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PV Hosting Capacity Dependence on Harmonic Voltage Distortion in Low-Voltage Grids: Model Validation with Experimental Data

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  • Tiago E. C. de Oliveira

    (Instituto Superior Técnico and INESC-ID, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon, Portugal
    Advanced Power Technologies and Innovations in Systems and Smart Grids Group, Federal University of Itajubá; Av. BPS, 1303, 37500-903 Itajubá, Brazil)

  • Pedro M. S. Carvalho

    (Instituto Superior Técnico and INESC-ID, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon, Portugal)

  • Paulo F. Ribeiro

    (Advanced Power Technologies and Innovations in Systems and Smart Grids Group, Federal University of Itajubá; Av. BPS, 1303, 37500-903 Itajubá, Brazil)

  • Benedito D. Bonatto

    (Advanced Power Technologies and Innovations in Systems and Smart Grids Group, Federal University of Itajubá; Av. BPS, 1303, 37500-903 Itajubá, Brazil)

Abstract

This paper introduces a brief analysis on hosting capacity and related concepts as applied to distribution network systems. Furthermore, it addresses the applicability of hosting capacity study methodologies to harmonic voltage distortion caused by photovoltaic panels (PV) connected at a low-voltage (LV) side of a university campus grid. The analysis of the penetration of new distributed generation technologies, such as PV panels, in the distribution grid of the campus was carried out via measurement processes, and later by computer simulations analyzing a new concept of the hosting capacity approach in relation to voltage harmonics distortion. The voltage rise due to harmonic injection is analyzed and discussed with the aim of validating the discussed model and also putting forward recommendations for connecting PV generation across other network systems.

Suggested Citation

  • Tiago E. C. de Oliveira & Pedro M. S. Carvalho & Paulo F. Ribeiro & Benedito D. Bonatto, 2018. "PV Hosting Capacity Dependence on Harmonic Voltage Distortion in Low-Voltage Grids: Model Validation with Experimental Data," Energies, MDPI, vol. 11(2), pages 1-13, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:465-:d:132835
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    References listed on IDEAS

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    1. Tan, Wen-Shan & Hassan, Mohammad Yusri & Majid, Md Shah & Abdul Rahman, Hasimah, 2013. "Optimal distributed renewable generation planning: A review of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 626-645.
    2. Math H. J. Bollen & Sarah K. Rönnberg, 2017. "Hosting Capacity of the Power Grid for Renewable Electricity Production and New Large Consumption Equipment," Energies, MDPI, vol. 10(9), pages 1-28, September.
    3. Pesaran H.A, Mahmoud & Huy, Phung Dang & Ramachandaramurthy, Vigna K., 2017. "A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 293-312.
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    Cited by:

    1. Krystyna Kurowska & Hubert Kryszk & Stanisław Bielski, 2022. "Location and Technical Requirements for Photovoltaic Power Stations in Poland," Energies, MDPI, vol. 15(7), pages 1-16, April.
    2. Samar Fatima & Verner Püvi & Matti Lehtonen, 2020. "Review on the PV Hosting Capacity in Distribution Networks," Energies, MDPI, vol. 13(18), pages 1-34, September.
    3. Mohammad Seydali Seyf Abad & Jennifer A. Hayward & Saad Sayeef & Peter Osman & Jin Ma, 2021. "Tidal Energy Hosting Capacity in Australia’s Future Energy Mix," Energies, MDPI, vol. 14(5), pages 1-20, March.
    4. 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).
    5. Kamran Daniel & Lauri Kütt & Muhammad Naveed Iqbal & Noman Shabbir & Ateeq Ur Rehman & Muhammad Shafiq & Habib Hamam, 2022. "Current Harmonic Aggregation Cases for Contemporary Loads," Energies, MDPI, vol. 15(2), pages 1-15, January.
    6. 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.
    7. Tiago Elias Castelo de Oliveira & Math Bollen & Paulo Fernando Ribeiro & Pedro M. S. de Carvalho & Antônio C. Zambroni & Benedito D. Bonatto, 2019. "The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations," Energies, MDPI, vol. 12(13), pages 1-18, July.
    8. Miha Grabner & Andrej Souvent & Nermin Suljanović & Andrej Košir & Boštjan Blažič, 2019. "Probabilistic Methodology for Calculating PV Hosting Capacity in LV Networks Using Actual Building Roof Data," Energies, MDPI, vol. 12(21), pages 1-15, October.
    9. Musharraf Wajahat & Hassan Abdullah Khalid & Ghullam Mustafa Bhutto & Claus Leth Bak, 2019. "A Comparative Study into Enhancing the PV Penetration Limit of a LV CIGRE Residential Network with Distributed Grid-Tied Single-Phase PV Systems," Energies, MDPI, vol. 12(15), pages 1-17, August.
    10. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.
    11. 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.
    12. Saheed Lekan Gbadamosi & Nnamdi I. Nwulu & Pierluigi Siano, 2022. "Harmonics Constrained Approach to Composite Power System Expansion Planning with Large-Scale Renewable Energy Sources," Energies, MDPI, vol. 15(11), pages 1-15, June.

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