Journal of Modern Power Systems and Clean Energy (Jan 2022)

Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data

  • Bo Wang,
  • Deyou Yang,
  • Guowei Cai,
  • Jin Ma,
  • Zhe Chen,
  • Lixin Wang

DOI
https://doi.org/10.35833/MPCE.2020.000105
Journal volume & issue
Vol. 10, no. 1
pp. 241 – 244

Abstract

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An ambient modal framework for inertia estimation using synchrophasor data is proposed in this letter. Specifically, an analytical formulation is developed for the estimation of inertia based on the frequency and damping ratio modes extracted from ambient data. An advantage of the proposed framework is that it can rely on synchronized ambient data under non-disturbed conditions for online estimation and tracking of inertia. Ultimately, numerical simulation studies and physical experiments demonstrate the feasibility of the proposed approach.

Keywords