IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i20p5390-d428748.html
   My bibliography  Save this article

Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia

Author

Listed:
  • Martha N. Acosta

    (Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, 3918 Porsgrunn, Norway
    School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, San Nicolas de los Garza 66455, NL, Mexico)

  • Choidorj Adiyabazar

    (Power System Analysis and Research Department, National Dispatching Center Co. Ltd., Ulaanbaatar 17032, Mongolia)

  • Francisco Gonzalez-Longatt

    (Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, 3918 Porsgrunn, Norway)

  • Manuel A. Andrade

    (School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, San Nicolas de los Garza 66455, NL, Mexico)

  • José Rueda Torres

    (Department of Electrical Sustainable Energy, Delft University of Technology (TU Delft), 2628 Delft, The Netherlands)

  • Ernesto Vazquez

    (School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, San Nicolas de los Garza 66455, NL, Mexico)

  • Jesús Manuel Riquelme Santos

    (Department of Electrical Engineering, Universidad de Sevilla, 41004 Seville, Spain)

Abstract

The Altai-Uliastai regional power system (AURPS) is a regional power system radially interconnected to the power system of Mongolia. The 110 kV interconnection is exceptionally long and susceptible to frequent trips because of weather conditions. The load-rich and low-inertia AURPS must be islanded during interconnection outages, and the under-frequency load shedding (UFLS) scheme must act to ensure secure operation. Traditional UFLS over-sheds local demand, negatively affecting the local population, especially during the cold Mongolian winter season. This research paper proposes a novel methodology to optimally calculate the settings of the UFLS scheme, where each parameter of the scheme is individually adjusted to minimise the total amount of disconnected load. This paper presents a computationally efficient methodology that is illustrated in a specially created co-simulation environment (DIgSILENT ® PowerFactory TM + Python). The results demonstrate an outstanding performance of the proposed approach when compared with the traditional one.

Suggested Citation

  • Martha N. Acosta & Choidorj Adiyabazar & Francisco Gonzalez-Longatt & Manuel A. Andrade & José Rueda Torres & Ernesto Vazquez & Jesús Manuel Riquelme Santos, 2020. "Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia," Energies, MDPI, vol. 13(20), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5390-:d:428748
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/20/5390/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/20/5390/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martha N. Acosta & Daniel Pettersen & Francisco Gonzalez-Longatt & Jaime Peredo Argos & Manuel A. Andrade, 2020. "Optimal Frequency Support of Variable-Speed Hydropower Plants at Telemark and Vestfold, Norway: Future Scenarios of Nordic Power System," Energies, MDPI, vol. 13(13), pages 1-25, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Caputo, Cesare & Cardin, Michel-Alexandre & Ge, Pudong & Teng, Fei & Korre, Anna & Antonio del Rio Chanona, Ehecatl, 2023. "Design and planning of flexible mobile Micro-Grids using Deep Reinforcement Learning," Applied Energy, Elsevier, vol. 335(C).
    2. Francisco Gonzalez-Longatt & Choidorj Adiyabazar & Ernesto Vazquez Martinez, 2021. "Setting and Testing of the Out-of-Step Protection at Mongolian Transmission System," Energies, MDPI, vol. 14(23), pages 1-35, December.
    3. Ying-Yi Hong & Chih-Yang Hsiao, 2021. "Event-Based Under-Frequency Load Shedding Scheme in a Standalone Power System," Energies, MDPI, vol. 14(18), pages 1-19, September.

    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. Gustavo Adolfo Gómez-Ramírez & Carlos Meza & Gonzalo Mora-Jiménez & José Rodrigo Rojas Morales & Luis García-Santander, 2023. "The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition," Energies, MDPI, vol. 16(11), pages 1-20, May.
    2. Martha N. Acosta & Francisco Gonzalez-Longatt & Danijel Topić & Manuel A. Andrade, 2021. "Optimal Microgrid–Interactive Reactive Power Management for Day–Ahead Operation," Energies, MDPI, vol. 14(5), pages 1-20, February.
    3. Martha N. Acosta & Francisco Gonzalez-Longatt & Manuel A. Andrade & José Luis Rueda Torres & Harold R. Chamorro, 2021. "Assessment of Daily Cost of Reactive Power Procurement by Smart Inverters," Energies, MDPI, vol. 14(16), pages 1-11, August.
    4. Martha N. Acosta & Francisco Gonzalez-Longatt & Juan Manuel Roldan-Fernandez & Manuel Burgos-Payan, 2021. "A Coordinated Control of Offshore Wind Power and BESS to Provide Power System Flexibility," Energies, MDPI, vol. 14(15), pages 1-17, July.
    5. SungHoon Lim & Taewan Kim & Kipo Yoon & DongHee Choi & Jung-Wook Park, 2022. "A Study on Frequency Stability and Primary Frequency Response of the Korean Electric Power System Considering the High Penetration of Wind Power," Energies, MDPI, vol. 15(5), pages 1-16, February.
    6. Nedaei, Mojtaba & Walsh, Philip R., 2022. "Technical performance evaluation and optimization of a run-of-river hydropower facility," Renewable Energy, Elsevier, vol. 182(C), pages 343-362.

    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:13:y:2020:i:20:p:5390-:d:428748. 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.