Forced Oscillation Source Localization From Generator Measurements

Malfunctioning equipment, erroneous operating conditions or periodic load variations can cause periodic disturbances that would persist over time, creating an undesirable transfer of energy across the system – an effect referred to as forced oscillations. Wide-area oscillations may damage assets, trigger inadvertent tripping or control actions, and be the cause of equipment failure. Unfortunately, for wide-area oscillations, the location, frequency, and amplitude of these forced oscillations may be hard to determine. Recently, a data-driven maximum-likelihood-based method was proposed to perform source localization in transmission grids under wide-area response scenarios. However, this method relies on full PMU coverage and all buses having inertia and damping. Here, we extend this method to realistic scenarios which includes buses without inertia or damping, such as passive loads and inverter-based generators. Incorporating Kron reduction directly into the maximum likelihood estimator, we are able to identify the location and frequency of forcing applied at both traditional generators and loads.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2025-09-29
DOI
https://doi.org/10.1109/tpwrs.2025.3615451
Citations
1
Primary Topic
Particle accelerators and beam dynamics
Type
article
Field-Weighted Citation Impact
4.99
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article

Forced Oscillation Source Localization From Generator Measurements

Melvyn Tyloo, Marc Vuffray, Andrey Y. Lokhov
1 citations
IEEE Transactions on Power Systems
Particle accelerators and beam dynamics
4.99
article

Forced Oscillation Source Localization From Generator Measurements

Melvyn Tyloo, Marc Vuffray, Andrey Y. Lokhov
article en
1 citations

Abstract

Malfunctioning equipment, erroneous operating conditions or periodic load variations can cause periodic disturbances that would persist over time, creating an undesirable transfer of energy across the system – an effect referred to as forced oscillations. Wide-area oscillations may damage assets, trigger inadvertent tripping or control actions, and be the cause of equipment failure. Unfortunately, for wide-area oscillations, the location, frequency, and amplitude of these forced oscillations may be hard to determine. Recently, a data-driven maximum-likelihood-based method was proposed to perform source localization in transmission grids under wide-area response scenarios. However, this method relies on full PMU coverage and all buses having inertia and damping. Here, we extend this method to realistic scenarios which includes buses without inertia or damping, such as passive loads and inverter-based generators. Incorporating Kron reduction directly into the maximum likelihood estimator, we are able to identify the location and frequency of forcing applied at both traditional generators and loads.

IEEE Transactions on Power SystemsVol. 41(2)
Los Alamos National Laboratory (US), University of Exeter (GB)
Openalex Percentile: Top 4%
Particle accelerators and beam dynamics
4.99
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