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Estimating national and local low-voltage grid capacity for residential solar photovoltaic in Sweden, UK and Germany

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  • Hartvigsson, Elias
  • Odenberger, Mikael
  • Chen, Peiyuan
  • Nyholm, Emil

Abstract

The electric grid’s available capacity to accommodate solar photovoltaic on national scales is currently uncertain. This makes decisions about grid capacity expansion, which can be very costly for local grid operators, difficult to make. Yet, knowledge of national solar photovoltaic grid capacity is central in order to formulate realistic solar PV targets and strategies. We present a methodology based on publicly available data to estimate the grid’s hosting capacity of residential solar photovoltaic at both the national and local scale. The model is applied to Sweden, Germany and the UK and shows that low-voltage grid capacity for residential solar photovoltaic is very large, 33 (+5/-7) GW (Sweden), 248 (+5/-24) GW (Germany) and 63 (+1/-14) GW UK, and similar to current total generation capacity. Based on our estimations, we find that with the capacity of the present grid Sweden can supply 24%, Germany 60% and UK 21% of their current annual net electricity consumption from residential solar photovoltaic. In addition, we find that the grid-supported individual solar PV system sizes increase as population density decreases. Finally, our work highlights the importance of implementing sizing incentives for customers when installing their solar PV systems.

Suggested Citation

  • Hartvigsson, Elias & Odenberger, Mikael & Chen, Peiyuan & Nyholm, Emil, 2021. "Estimating national and local low-voltage grid capacity for residential solar photovoltaic in Sweden, UK and Germany," Renewable Energy, Elsevier, vol. 171(C), pages 915-926.
    • Handle: RePEc:eee:renene:v:171:y:2021:i:c:p:915-926
    DOI: 10.1016/j.renene.2021.02.073
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    References listed on IDEAS

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    1. Horowitz, Kelsey A.W. & Palmintier, Bryan & Mather, Barry & Denholm, Paul, 2018. "Distribution system costs associated with the deployment of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 420-433.
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    Cited by:

    1. Rajabi, A. & Elphick, S. & David, J. & Pors, A. & Robinson, D., 2022. "Innovative approaches for assessing and enhancing the hosting capacity of PV-rich distribution networks: An Australian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
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    5. Hartvigsson, Elias & Taljegard, Maria & Odenberger, Mikael & Chen, Peiyuan, 2022. "A large-scale high-resolution geographic analysis of impacts of electric vehicle charging on low-voltage grids," Energy, Elsevier, vol. 261(PA).
    6. Shuo Chen & Falko Ebe & Jeromie Morris & Heiko Lorenz & Christoph Kondzialka & Gerd Heilscher, 2022. "Implementation and Test of an IEC 61850-Based Automation Framework for the Automated Data Model Integration of DES (ADMID) into DSO SCADA," Energies, MDPI, vol. 15(4), pages 1-30, February.
    7. Mirosława Szewczyk & Anna Szeliga-Duchnowska, 2022. "Make Hay While the Sun Shines: Beneficiaries of Renewable Energy Promotion," Energies, MDPI, vol. 15(9), pages 1-15, May.
    8. Pena-Bello, Alejandro & Junod, Robin & Ballif, Christophe & Wyrsch, Nicolas, 2023. "Balancing DSO interests and PV system economics with alternative tariffs," Energy Policy, Elsevier, vol. 183(C).

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