Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

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

1.School of Electrical Engineering, Northeast Electrical Power University, Jilin 132012, China;2.School of Electrical and Information Engineering, The University of Sydney, Sydney, Australia;3.Department of Energy Technology, Aalborg University, Aalborg, Denmark

Fund Project:

This work was supported in part by the National Science Foundation of China (No. 51877032), and in part by the State Grid Corporation of China (No. 2018GWJLDKY06).

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    Abstract:

    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.

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History
  • Received:February 25,2020
  • Revised:June 02,2020
  • Adopted:
  • Online: January 28,2022
  • Published: