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Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems

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  • Heylen, Evelyn
  • Teng, Fei
  • Strbac, Goran

Abstract

Accurate inertia estimates and forecasts are crucial to support the system operation in future low-inertia power systems. A large literature on inertia estimation methods is available. This paper aims to provide an overview and classification of inertia estimation methods. The classification considers the time horizon the methods are applicable to, i.e., offline post mortem, online real time and forecasting methods, and the scope of the inertia estimation, e.g., system-wide, regional, generation, demand, individual resource. The framework presented in this paper facilitates objective comparisons of the performance of newly developed or improved inertia estimation methods with the state-of-the-art methods in their respective time horizon and with their respective scope. Moreover, shortcomings of the existing inertia estimation methods have been identified and suggestions for future work have been made.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:rensus:v:147:y:2021:i:c:s1364032121004652
    DOI: 10.1016/j.rser.2021.111176
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    1. Daniele Linaro & Federico Bizzarri & Davide Giudice & Cosimo Pisani & Giorgio M. Giannuzzi & Samuele Grillo & Angelo M. Brambilla, 2023. "Continuous estimation of power system inertia using convolutional neural networks," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Xingyong Zhao & Penghui Qin & Zhen Tang, 2022. "Equivalent Inertia Estimation of Asynchronous Motor and Its Effect on Power System Frequency Response," Energies, MDPI, vol. 15(22), pages 1-16, November.
    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.

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