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Power-Balancing Based Induction Machine Model for Power System Dynamic Analysis in Electromechanical Timescale

Author

Listed:
  • Ding Wang

    (State Key Laboratory of Advanced Electromagnetic Engineering Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Xiaoming Yuan

    (State Key Laboratory of Advanced Electromagnetic Engineering Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Meiqing Zhang

    (State Key Laboratory of Advanced Electromagnetic Engineering Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Power balance, including active and reactive power, between the system supply and the demand from induction motor loads is a potentially necessary condition for system stable operation. Motion of system states depends on the balancing of active and reactive powers. Therefore, this paper proposes an induction machine model in electromechanical timescale from a power balancing viewpoint, in which the induction motor load is modeled as a voltage vector driven by power balancing between the system supply and the demand from induction motor load, so as to describe the dynamic characteristics of induction motor loads in a physical way for power system dynamic analysis. Then a voltage magnitude-phase dynamic analysis with the proposed induction machine model is constructed. Based on the voltage magnitude-phase dynamic analysis, the characteristics of grid-connected induction motor loads are explored, and the instability mechanisms of grid-connected induction motor loads induced by a large disturbance are discussed. It is shown that the dynamic behavior of grid-connected induction motor loads can be described as the dynamic process of the terminal voltage vector driven by coupled active and reactive power balancing in different timescales. In this way, the dynamic behavior of induction motor loads in terms of voltage magnitude-phase dynamics and its physical characteristics are clearly illustrated. Time-domain simulation results are presented to validate the above analyses.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:438-:d:132087
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    References listed on IDEAS

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    1. Christos-Spyridon Karavas & Konstantinos Arvanitis & George Papadakis, 2017. "A Game Theory Approach to Multi-Agent Decentralized Energy Management of Autonomous Polygeneration Microgrids," Energies, MDPI, vol. 10(11), pages 1-22, November.
    2. Ian Dobson, 2016. "Electricity grid: When the lights go out," Nature Energy, Nature, vol. 1(5), pages 1-2, May.
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    Cited by:

    1. 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.
    2. 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.

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