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 language | American English |
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Number of pages | 5 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE Power & Energy Society General Meeting (PESGM) - Orlando, Florida Duration: 16 Jul 2023 → 16 Jul 2023 |
Conference
Conference | 2023 IEEE Power & Energy Society General Meeting (PESGM) |
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City | Orlando, Florida |
Period | 16/07/23 → 16/07/23 |
NREL Publication Number
- NREL/CP-5D00-88173
Keywords
- data-driven
- inertia estimation
- Koopman operator
- PMU measurements
- renewable integration