Online Output-Based Inertia Estimation of Modern Power Systems

Mohamed Elnasry, Amarsagar Matavalam, Pranav Sharma, Venkataramana Ajjarapu

Research output: Contribution to conferencePaper

Abstract

The overall inertia of modern power systems is drastically impacted by the penetration level of converter-based resources (CBRs). The intermittent output of CBRs and their dependence on the weather conditions affirm the need for a realtime inertia estimation approach. This can help the transmission system operators(TSOs) to be continuously aware of the changes in the system inertia and to take suitable control actions. This paper is a step forward to a totally data-driven framework for power system inertia estimation using the available measurements from the phasor measurement units (PMUs). This inertia estimation is done based on the spectral analysis of the so-called Koopman linear operator. Koopman operator considers the relationship between the system's inertia and its dynamical response to slight disturbances in the load. Simulation results show that Koopman operator can approximate the system behavior in a reconstructed linear space hence inertia constant is estimated accurately.
Original languageAmerican English
Number of pages5
DOIs
StatePublished - 2023
Event2023 IEEE Power & Energy Society General Meeting (PESGM) - Orlando, Florida
Duration: 16 Jul 202316 Jul 2023

Conference

Conference2023 IEEE Power & Energy Society General Meeting (PESGM)
CityOrlando, Florida
Period16/07/2316/07/23

NREL Publication Number

  • NREL/CP-5D00-88173

Keywords

  • data-driven
  • inertia estimation
  • Koopman operator
  • PMU measurements
  • renewable integration

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