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Hosting Capacity Improvement Method Using MV–MV Solid-State-Transformer

Author

Listed:
  • Jin-Sol Song

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Ji-Soo Kim

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Barry Mather

    (Power System Engineering Center, National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Chul-Hwan Kim

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

Abstract

As a large number of distributed generations are connected to the distribution system, research on the hosting capacity is actively being conducted. In particular, various methods, such as smart inverter functionality, co-located energy storage systems (ESS), and the use of on-load tap changers (OLTC), have been proposed to improve the hosting capacity. In this paper, a method to improve the hosting capacity by utilizing a solid-state transformer (SST) and its unique control capability is proposed. Lastly, the proposed method is verified in the distribution system of the Republic of Korea using the OpenDSS program.

Suggested Citation

  • Jin-Sol Song & Ji-Soo Kim & Barry Mather & Chul-Hwan Kim, 2021. "Hosting Capacity Improvement Method Using MV–MV Solid-State-Transformer," Energies, MDPI, vol. 14(3), pages 1-12, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:622-:d:487371
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    References listed on IDEAS

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    1. Mihai Sanduleac & João F. Martins & Irina Ciornei & Mihaela Albu & Lucian Toma & Vitor Fernão Pires & Lenos Hadjidemetriou & Rooktabir Sauba, 2018. "Resilient and Immune by Design Microgrids Using Solid State Transformers," Energies, MDPI, vol. 11(12), pages 1-19, December.
    2. Lee, J. & Bérard, Jean-Philippe & Razeghi, G. & Samuelsen, S., 2020. "Maximizing PV hosting capacity of distribution feeder microgrid," Applied Energy, Elsevier, vol. 261(C).
    3. Collins, L. & Ward, J.K., 2015. "Real and reactive power control of distributed PV inverters for overvoltage prevention and increased renewable generation hosting capacity," Renewable Energy, Elsevier, vol. 81(C), pages 464-471.
    4. Jain, Akshay Kumar & Horowitz, Kelsey & Ding, Fei & Sedzro, Kwami Senam & Palmintier, Bryan & Mather, Barry & Jain, Himanshu, 2020. "Dynamic hosting capacity analysis for distributed photovoltaic resources—Framework and case study," Applied Energy, Elsevier, vol. 280(C).
    5. 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.
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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.

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