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Inertia Identification and Analysis for High-Power-Electronic-Penetrated Power System Based on Measurement Data

Author

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  • Zhentao Xu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Junjie Ma

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
    College of Computer Science, Hunan First Normal University, Changsha 410221, China)

  • Yousong Gao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yong Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Haifeng Yu

    (Economic & Technical Research Institute, State Grid Hunan Electric Power Company Limited, Changsha 410004, China)

  • Lu Wang

    (Economic & Technical Research Institute, State Grid Hunan Electric Power Company Limited, Changsha 410004, China)

Abstract

With the gradual increases in the use of wind power and photovoltaic generation, the penetration rate of power electronics has increased in recent years. The inertia characteristics of power-electronic-based power sources are different from those of synchronous generators, making the evaluation of inertia difficult. In this paper, the inertia characteristics of power-electronic-based power sources are analyzed. A measurement-based inertia identification method for power-electronic-based power sources, as well as for high-power-electronic-penetrated power systems, is proposed by fitting the frequency and power data. The inertia characteristics of different control strategies and corresponding control parameters are discussed in a case study. It was proven that the inertia provided by power-electronic-based power sources can be much higher than that provided by a synchronous generator of the same capacity. It was also proven that the inertia provided by power-electronic-based power sources is not a constant value, but changes along with the output power of the sources.

Suggested Citation

  • Zhentao Xu & Junjie Ma & Yousong Gao & Yong Li & Haifeng Yu & Lu Wang, 2023. "Inertia Identification and Analysis for High-Power-Electronic-Penetrated Power System Based on Measurement Data," Energies, MDPI, vol. 16(10), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4101-:d:1147418
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    References listed on IDEAS

    as
    1. Guido Rossetto Moraes & Valentin Ilea & Alberto Berizzi & Cosimo Pisani & Giorgio Giannuzzi & Roberto Zaottini, 2021. "A Perturbation-Based Methodology to Estimate the Equivalent Inertia of an Area Monitored by PMUs," Energies, MDPI, vol. 14(24), pages 1-23, December.
    2. Md. Shafiul Alam & Tanzi Ahmed Chowdhury & Abhishak Dhar & Fahad Saleh Al-Ismail & M. S. H. Choudhury & Md Shafiullah & Md. Ismail Hossain & Md. Alamgir Hossain & Aasim Ullah & Syed Masiur Rahman, 2023. "Solar and Wind Energy Integrated System Frequency Control: A Critical Review on Recent Developments," Energies, MDPI, vol. 16(2), pages 1-31, January.
    3. Stelios C. Dimoulias & Eleftherios O. Kontis & Grigoris K. Papagiannis, 2022. "Inertia Estimation of Synchronous Devices: Review of Available Techniques and Comparative Assessment of Conventional Measurement-Based Approaches," Energies, MDPI, vol. 15(20), pages 1-30, October.
    Full references (including those not matched with items on IDEAS)

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