IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p2987-d1106847.html
   My bibliography  Save this article

Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response

Author

Listed:
  • Zhen Tang

    (State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China)

  • Guoxing Mu

    (Dispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, China)

  • Jie Pan

    (Dispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, China)

  • Zhiwei Xue

    (Dispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, China)

  • Hong Yang

    (State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China)

  • Mingyang Mei

    (School of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zhihao Zhang

    (School of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Peng Kou

    (School of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

Renewable energy sources have been characterized by a persistent and rapid proliferation, which has resulted in a notable reduction in grid inertia over an extended period. There is a widely held belief that the primary source of inertia within the grid stems from generation-side conventional units. However, in power consumption, a significant number of induction motors are present, which can inherently offer rotational inertia by virtue of their kinetic energy. To investigate the influence of induction motors on grid inertia, in this paper, we propose two types of models, i.e., a detailed grid model and a dynamic equivalent model that considers multiple induction motors. Specifically, the detailed grid model with multiple induction motors is first established. However, the detailed model requires the specific parameters of induction motors, which are hard to acquire in large systems. Moreover, the accuracy of the model is unsatisfactory. To fill these gaps, the dynamic equivalent model (DEM) is further proposed to emulate the detailed model. Compared with the detailed model, the proposed dynamic equivalent model is structurally simple and does not require the specific parameters of induction motors. Therefore, it is possible to apply to large systems for investigating the influence of induction motors on grid frequency dynamics. A genetic algorithm is introduced in order to figure out the parameters of the proposed dynamic equivalent model from historical frequency data. The proposed detailed model and dynamic equivalent model are evaluated on the IEEE 9-bus system in MATLAB and SimPowerSystems toolbox.

Suggested Citation

  • Zhen Tang & Guoxing Mu & Jie Pan & Zhiwei Xue & Hong Yang & Mingyang Mei & Zhihao Zhang & Peng Kou, 2023. "Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response," Energies, MDPI, vol. 16(7), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:2987-:d:1106847
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/2987/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/7/2987/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ding Wang & Xiaoming Yuan & Meiqing Zhang, 2018. "Power-Balancing Based Induction Machine Model for Power System Dynamic Analysis in Electromechanical Timescale," Energies, MDPI, vol. 11(2), pages 1-17, February.
    2. Christoffer Fjellstedt & Md Imran Ullah & Johan Forslund & Erik Jonasson & Irina Temiz & Karin Thomas, 2022. "A Review of AC and DC Collection Grids for Offshore Renewable Energy with a Qualitative Evaluation for Marine Energy Resources," Energies, MDPI, vol. 15(16), pages 1-26, August.
    3. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
    4. Shi-Min Xue & Chong Liu, 2018. "Line-to-Line Fault Analysis and Location in a VSC-Based Low-Voltage DC Distribution Network," Energies, MDPI, vol. 11(3), pages 1-16, March.
    5. Muhammed Y. Worku & Mohamed A. Hassan & Mohamed A. Abido, 2019. "Real Time Energy Management and Control of Renewable Energy based Microgrid in Grid Connected and Island Modes," Energies, MDPI, vol. 12(2), pages 1-18, January.
    6. Angelo Lunardi & Luís F. Normandia Lourenço & Enkhtsetseg Munkhchuluun & Lasantha Meegahapola & Alfeu J. Sguarezi Filho, 2022. "Grid-Connected Power Converters: An Overview of Control Strategies for Renewable Energy," Energies, MDPI, vol. 15(11), pages 1-33, June.
    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. Miroslaw Parol & Jacek Wasilewski & Tomasz Wojtowicz & Bartlomiej Arendarski & Przemyslaw Komarnicki, 2022. "Reliability Analysis of MV Electric Distribution Networks Including Distributed Generation and ICT Infrastructure," Energies, MDPI, vol. 15(14), pages 1-34, July.
    2. Luis Santiago Azuara-Grande & Santiago Arnaltes & Jaime Alonso-Martinez & Jose Luis Rodriguez-Amenedo, 2021. "Comparison of Two Energy Management System Strategies for Real-Time Operation of Isolated Hybrid Microgrids," Energies, MDPI, vol. 14(20), pages 1-15, October.
    3. Miloud Rezkallah & Sanjeev Singh & Ambrish Chandra & Bhim Singh & Hussein Ibrahim, 2020. "Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources," Energies, MDPI, vol. 13(18), pages 1-25, September.
    4. Hafize Nurgul Durmus Senyapar & Ramazan Bayindir, 2023. "The Research Agenda on Smart Grids: Foresights for Social Acceptance," Energies, MDPI, vol. 16(18), pages 1-31, September.
    5. Kokou Amega & Yendoubé Laré & Ramchandra Bhandari & Yacouba Moumouni & Aklesso Y. G. Egbendewe & Windmanagda Sawadogo & Saidou Madougou, 2022. "Solar Energy Powered Decentralized Smart-Grid for Sustainable Energy Supply in Low-Income Countries: Analysis Considering Climate Change Influences in Togo," Energies, MDPI, vol. 15(24), pages 1-24, December.
    6. Saheb Khanabdal & Mahdi Banejad & Frede Blaabjerg & Nasser Hosseinzadeh, 2021. "A Novel Power Sharing Strategy Based on Virtual Flux Droop and Model Predictive Control for Islanded Low-Voltage AC Microgrids," Energies, MDPI, vol. 14(16), pages 1-17, August.
    7. Sohail Sarwar & Desen Kirli & Michael M. C. Merlin & Aristides E. Kiprakis, 2022. "Major Challenges towards Energy Management and Power Sharing in a Hybrid AC/DC Microgrid: A Review," Energies, MDPI, vol. 15(23), pages 1-30, November.
    8. Marco Galici & Mario Mureddu & Emilio Ghiani & Fabrizio Pilo, 2022. "Blockchain-Based Hardware-in-the-Loop Simulation of a Decentralized Controller for Local Energy Communities," Energies, MDPI, vol. 15(20), pages 1-25, October.
    9. Anindya Ray & Kaushik Rajashekara, 2023. "Electrification of Offshore Oil and Gas Production: Architectures and Power Conversion," Energies, MDPI, vol. 16(15), pages 1-19, August.
    10. Alizadeh, Ali & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud, 2023. "Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    11. Shengli Du & Mingchao Li & Shuai Han & Jonathan Shi & Heng Li, 2019. "Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive Load Monitoring Data," Energies, MDPI, vol. 12(6), pages 1-20, March.
    12. Abdelfettah Kerboua & Fouad Boukli-Hacene & Khaldoon A Mourad, 2020. "Particle Swarm Optimization for Micro-Grid Power Management and Load Scheduling," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 71-80.
    13. Maciej Slowik & Wieslaw Urban, 2022. "Machine Learning Short-Term Energy Consumption Forecasting for Microgrids in a Manufacturing Plant," Energies, MDPI, vol. 15(9), pages 1-16, May.
    14. Yan Xu & Jingyan Liu & Weijia Jin & Yuan Fu & Hui Yang, 2018. "Fault Location Method for DC Distribution Systems Based on Parameter Identification," Energies, MDPI, vol. 11(8), pages 1-18, July.
    15. Ran Tao & Jingpeng Yue & Zhenlin Huang & Ranran An & Zou Li & Junfeng Liu, 2022. "A High-Gain DC Side Converter with a Ripple-Free Input Current for Offshore Wind Energy Systems," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    16. Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Roberto C. Leborgne & Luís A. Pereira, 2022. "A Framework for Reliability Assessment in Expansion Planning of Power Distribution Systems," Energies, MDPI, vol. 15(14), pages 1-24, July.
    17. Saeed Zaman Jamali & Syed Basit Ali Bukhari & Muhammad Omer Khan & Muhammad Mehdi & Chul-Ho Noh & Gi-Hyeon Gwon & Chul-Hwan Kim, 2018. "Protection Scheme of a Last Mile Active LVDC Distribution Network with Reclosing Option," Energies, MDPI, vol. 11(5), pages 1-20, April.
    18. Blanco, Herib & Leaver, Jonathan & Dodds, Paul E. & Dickinson, Robert & García-Gusano, Diego & Iribarren, Diego & Lind, Arne & Wang, Changlong & Danebergs, Janis & Baumann, Martin, 2022. "A taxonomy of models for investigating hydrogen energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    19. Moamin A. Mahmoud & Naziffa Raha Md Nasir & Mathuri Gurunathan & Preveena Raj & Salama A. Mostafa, 2021. "The Current State of the Art in Research on Predictive Maintenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review," Energies, MDPI, vol. 14(16), pages 1-27, August.
    20. Joel Alpízar-Castillo & Laura Ramirez-Elizondo & Pavol Bauer, 2022. "Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review," Energies, MDPI, vol. 16(1), pages 1-31, December.

    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:16:y:2023:i:7:p:2987-:d:1106847. 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.