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A novel reconfiguration technique for improvement of PV reliability

Author

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  • Yadav, Vinod Kumar
  • Yadav, Abhishek
  • Yadav, Ranjana
  • Mittal, Aaradhya
  • Wazir, Nadeem Hussain
  • Gupta, Shubham
  • Pachauri, Rupendra Kumar
  • Ghosh, Santosh

Abstract

Generation of the hot spot in photovoltaic cells (PV) cells under partial shading conditions (PSC) is a persistent issue associated with PV systems which not only affects the PV performance but also increases the cell temperature (up to 400 °C in extreme cases), and thereby causes premature failure. This article presents a novel technique to prevent the reverse breakdown and thereby mitigate the hot spot temperature of the PV cells under partial shading by reducing reverse current through automated reconfiguration of PV array. The efficacy of the proposed technique is evaluated by simulating eight different shading scenarios, under which the reconfiguration algorithm automatically switched different PV configurations based on the nature of the shading pattern. The performance of the PV arrays is evaluated using IGBT as the switching device, and the performance is compared with an ideal switch-based circuit. The proposed technique is found to reduce the reverse voltage and reverse current and through the affected modules and thereby increase the reliability index in 82% of the cases. Hence the proposed reconfiguration algorithm is expected to increase the PV reliability and thereby increase the performance ratio of the PV projects, especially which are susceptible to frequent partial shading conditions.

Suggested Citation

  • Yadav, Vinod Kumar & Yadav, Abhishek & Yadav, Ranjana & Mittal, Aaradhya & Wazir, Nadeem Hussain & Gupta, Shubham & Pachauri, Rupendra Kumar & Ghosh, Santosh, 2022. "A novel reconfiguration technique for improvement of PV reliability," Renewable Energy, Elsevier, vol. 182(C), pages 508-520.
    • Handle: RePEc:eee:renene:v:182:y:2022:i:c:p:508-520
    DOI: 10.1016/j.renene.2021.10.043
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    References listed on IDEAS

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    1. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda & Yadav, Pankaj, 2017. "Evaluation of relative impact of aerosols on photovoltaic cells through combined Shannon's entropy and Data Envelopment Analysis (DEA)," Renewable Energy, Elsevier, vol. 105(C), pages 344-353.
    2. Vincenzo Li Vigni & Damiano La Manna & Eleonora Riva Sanseverino & Vincenzo Di Dio & Pietro Romano & Pietro Di Buono & Maurizio Pinto & Rosario Miceli & Costantino Giaconia, 2015. "Proof of Concept of an Irradiance Estimation System for Reconfigurable Photovoltaic Arrays," Energies, MDPI, vol. 8(7), pages 1-17, June.
    3. Lee, Chung Geun & Shin, Woo Gyun & Lim, Jong Rok & Kang, Gi Hwan & Ju, Young Chul & Hwang, Hye Mi & Chang, Hyo Sik & Ko, Suk Whan, 2021. "Analysis of electrical and thermal characteristics of PV array under mismatching conditions caused by partial shading and short circuit failure of bypass diodes," Energy, Elsevier, vol. 218(C).
    4. Zini, Gabriele & Mangeant, Christophe & Merten, Jens, 2011. "Reliability of large-scale grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 36(9), pages 2334-2340.
    5. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda, 2018. "Evaluation of cumulative impact of partial shading and aerosols on different PV array topologies through combined Shannon's entropy and DEA," Energy, Elsevier, vol. 144(C), pages 765-775.
    6. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda & Gupta, Shubham, 2021. "Three decades of Indian power-sector reform:A critical assessment," Utilities Policy, Elsevier, vol. 68(C).
    7. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda, 2019. "Improvement of partial shading resilience of PV array though modified bypass arrangement," Renewable Energy, Elsevier, vol. 143(C), pages 1079-1093.
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