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Investigating the Impact of Induction Motor Starting on Grid-Forming Inverter-Based Microgrid

  • Vineeth Patil*
  • , Sukumar Mishra
  • , Ankit Singhal
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Microgrids using inverter-based resources (IBR) are becoming increasingly popular due to the sharp rise in energy consumption. With well-defined frequency and voltage droop control algorithms, these microgrids use parallel linked inverters that exchange power according to their ratings. With increased penetration of IBRs, stable islanded operation of a microgrid is aspired irrespective of the connected load. The induction motor starting either draws a high inrush current or currents with harmonic content. This current nature can interfere with the grid-forming (GFM) inverter control loops and create complications in the islanded microgrid. This paper considers different starting methods of induction motors connected to a GFM, and a comparison concerning starting current, voltage drop, frequency drop, and total harmonic distortion (THD) is carried out. The analysis is supported through simulations using MATLAB/Simulink.

    Original languageEnglish
    Title of host publicationConference Proceedings - 13th IEEE Power and Energy Society
    Subtitle of host publicationInnovative Smart Grid Technologies - Asia, ISGT Asia 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350373929
    DOIs
    Publication statusPublished - 2024
    Event13th IEEE Power and Energy Society: Innovative Smart Grid Technologies - Asia, ISGT Asia 2024 - Bengaluru, India
    Duration: 10-11-202413-11-2024

    Publication series

    NameConference Proceedings - 13th IEEE Power and Energy Society: Innovative Smart Grid Technologies - Asia, ISGT Asia 2024

    Conference

    Conference13th IEEE Power and Energy Society: Innovative Smart Grid Technologies - Asia, ISGT Asia 2024
    Country/TerritoryIndia
    CityBengaluru
    Period10-11-2413-11-24

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Electrical and Electronic Engineering
    • Control and Optimization
    • Safety, Risk, Reliability and Quality

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