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A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation

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  • Mohammad Zain ul Abideen

    (Division of Sustainability, College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar
    Iberdrola Innovation Middle East, Qatar Science & Technology Park, Doha 210177, Qatar)

  • Omar Ellabban

    (Iberdrola Innovation Middle East, Qatar Science & Technology Park, Doha 210177, Qatar)

  • Luluwah Al-Fagih

    (Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar
    School of Computer Science & Mathematics, Kingston University London, Kingston upon Thames KT1 2EE, UK)

Abstract

Integration of distributed energy resources (DERs) has numerous advantages as well as some disadvantages. To safely integrate DERs into a given distribution network and to maximize their benefits, it is important to thoroughly analyze the impact of DERs on that particular network. The maximum amount of DERs that a given distribution network can accommodate without causing technical problems or without requiring infrastructure modifications is defined as the hosting capacity (HC). In this work, a review of the recent literature regarding the HC is presented. The major limiting factors of HC are found to be voltage deviation, phase unbalance, thermal overload, power losses, power quality, installation location and protection devices’ miscoordination. The studies are found to employ one of four different methods for HC calculation: (i) deterministic, (ii) stochastic, (iii) optimization-based and (iv) streamlined. Commercially available tools for HC calculation are also presented. The review concludes that the choice of tools and methods for HC calculation depends on the data available and the type of study that is to be performed.

Suggested Citation

  • Mohammad Zain ul Abideen & Omar Ellabban & Luluwah Al-Fagih, 2020. "A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation," Energies, MDPI, vol. 13(11), pages 1-25, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2758-:d:365604
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    References listed on IDEAS

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    Cited by:

    1. Ahmed M. Mahmoud & Shady H. E. Abdel Aleem & Almoataz Y. Abdelaziz & Mohamed Ezzat, 2022. "Towards Maximizing Hosting Capacity by Optimal Planning of Active and Reactive Power Compensators and Voltage Regulators: Case Study," Sustainability, MDPI, vol. 14(20), pages 1-34, October.
    2. Luka Strezoski, 2023. "Distributed energy resource management systems—DERMS: State of the art and how to move forward," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(1), January.
    3. 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.
    4. Vincent Umoh & Innocent Davidson & Abayomi Adebiyi & Unwana Ekpe, 2023. "Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review," Energies, MDPI, vol. 16(8), pages 1-25, April.
    5. Chathurangi, D. & Jayatunga, U. & Perera, S., 2022. "Recent investigations on the evaluation of solar PV hosting capacity in LV distribution networks constrained by voltage rise," Renewable Energy, Elsevier, vol. 199(C), pages 11-20.
    6. Roman Korab & Marcin Połomski & Marcin Smołka, 2022. "Evaluating the Risk of Exceeding the Normal Operating Conditions of a Low-Voltage Distribution Network due to Photovoltaic Generation," Energies, MDPI, vol. 15(6), pages 1-35, March.
    7. 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.
    8. Illia Diahovchenko & Lubov Petrichenko, 2022. "Comparative Analysis of Power Distribution Systems with Individual Prosumers Owing Photovoltaic Installations and Solar Energy Communities in Terms of Profitability and Hosting Capacity," Energies, MDPI, vol. 15(23), pages 1-20, November.
    9. Ibrahim Mohamed Diaaeldin & Shady H. E. Abdel Aleem & Ahmed El-Rafei & Almoataz Y. Abdelaziz & Ahmed F. Zobaa, 2020. "Enhancement of Hosting Capacity with Soft Open Points and Distribution System Reconfiguration: Multi-Objective Bilevel Stochastic Optimization," Energies, MDPI, vol. 13(20), pages 1-20, October.
    10. Sandström, Maria & Huang, Pei & Bales, Chris & Dotzauer, Erik, 2023. "Evaluation of hosting capacity of the power grid for electric vehicles – A case study in a Swedish residential area," Energy, Elsevier, vol. 284(C).
    11. Ezequiel Junio Lima & Luiz Carlos Gomes Freitas, 2022. "Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a M," Energies, MDPI, vol. 15(3), pages 1-16, February.
    12. Karmaker, Ashish Kumar & Prakash, Krishneel & Siddique, Md Nazrul Islam & Hossain, Md Alamgir & Pota, Hemanshu, 2024. "Electric vehicle hosting capacity analysis: Challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    13. Joseph Akpan & Oludolapo Olanrewaju, 2023. "Towards a Common Methodology and Modelling Tool for 100% Renewable Energy Analysis: A Review," Energies, MDPI, vol. 16(18), pages 1-42, September.
    14. Ziad M. Ali & Martin Calasan & Shady H. E. Abdel Aleem & Francisco Jurado & Foad H. Gandoman, 2023. "Applications of Energy Storage Systems in Enhancing Energy Management and Access in Microgrids: A Review," Energies, MDPI, vol. 16(16), pages 1-41, August.
    15. Ricardo de Oliveira & Leonardo Willer de Oliveira & Edimar José de Oliveira, 2023. "Optimization Approach for Planning Soft Open Points in a MV-Distribution System to Maximize the Hosting Capacity," Energies, MDPI, vol. 16(3), pages 1-22, January.
    16. Claeys, Robbert & Cleenwerck, Rémy & Knockaert, Jos & Desmet, Jan, 2024. "Capturing multiscale temporal dynamics in synthetic residential load profiles through Generative Adversarial Networks (GANs)," Applied Energy, Elsevier, vol. 360(C).
    17. Koirala, Arpan & Van Acker, Tom & D’hulst, Reinhilde & Van Hertem, Dirk, 2022. "Hosting capacity of photovoltaic systems in low voltage distribution systems: A benchmark of deterministic and stochastic approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    18. Claeys, Robbert & Cleenwerck, Rémy & Knockaert, Jos & Desmet, Jan, 2023. "Stochastic generation of residential load profiles with realistic variability based on wavelet-decomposed smart meter data," Applied Energy, Elsevier, vol. 350(C).
    19. Hubert Kryszk & Krystyna Kurowska & Renata Marks-Bielska & Stanisław Bielski & Bartłomiej Eźlakowski, 2023. "Barriers and Prospects for the Development of Renewable Energy Sources in Poland during the Energy Crisis," Energies, MDPI, vol. 16(4), pages 1-17, February.
    20. Gregorio Fernández & Noemi Galan & Daniel Marquina & Diego Martínez & Alberto Sanchez & Pablo López & Hans Bludszuweit & Jorge Rueda, 2020. "Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids," Energies, MDPI, vol. 13(17), pages 1-27, August.

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