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Comparison of Economical and Technical Photovoltaic Hosting Capacity Limits in Distribution Networks

Author

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  • Samar Fatima

    (Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland)

  • Verner Püvi

    (Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland)

  • Ammar Arshad

    (Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute, Topi 23460, Pakistan)

  • Mahdi Pourakbari-Kasmaei

    (Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland)

  • Matti Lehtonen

    (Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland)

Abstract

Power distribution networks are transitioning from passive towards active networks considering the incorporation of distributed generation. Traditional energy networks require possible system upgrades due to the exponential growth of non-conventional energy resources. Thus, the cost concerns of the electric utilities regarding financial models of renewable energy sources (RES) call for the cost and benefit analysis of the networks prone to unprecedented RES integration. This paper provides an evaluation of photovoltaic (PV) hosting capacity (HC) subject to economical constraint by a probabilistic analysis based on Monte Carlo (MC) simulations to consider the stochastic nature of loads. The losses carry significance in terms of cost parameters, and this article focuses on HC investigation in terms of losses and their associated cost. The network losses followed a U-shaped trajectory with increasing PV penetration in the distribution network. In the investigated case networks, increased PV penetration reduced network costs up to around 40%, defined as a ratio to the feeding secondary transformer rating. Above 40%, the losses started to increase again and at 76–87% level, the network costs were the same as in the base cases of no PVs. This point was defined as the economical PV HC of the network. In the case of networks, this level of PV penetration did not yet lead to violations of network technical limits.

Suggested Citation

  • Samar Fatima & Verner Püvi & Ammar Arshad & Mahdi Pourakbari-Kasmaei & Matti Lehtonen, 2021. "Comparison of Economical and Technical Photovoltaic Hosting Capacity Limits in Distribution Networks," Energies, MDPI, vol. 14(9), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2405-:d:542001
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    References listed on IDEAS

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    Cited by:

    1. Tiago P. Abud & Andre A. Augusto & Marcio Z. Fortes & Renan S. Maciel & Bruno S. M. C. Borba, 2022. "State of the Art Monte Carlo Method Applied to Power System Analysis with Distributed Generation," Energies, MDPI, vol. 16(1), pages 1-24, December.
    2. Md Tariqul Islam & M. J. Hossain, 2023. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
    3. Evangelos Bellos & Christos Tzivanidis, 2021. "Parametric Investigation of a Ground Source CO 2 Heat Pump for Space Heating," Energies, MDPI, vol. 14(12), pages 1-25, June.

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