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Three Technical Challenges Faced by Power Systems in Transition

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  • Zheng Xu

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

Abstract

In the 21st century, the worldwide concern about global warming has forced energy to transform in the direction of low-carbon and non-carbon. The utilization of renewable energy is developing rapidly, which makes the non-synchronous generator sources become the main part of the newly added power sources. Based on the fundamentals of AC power grid operation, this paper describes three technical challenges faced by the power system in transition: the inadequacy of the classic synchronization stability concept in representing the new synchronization connotation of AC power systems with large proportion of non-synchronous generator sources; the inapplicability of the electromechanical transient analysis method in analyzing the generalized synchronization stability; and the wideband resonance instability caused by negative resistance of power electronic equipment. The decisive factors for maintaining the generalized synchronization stability, the countermeasure to solve the inapplicability of the electromechanical transient analysis method and a systematic approach to tackle the broadband resonance instability are proposed in the paper.

Suggested Citation

  • Zheng Xu, 2022. "Three Technical Challenges Faced by Power Systems in Transition," Energies, MDPI, vol. 15(12), pages 1-21, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4473-:d:842722
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    References listed on IDEAS

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    1. Stanisław Duer & Jan Valicek & Jacek Paś & Marek Stawowy & Dariusz Bernatowicz & Radosław Duer & Marcin Walczak, 2021. "Neural Networks in the Diagnostics Process of Low-Power Solar Plant Devices," Energies, MDPI, vol. 14(9), pages 1-18, May.
    2. Mostafaeipour, Ali & Bidokhti, Abbas & Fakhrzad, Mohammad-Bagher & Sadegheih, Ahmad & Zare Mehrjerdi, Yahia, 2022. "A new model for the use of renewable electricity to reduce carbon dioxide emissions," Energy, Elsevier, vol. 238(PA).
    3. 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.
    4. Seneviratne, Chinthaka & Ozansoy, C., 2016. "Frequency response due to a large generator loss with the increasing penetration of wind/PV generation – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 659-668.
    5. 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.
    6. Stanisław Duer, 2020. "Assessment of the Operation Process of Wind Power Plant’s Equipment with the Use of an Artificial Neural Network," Energies, MDPI, vol. 13(10), pages 1-17, May.
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    Cited by:

    1. Zheng Xu & Nan Zhang & Zheren Zhang & Ying Huang, 2023. "The Definition of Power Grid Strength and Its Calculation Methods for Power Systems with High Proportion Nonsynchronous-Machine Sources," Energies, MDPI, vol. 16(4), pages 1-23, February.

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