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Inertia Estimation of Synchronous Devices: Review of Available Techniques and Comparative Assessment of Conventional Measurement-Based Approaches

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  • Stelios C. Dimoulias

    (Power Systems Laboratory, School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece)

  • Eleftherios O. Kontis

    (Power Systems Laboratory, School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece)

  • Grigoris K. Papagiannis

    (Power Systems Laboratory, School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece)

Abstract

The increasing deployment of renewable energy sources (RESs) reduces the inertia levels of modern power systems, raising frequency stability issues. Therefore, it becomes crucial, for power-system operators, to monitor system inertia, in order to activate proper preventive remedial actions in a timely way, ensuring, this way, the reliable and secure operation of the power system. This paper presents a brief review of available techniques for inertia estimation of synchronous devices. Additionally, a comparative assessment of conventional measurement-based inertia-estimation techniques is performed. In particular, five conventional inertia-estimation techniques are considered and examined. The distinct features of each method are presented and discussed. The effect of several parameters on the accuracy of the examined methods is evaluated via Monte Carlo analysis. The performance of the examined methods is evaluated using dynamic responses, obtained via RMS simulations, conducted on the IEEE 9 bus test system. Based on the conducted analysis, recommendations to enhance the accuracy of the examined techniques are proposed.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7767-:d:948652
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    References listed on IDEAS

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    1. Blakers, Andrew & Lu, Bin & Stocks, Matthew, 2017. "100% renewable electricity in Australia," Energy, Elsevier, vol. 133(C), pages 471-482.
    2. Makolo, Peter & Zamora, Ramon & Lie, Tek-Tjing, 2021. "The role of inertia for grid flexibility under high penetration of variable renewables - A review of challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    3. Diala Nouti & Ferdinanda Ponci & Antonello Monti, 2021. "Heterogeneous Inertia Estimation for Power Systems with High Penetration of Converter-Interfaced Generation," Energies, MDPI, vol. 14(16), pages 1-17, August.
    4. Davide del Giudice & Samuele Grillo, 2019. "Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance," Energies, MDPI, vol. 12(3), pages 1-19, February.
    5. Bialek, J., 2020. "What does the power outage on 9 August 2019 tell us about GB power system," Cambridge Working Papers in Economics 2018, Faculty of Economics, University of Cambridge.
    6. Heylen, Evelyn & Teng, Fei & Strbac, Goran, 2021. "Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    7. Kryonidis, Georgios C. & Kontis, Eleftherios O. & Papadopoulos, Theofilos A. & Pippi, Kalliopi D. & Nousdilis, Angelos I. & Barzegkar-Ntovom, Georgios A. & Boubaris, Alexandros D. & Papanikolaou, Nick, 2021. "Ancillary services in active distribution networks: A review of technological trends from operational and online analysis perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    8. Bialek, Janusz, 2020. "What does the GB power outage on 9 August 2019 tell us about the current state of decarbonised power systems?," Energy Policy, Elsevier, vol. 146(C).
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    Cited by:

    1. 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.
    2. Julian Struwe & Holger Wrede & Hendrik Vennegeerts, 2023. "Validation Aspects for Grid-Forming Converters Based on System Characteristics and Inertia Impact," Energies, MDPI, vol. 16(21), pages 1-25, October.

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