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Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

Author

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  • Temitayo O. Olowu

    (Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA)

  • Aditya Sundararajan

    (Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA)

  • Masood Moghaddami

    (Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA)

  • Arif I. Sarwat

    (Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA)

Abstract

Integration of high volume (high penetration) of photovoltaic (PV) generation with power grids consequently leads to some technical challenges that are mainly due to the intermittent nature of solar energy, the volume of data involved in the smart grid architecture, and the impact power electronic-based smart inverters. These challenges include reverse power flow, voltage fluctuations, power quality issues, dynamic stability, big data challenges and others. This paper investigates the existing challenges with the current level of PV penetration and looks into the challenges with high PV penetration in future scenarios such as smart cities, transactive energy, proliferation of plug-in hybrid electric vehicles (PHEVs), possible eclipse events, big data issues and environmental impacts. Within the context of these future scenarios, this paper reviewed the existing solutions and provides insights to new and future solutions that could be explored to ultimately address these issues and improve the smart grid’s security, reliability and resiliency.

Suggested Citation

  • Temitayo O. Olowu & Aditya Sundararajan & Masood Moghaddami & Arif I. Sarwat, 2018. "Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey," Energies, MDPI, vol. 11(7), pages 1-32, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1782-:d:156709
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    12. Visser, Lennard & AlSkaif, Tarek & van Sark, Wilfried, 2022. "Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution," Renewable Energy, Elsevier, vol. 183(C), pages 267-282.
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    14. Muqaddas Elahi & Hafiz Muhammad Ashraf & Chul-Hwan Kim, 2022. "An Improved Partial Shading Detection Strategy Based on Chimp Optimization Algorithm to Find Global Maximum Power Point of Solar Array System," Energies, MDPI, vol. 15(4), pages 1-26, February.
    15. Rosa Anna Mastromauro, 2020. "Grid Synchronization and Islanding Detection Methods for Single-Stage Photovoltaic Systems," Energies, MDPI, vol. 13(13), pages 1-25, July.
    16. Pierro, Marco & Perez, Richard & Perez, Marc & Prina, Matteo Giacomo & Moser, David & Cornaro, Cristina, 2021. "Italian protocol for massive solar integration: From solar imbalance regulation to firm 24/365 solar generation," Renewable Energy, Elsevier, vol. 169(C), pages 425-436.
    17. Stanislaw Galla & Miroslaw Wlas, 2021. "The Influence of a Photovoltaic Micro-Installation on the Low-Frequency Parameters of Electricity at PCC and Its Impact on the Thermal Characteristics of Selected Devices," Energies, MDPI, vol. 14(9), pages 1-14, April.
    18. Anjan Debnath & Temitayo O. Olowu & Imtiaz Parvez & Md Golam Dastgir & Arif Sarwat, 2020. "A Novel Module Independent Straight Line-Based Fast Maximum Power Point Tracking Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 13(12), pages 1-15, June.
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    20. Md. Shouquat Hossain & Naseer Abboodi Madlool & Ali Wadi Al-Fatlawi & Mamdouh El Haj Assad, 2023. "High Penetration of Solar Photovoltaic Structure on the Grid System Disruption: An Overview of Technology Advancement," Sustainability, MDPI, vol. 15(2), pages 1-25, January.

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