IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6473-d906862.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6473/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/17/6473/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emrani-Rahaghi, Pouria & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2023. "Efficient voltage control of low voltage distribution networks using integrated optimized energy management of networked residential multi-energy microgrids," Applied Energy, Elsevier, vol. 349(C).
    2. Zhao, Yincheng & Zhang, Guozhou & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2023. "Meta-learning based voltage control strategy for emergency faults of active distribution networks," Applied Energy, Elsevier, vol. 349(C).
    3. Xiangdong Wang & Lei Wang & Wenfa Kang & Tiecheng Li & Hao Zhou & Xuekai Hu & Kai Sun, 2022. "Distributed Nodal Voltage Regulation Method for Low-Voltage Distribution Networks by Sharing PV System Reactive Power," Energies, MDPI, vol. 16(1), pages 1-15, December.
    4. Jerez Monsalves, Juan & Bergaentzlé, Claire & Keles, Dogan, 2023. "Impacts of flexible-cooling and waste-heat recovery from data centres on energy systems: A Danish case study," Energy, Elsevier, vol. 281(C).
    5. Wei, Jingdong & Zhang, Yao & Wang, Jianxue & Cao, Xiaoyu & Khan, Muhammad Armoghan, 2020. "Multi-period planning of multi-energy microgrid with multi-type uncertainties using chance constrained information gap decision method," Applied Energy, Elsevier, vol. 260(C).
    6. Męczyński Michał & Ciesiółka Przemysław, 2022. "Regional Green Transition: Cases of Polish and Russian Regions," Quaestiones Geographicae, Sciendo, vol. 41(4), pages 165-177, December.
    7. Iria, José & Scott, Paul & Attarha, Ahmad, 2020. "Network-constrained bidding optimization strategy for aggregators of prosumers," Energy, Elsevier, vol. 207(C).
    8. Marija Miletić & Hrvoje Pandžić & Dechang Yang, 2020. "Operating and Investment Models for Energy Storage Systems," Energies, MDPI, vol. 13(18), pages 1-33, September.
    9. Vincent Umoh & Innocent Davidson & Abayomi Adebiyi & Unwana Ekpe, 2023. "Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review," Energies, MDPI, vol. 16(8), pages 1-25, April.
    10. Juan D. Velásquez & Lorena Cadavid & Carlos J. Franco, 2023. "Intelligence Techniques in Sustainable Energy: Analysis of a Decade of Advances," Energies, MDPI, vol. 16(19), pages 1-45, October.
    11. Alexander Micallef & Cyril Spiteri Staines & John Licari, 2022. "Renewable Energy Communities in Islands: A Maltese Case Study," Energies, MDPI, vol. 15(24), pages 1-21, December.
    12. Yu Fujimoto & Akihisa Kaneko & Yutaka Iino & Hideo Ishii & Yasuhiro Hayashi, 2023. "Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects," Energies, MDPI, vol. 16(3), pages 1-26, January.
    13. Lüth, Alexandra & Werner, Yannick & Egging-Bratseth, Ruud & Kazempour, Jalal, 2022. "Electrolysis as a Flexibility Resource on Energy Islands: The Case of the North Sea," Working Papers 13-2022, Copenhagen Business School, Department of Economics.
    14. Panda, Deepak Kumar & Das, Saptarshi, 2021. "Economic operational analytics for energy storage placement at different grid locations and contingency scenarios with stochastic wind profiles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    15. Zhenming Li & Yunfeng Yan & Donglian Qi & Shuo Yan & Minghao Wang, 2022. "Distributed Voltage Optimization Control of BESS in AC Distribution Networks with High PV Penetration," Energies, MDPI, vol. 15(11), pages 1-14, June.
    16. Coelho, António & Iria, José & Soares, Filipe, 2021. "Network-secure bidding optimization of aggregators of multi-energy systems in electricity, gas, and carbon markets," Applied Energy, Elsevier, vol. 301(C).
    17. Rikke Lybæk & Tyge Kjær, 2023. "Valorizing the Input and Output Waste Streams from Three PtX Case Studies in Denmark—Adopting a Symbiotic Approach," Waste, MDPI, vol. 1(4), pages 1-17, October.
    18. Kim, Hakpyeong & Choi, Heeju & Kang, Hyuna & An, Jongbaek & Yeom, Seungkeun & Hong, Taehoon, 2021. "A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    19. Li, Jinghua & Lu, Bo & Wang, Zhibang & Zhu, Mengshu, 2021. "Bi-level optimal planning model for energy storage systems in a virtual power plant," Renewable Energy, Elsevier, vol. 165(P2), pages 77-95.
    20. Robert Małkowski & Michał Izdebski & Piotr Miller, 2020. "Adaptive Algorithm of a Tap-Changer Controller of the Power Transformer Supplying the Radial Network Reducing the Risk of Voltage Collapse," Energies, MDPI, vol. 13(20), pages 1-25, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6473-:d:906862. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.