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Evaluating the Potential of Hosting Capacity Enhancement Using Integrated Grid Planning modeling Methods

Author

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  • Syahrul Nizam Md Saad

    (School of Engineering, The University of Edinburgh, Edinburgh EH9 3DW, UK)

  • Adriaan Hendrik van der Weijde

    (School of Engineering, The University of Edinburgh, Edinburgh EH9 3DW, UK
    The Alan Turing Institute for Data Science, London NW1 2DB, UK)

Abstract

Connection of a significant amount of distributed generation, such as solar photovoltaic (PV) capacity, may lead to problems in distribution networks due to violations of distribution network hosting capacity (HC) limits. HC enhancement techniques, such as energy storage, could increase the allowable PV penetration level in the distribution network, reducing the need for transmission and large-scale generation expansion. However, current approaches for transmission and generation expansion planning do not account for distribution network HC limits. As a consequence, it is hard to quantify the impact and benefits of HC enhancement in the context of long-term grid expansion planning. This paper presents a novel integrated planning approach, combining a two-stage transmission and generation expansion planning model with a distribution network hosting capacity assessment, which allows for inclusion of detailed distribution network constraints We test this method on a stylized representation of the Malaysian grid. Our results show that distribution constraints have a significant impact on optimal transmission expansion plans and significantly increase overall system costs. HC enhancement in the form of battery storage does not significantly mitigate this but does lead to a cost decrease regardless of distribution network constraints. We also show how our approach can identify the key interactions between transmission and distribution networks in systems with high levels of renewable and storage technologies. In particular, HC enhancement with battery storage can act as a substitute or complement to line investment, depending on the renewable energy penetration, the storage location and the level of coordination in the network.

Suggested Citation

  • Syahrul Nizam Md Saad & Adriaan Hendrik van der Weijde, 2019. "Evaluating the Potential of Hosting Capacity Enhancement Using Integrated Grid Planning modeling Methods," Energies, MDPI, vol. 12(19), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3610-:d:269476
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    Cited by:

    1. 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.
    2. Issah Babatunde Majeed & Nnamdi I. Nwulu, 2022. "Impact of Reverse Power Flow on Distributed Transformers in a Solar-Photovoltaic-Integrated Low-Voltage Network," Energies, MDPI, vol. 15(23), pages 1-19, December.
    3. 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.
    4. 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.
    5. 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.
    6. Anju Yadav & Nand Kishor & Richa Negi, 2023. "Bus Voltage Violations under Different Solar Radiation Profiles and Load Changes with Optimally Placed and Sized PV Systems," Energies, MDPI, vol. 16(2), pages 1-23, January.
    7. Javier Solano & Diego Jimenez & Adrian Ilinca, 2020. "A Modular Simulation Testbed for Energy Management in AC/DC Microgrids," Energies, MDPI, vol. 13(16), pages 1-23, August.

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