo Pellitteri

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Guido Ala

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Rosario Miceli

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Pietro Romano

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Fabio Viola

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

Abstract

Solar plants suffer of partial shading and mismatch problems. Without considering the generation of hot spots and the resulting security issues, a monitoring system for the health of a PV plant should be useful to drive a dynamic reconfiguration system (DRS) to solve bottlenecks due to different panels’ shading. Over the years different DRS architectures have been proposed, but no suggestions about costs and benefits have been provided. Starting from technical subjects such as differences of the topologies driving the hardware complexity and number of components, this paper identifies the cost of DRS and its lifetime, and based on these issues it provides an economic analysis for a 6 kWp PV plant in different European Union countries, in which the dissimilar incentive policies have been considered.

Suggested Citation

  • Giuseppe Schettino & Filippo Pellitteri & Guido Ala & Rosario Miceli & Pietro Romano & Fabio Viola, 2020. "Dynamic Reconfiguration Systems for PV Plant: Technical and Economic Analysis," Energies, MDPI, vol. 13(8), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:2004-:d:347102
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    References listed on IDEAS

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    1. Potnuru, Srinivasa Rao & Pattabiraman, Dinesh & Ganesan, Saravana Ilango & Chilakapati, Nagamani, 2015. "Positioning of PV panels for reduction in line losses and mismatch losses in PV array," Renewable Energy, Elsevier, vol. 78(C), pages 264-275.
    2. Balato, M. & Costanzo, L. & Vitelli, M., 2015. "Series–Parallel PV array re-configuration: Maximization of the extraction of energy and much more," Applied Energy, Elsevier, vol. 159(C), pages 145-160.
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    5. Kandemir, Ekrem & Cetin, Numan S. & Borekci, Selim, 2017. "A comprehensive overview of maximum power extraction methods for PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 93-112.
    6. Wang, Yaw-Juen & Hsu, Po-Chun, 2011. "An investigation on partial shading of PV modules with different connection configurations of PV cells," Energy, Elsevier, vol. 36(5), pages 3069-3078.
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    Cited by:

    1. Luis D. Murillo-Soto & Carlos Meza, 2021. "Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach," Energies, MDPI, vol. 14(9), pages 1-19, April.
    2. Fang, Xiaolun & Yang, Qiang, 2024. "Dynamic reconfiguration of photovoltaic array for minimizing mismatch loss," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

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