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Hosting capacity of photovoltaic systems in low voltage distribution systems: A benchmark of deterministic and stochastic approaches

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  • Koirala, Arpan
  • Van Acker, Tom
  • D’hulst, Reinhilde
  • Van Hertem, Dirk

Abstract

This paper compares and benchmarks different methods to calculate the hosting capacity of low voltage distribution systems for residential photovoltaic generation. The low voltage distribution system hosting capacity provides insight to the network planner and operator regarding the capability of the distribution system to accommodate new photovoltaic installations. In the literature, many different methods to calculate the hosting capacity of the distribution network exist, but they are demonstrated using different feeders and with different assumptions, making it difficult to compare different approaches. In this paper, a consistent benchmark of existing hosting capacity methods is performed. A publicly available real network of a semi-urban area is used to compare the different approaches in a consistent manner. A reference stochastic hosting capacity method is proposed, which considers all sources of uncertainty as well as operational and probabilistic limits. Hosting capacity definitions, based on both deterministic and stochastic methods, are evaluated based on their performance parameters and benchmarked. The performed analysis allows selecting the most appropriate hosting capacity definition and comparing results amongst systems.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:rensus:v:155:y:2022:i:c:s1364032121011655
    DOI: 10.1016/j.rser.2021.111899
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    References listed on IDEAS

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    1. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
    2. Rabiee, Abbas & Mohseni-Bonab, Seyed Masoud, 2017. "Maximizing hosting capacity of renewable energy sources in distribution networks: A multi-objective and scenario-based approach," Energy, Elsevier, vol. 120(C), pages 417-430.
    3. Pillot, Benjamin & de Siqueira, Sandro & Dias, João Batista, 2018. "Grid parity analysis of distributed PV generation using Monte Carlo approach: The Brazilian case," Renewable Energy, Elsevier, vol. 127(C), pages 974-988.
    4. Ammar Arshad & Martin Lindner & Matti Lehtonen, 2017. "An Analysis of Photo-Voltaic Hosting Capacity in Finnish Low Voltage Distribution Networks," Energies, MDPI, vol. 10(11), pages 1-16, October.
    5. Kharrazi, A. & Sreeram, V. & Mishra, Y., 2020. "Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    6. 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.
    7. Haque, M. Mejbaul & Wolfs, Peter, 2016. "A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1195-1208.
    8. Alturki, Mansoor & Khodaei, Amin & Paaso, Aleksi & Bahramirad, Shay, 2018. "Optimization-based distribution grid hosting capacity calculations," Applied Energy, Elsevier, vol. 219(C), pages 350-360.
    9. Emilio J. Palacios-Garcia & Antonio Moreno-Muñoz & Isabel Santiago & Isabel M. Moreno-Garcia & María I. Milanés-Montero, 2017. "PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling," Energies, MDPI, vol. 10(10), pages 1-22, September.
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    Cited by:

    1. Cho, Yongjun & Lee, Eunjung & Baek, Keon & Kim, Jinho, 2023. "Stochastic Optimization-Based hosting capacity estimation with volatile net load deviation in distribution grids," Applied Energy, Elsevier, vol. 341(C).
    2. Hwang, Hyunkyeong & Yoon, Ahyun & Yoon, Yongtae & Moon, Seungil, 2023. "Demand response of HVAC systems for hosting capacity improvement in distribution networks: A comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    3. 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).
    4. 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).
    5. Guo, Rui & Meunier, Simon & Protopapadaki, Christina & Saelens, Dirk, 2023. "A review of European low-voltage distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    6. 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).
    7. Yamaguchi, Yohei & Shoda, Yuto & Yoshizawa, Shinya & Imai, Tatsuya & Perwez, Usama & Shimoda, Yoshiyuki & Hayashi, Yasuhiro, 2023. "Feasibility assessment of net zero-energy transformation of building stock using integrated synthetic population, building stock, and power distribution network framework," Applied Energy, Elsevier, vol. 333(C).
    8. Kerscher, Selina & Koirala, Arpan & Arboleya, Pablo, 2024. "Grid-optimal energy community planning from a systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

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