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Study on the Method for Analyzing Electric Network Resonance Stability

Author

Listed:
  • Zheng Xu

    (Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Shijia Wang

    (Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Facai Xing

    (Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Huangqing Xiao

    (Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

With the increasing utilization of power electronic equipment in power systems, there has been an increase in the occurrence of oscillatory behavior from unknown sources in recent years. This paper puts forward the concept of electric network resonance stability (ENRS) analysis and tries to classify the above-mentioned oscillations into the category of ENRS. With this method, many complex power system oscillations can be analyzed with the linear network theory, which is mathematically mature. The objective of this paper is to establish a systematic approach to analyze ENRS. By introducing the s-domain nodal admittance matrix (NAM) of the electric network, this paper transforms the judgment of ENRS into the zero-point solution of the determinant of the s-domain NAM. First, the zero-points of the determinant of the s-domain NAM are proved to correspond to the eigenvalues of the system. Then, a systematic approach is proposed to analyze ENRS, which includes the identification of the dominant resonance region and the determination of the key components related to resonance modes. The effectiveness of the proposed approach for analyzing ENRS is illustrated through case studies.

Suggested Citation

  • Zheng Xu & Shijia Wang & Facai Xing & Huangqing Xiao, 2018. "Study on the Method for Analyzing Electric Network Resonance Stability," Energies, MDPI, vol. 11(3), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:646-:d:136242
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    Citations

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    Cited by:

    1. Facai Xing & Zheng Xu & Zheren Zhang & Yangqing Dan & Yanwei Zhu, 2020. "Resonance Stability Analysis of Large-Scale Wind Power Bases with Type-IV Wind Generators," Energies, MDPI, vol. 13(19), pages 1-15, October.
    2. Zheng Xu, 2022. "Three Technical Challenges Faced by Power Systems in Transition," Energies, MDPI, vol. 15(12), pages 1-21, June.
    3. Giorgio M. Giannuzzi & Viktoriya Mostova & Cosimo Pisani & Salvatore Tessitore & Alfredo Vaccaro, 2022. "Enabling Technologies for Enhancing Power System Stability in the Presence of Converter-Interfaced Generators," Energies, MDPI, vol. 15(21), pages 1-13, October.

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