IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i11p2807-d366069.html
   My bibliography  Save this article

Methodology for Tuning MTDC Supervisory and Frequency-Response Control Systems at Terminal Level under Over-Frequency Events

Author

Listed:
  • Marta Haro-Larrode

    (Department of Electrical Engineering, University of the Basque Country (Spain), 48013 Bilbao, Spain)

  • Maider Santos-Mugica

    (Tecnalia Research and Innovation (Spain), 48160 Derio, Spain)

  • Agurtzane Etxegarai

    (Department of Electrical Engineering, University of the Basque Country (Spain), 48013 Bilbao, Spain)

  • Pablo Eguia

    (Department of Electrical Engineering, University of the Basque Country (Spain), 48013 Bilbao, Spain)

Abstract

This paper proposes a methodology for tuning a supervisory and frequency-response outer loop control system of a multi-terminal direct current (MTDC) grid designed to transmit offshore wind energy to an onshore AC grid, and to provide frequency support during over-frequency events. The control structure is based on a master–slave scheme and ensures the achievement of frequency response, with specific implementation of the UK national grid code limited-frequency sensitive (LFSM) and frequency-sensitive (FSM) modes. The onshore AC grid is modelled with an equivalent frequency-response model to simulate the onshore AC grid dynamics under frequency deviations. The main innovation of this paper is the development of a methodology for tuning simultaneously two hierarchical levels of a MTDC coordinated control structure, i.e., the MTDC supervisor, given by the active power set point for slave terminal, and the slope of frequency-response functions at onshore terminals. Based on these two hierarchical levels, different strategies are evaluated in terms of frequency peak reductions and change of the frequency order type. Moreover, tuning guidance is given when a different MTDC control structure or different synchronous generator characteristics of the onshore AC grid are considered.

Suggested Citation

  • Marta Haro-Larrode & Maider Santos-Mugica & Agurtzane Etxegarai & Pablo Eguia, 2020. "Methodology for Tuning MTDC Supervisory and Frequency-Response Control Systems at Terminal Level under Over-Frequency Events," Energies, MDPI, vol. 13(11), pages 1-20, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2807-:d:366069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/11/2807/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/11/2807/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hao Wang & Yue Wang & Guozhao Duan & Weihao Hu & Wenti Wang & Zhe Chen, 2017. "An Improved Droop Control Method for Multi-Terminal VSC-HVDC Converter Stations," Energies, MDPI, vol. 10(7), pages 1-13, June.
    2. Meng, Jian & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qu, Bo, 2016. "Dynamic frequency response from electric vehicles considering travelling behavior in the Great Britain power system," Applied Energy, Elsevier, vol. 162(C), pages 966-979.
    3. Etxegarai, Agurtzane & Eguia, Pablo & Torres, Esther & Buigues, Garikoitz & Iturregi, Araitz, 2017. "Current procedures and practices on grid code compliance verification of renewable power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 191-202.
    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. Jelena Stojković & Aleksandra Lekić & Predrag Stefanov, 2020. "Adaptive Control of HVDC Links for Frequency Stability Enhancement in Low-Inertia Systems," Energies, MDPI, vol. 13(23), pages 1-20, November.

    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. Brady, John & O’Mahony, Margaret, 2016. "Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas," Applied Energy, Elsevier, vol. 177(C), pages 165-178.
    2. Liu, Hui & Huang, Kai & Wang, Ni & Qi, Junjian & Wu, Qiuwei & Ma, Shicong & Li, Canbing, 2019. "Optimal dispatch for participation of electric vehicles in frequency regulation based on area control error and area regulation requirement," Applied Energy, Elsevier, vol. 240(C), pages 46-55.
    3. Muhssin, Mazin T. & Cipcigan, Liana M. & Sami, Saif Sabah & Obaid, Zeyad Assi, 2018. "Potential of demand side response aggregation for the stabilization of the grids frequency," Applied Energy, Elsevier, vol. 220(C), pages 643-656.
    4. Shimi Sudha Letha & Math H. J. Bollen & Tatiano Busatto & Angela Espin Delgado & Enock Mulenga & Hamed Bakhtiari & Jil Sutaria & Kazi Main Uddin Ahmed & Naser Nakhodchi & Selçuk Sakar & Vineetha Ravin, 2023. "Power Quality Issues of Electro-Mobility on Distribution Network—An Overview," Energies, MDPI, vol. 16(13), pages 1-21, June.
    5. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Xu, Xiandong & Yu, Xiaodan, 2016. "Optimal day-ahead scheduling of integrated urban energy systems," Applied Energy, Elsevier, vol. 180(C), pages 1-13.
    6. Abubakr, Hussein & Lashab, Abderezak & Vasquez, Juan C. & Mohamed, Tarek Hassan & Guerrero, Josep M., 2023. "Novel V2G regulation scheme using Dual-PSS for PV islanded microgrid," Applied Energy, Elsevier, vol. 340(C).
    7. Mousavizade, Mirsaeed & Bai, Feifei & Garmabdari, Rasoul & Sanjari, Mohammad & Taghizadeh, Foad & Mahmoudian, Ali & Lu, Junwei, 2023. "Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations," Applied Energy, Elsevier, vol. 341(C).
    8. Liao, Siyang & Xu, Jian & Sun, Yuanzhang & Bao, Yi, 2018. "Local utilization of wind electricity in isolated power systems by employing coordinated control scheme of industrial energy-intensive load," Applied Energy, Elsevier, vol. 217(C), pages 14-24.
    9. Matteo Fresia & Stefano Bracco, 2023. "Electric Vehicle Fleet Management for a Prosumer Building with Renewable Generation," Energies, MDPI, vol. 16(20), pages 1-16, October.
    10. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2016. "Low carbon technologies as providers of operational flexibility in future power systems," Applied Energy, Elsevier, vol. 168(C), pages 724-738.
    11. Jia, Hongjie & Li, Xiaomeng & Mu, Yunfei & Xu, Chen & Jiang, Yilang & Yu, Xiaodan & Wu, Jianzhong & Dong, Chaoyu, 2018. "Coordinated control for EV aggregators and power plants in frequency regulation considering time-varying delays," Applied Energy, Elsevier, vol. 210(C), pages 1363-1376.
    12. Weipeng Yang & Aimin Zhang & Jungang Li & Guoqi Li & Hang Zhang & Jianhua Wang, 2017. "Integral Plus Resonant Sliding Mode Direct Power Control for VSC-HVDC Systems under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(10), pages 1-17, October.
    13. Hanemann, Philipp & Behnert, Marika & Bruckner, Thomas, 2017. "Effects of electric vehicle charging strategies on the German power system," Applied Energy, Elsevier, vol. 203(C), pages 608-622.
    14. Teng, Fei & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Zeng, Pingliang & Strbac, Goran, 2017. "Challenges on primary frequency control and potential solution from EVs in the future GB electricity system," Applied Energy, Elsevier, vol. 194(C), pages 353-362.
    15. Zhou, Yue & Wu, Jianzhong & Song, Guanyu & Long, Chao, 2020. "Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community," Applied Energy, Elsevier, vol. 278(C).
    16. Aixin Yang & Guiqing Zhang & Chenlu Tian & Wei Peng & Yechun Liu, 2024. "Charging Behavior Portrait of Electric Vehicle Users Based on Fuzzy C-Means Clustering Algorithm," Energies, MDPI, vol. 17(7), pages 1-27, March.
    17. Alexis B. Rey-Boué & N. F. Guerrero-Rodríguez & Johannes Stöckl & Thomas I. Strasser, 2019. "Modeling and Design of the Vector Control for a Three-Phase Single-Stage Grid-Connected PV System with LVRT Capability according to the Spanish Grid Code," Energies, MDPI, vol. 12(15), pages 1-28, July.
    18. Jordan P. Sausen & Alzenira R. Abaide & Juan C. Vasquez & Josep M. Guerrero, 2022. "Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling," Energies, MDPI, vol. 15(10), pages 1-18, May.
    19. Liu, Hui & Wang, Bin & Wang, Ni & Wu, Qiuwei & Yang, Yude & Wei, Hua & Li, Canbing, 2018. "Enabling strategies of electric vehicles for under frequency load shedding," Applied Energy, Elsevier, vol. 228(C), pages 843-851.
    20. Fahad Alsokhiry & Grain Philip Adam, 2020. "Multi-Port DC-DC and DC-AC Converters for Large-Scale Integration of Renewable Power Generation," Sustainability, MDPI, vol. 12(20), pages 1-21, 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:13:y:2020:i:11:p:2807-:d:366069. 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.