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Operation Method of On-Load Tap Changer on Main Transformer Considering Reverse Power Flow in Distribution System Connected with High Penetration on Photovoltaic System

Author

Listed:
  • Kwang-Hoon Yoon

    (Department of Electrical Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

  • Joong-Woo Shin

    (Department of Electrical Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

  • Tea-Yang Nam

    (Department of Electrical Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

  • Jae-Chul Kim

    (Department of Electrical Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

  • Won-Sik Moon

    (Department of Electrical Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

Abstract

The increasing use of photovoltaics (PVs) in distribution systems owing to the low-carbon policy has given rise to the need for various technological changes. In particular, the operation of on-load tap changers (OLTCs) has attracted attention. In traditional distribution systems, the OLTC operates via a line-drop compensator (LDC), which focuses on the load to solve the low-voltage problem; however, the problem of over-voltage caused by PVs persists. Currently, a method for operating an OLTC using the measured voltage is being researched; however, solving the voltage problem for several feeders connected to a main transformer (MT) is not viable. Therefore, this study proposes an OLTC operation method to address the feeder with the largest voltage problem depending on the direction of power flow. The proposed method selects a point where the OLTC operates using the difference between the measured and reference voltages. Setting the reference voltage can solve the problem that occurs due to the direction of power flow. Finally, the effectiveness of the proposed method is verified via case studies. Based on the results, we can conclude that the proposed method effectively solves the voltage problem, and an increase in hosting capacity can be expected.

Suggested Citation

  • Kwang-Hoon Yoon & Joong-Woo Shin & Tea-Yang Nam & Jae-Chul Kim & Won-Sik Moon, 2022. "Operation Method of On-Load Tap Changer on Main Transformer Considering Reverse Power Flow in Distribution System Connected with High Penetration on Photovoltaic System," Energies, MDPI, vol. 15(17), pages 1-17, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6473-:d:906862
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    References listed on IDEAS

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    1. Juan Gea-Bermúdez & Lena Kitzing & Matti Koivisto & Kaushik Das & Juan Pablo Murcia León & Poul Sørensen, 2022. "The Value of Sector Coupling for the Development of Offshore Power Grids," Energies, MDPI, vol. 15(3), pages 1-21, January.
    2. Alexander Micallef & Cyril Spiteri Staines & Alan Cassar, 2022. "Utility-Scale Storage Integration in the Maltese Medium-Voltage Distribution Network," Energies, MDPI, vol. 15(8), pages 1-20, April.
    3. Yao, Hongmin & Qin, Wenping & Jing, Xiang & Zhu, Zhilong & Wang, Ke & Han, Xiaoqing & Wang, Peng, 2022. "Possibilistic evaluation of photovoltaic hosting capacity on distribution networks under uncertain environment," Applied Energy, Elsevier, vol. 324(C).
    4. Daisuke Iioka & Takahiro Fujii & Toshio Tanaka & Tsuyoshi Harimoto & Junpei Motoyama, 2020. "Voltage Reduction in Medium Voltage Distribution Systems Using Constant Power Factor Control of PV PCS," Energies, MDPI, vol. 13(20), pages 1-17, October.
    5. Kang, Wenfa & Chen, Minyou & Guan, Yajuan & Wei, Baoze & Vasquez Q., Juan C. & Guerrero, Josep M., 2022. "Event-triggered distributed voltage regulation by heterogeneous BESS in low-voltage distribution networks," Applied Energy, Elsevier, vol. 312(C).
    6. Iria, José & Heleno, Miguel & Cardoso, Gonçalo, 2019. "Optimal sizing and placement of energy storage systems and on-load tap changer transformers in distribution networks," Applied Energy, Elsevier, vol. 250(C), pages 1147-1157.
    7. Daisuke Iioka & Kenichi Kusano & Takahiro Matsuura & Hiromu Hamada & Teru Miyazaki, 2022. "Appropriate Volt–Var Curve Settings for PV Inverters Based on Distribution Network Characteristics Using Match Rate of Operating Point," Energies, MDPI, vol. 15(4), pages 1-19, February.
    8. Ndamulelo Tshivhase & Ali N. Hasan & Thokozani Shongwe, 2020. "Proposed Fuzzy Logic System for Voltage Regulation and Power Factor Improvement in Power Systems with High Infiltration of Distributed Generation," Energies, MDPI, vol. 13(16), pages 1-23, August.
    9. Wasiak, Irena & Szypowski, Michał & Kelm, Paweł & Mieński, Rozmysław & Wędzik, Andrzej & Pawełek, Ryszard & Małaczek, Michał & Urbanek, Przemysław, 2022. "Innovative energy management system for low-voltage networks with distributed generation based on prosumers’ active participation," Applied Energy, Elsevier, vol. 312(C).
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