Power grid frequency prediction using spatiotemporal modeling [electronic resource]
Understanding power system dynamics is essential for interarea oscillation analysis and the detection of grid instabilities. The FNET/GridEye is a GPS-synchronized wide-area frequency measurement network that provides an accurate picture of the normal real-time operational condition of the power sys...
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Full Text (via OSTI) |
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| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. : Oak Ridge, Tenn. :
United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2021.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Power grid frequency prediction using spatiotemporal modeling |h [electronic resource] |
| 260 | |a Washington, D.C. : |b United States. Department of Energy. Office of Science ; |a Oak Ridge, Tenn. : |b Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, |c 2021. | ||
| 300 | |a Size: p. 662-675 : |b digital, PDF file. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 500 | |a Published through Scitech Connect. | ||
| 500 | |a 07/06/2021. | ||
| 500 | |a "Journal ID: ISSN 1932-1864." | ||
| 500 | |a "Other: 160925." | ||
| 500 | |a Lenzi, Amanda ; Bessac, Julie ; Anitescu, Mihai ; | ||
| 520 | 3 | |a Understanding power system dynamics is essential for interarea oscillation analysis and the detection of grid instabilities. The FNET/GridEye is a GPS-synchronized wide-area frequency measurement network that provides an accurate picture of the normal real-time operational condition of the power system-dynamics, giving rise to new and intricate spatiotemporal patterns of power loads. We propose to model FNET/GridEye grid frequency data from the U.S. Eastern Interconnection with a spatiotemporal statistical model. We predict the frequency data at locations without observations, a critical need during disruption events where measurement data are inaccessible. Spatial information is accounted for either as neighboring measurements in the form of covariates or with a spatiotemporal correlation model captured by a latent Gaussian field. Finally, the proposed method is useful in estimating power system dynamic response from limited phasor measurements and holds promise for predicting instability that may lead to undesirable effects such as cascading outages. | |
| 536 | |b AC02-06CH11357. | ||
| 536 | |b AC02-06CH11347. | ||
| 536 | |b CNS-1545046. | ||
| 650 | 7 | |a 24 power transmission and distribution |2 local. | |
| 650 | 7 | |a Hierarchical models |2 local. | |
| 650 | 7 | |a Phasor measurement unit |2 local. | |
| 650 | 7 | |a Power systems |2 local. | |
| 650 | 7 | |a Spatiotemporal correlations |2 local. | |
| 650 | 7 | |a Power transmission and distribution |2 local. | |
| 710 | 2 | |a Argonne National Laboratory. |4 res. | |
| 710 | 1 | |a United States. |b Department of Energy. |b Office of Science. |4 spn. | |
| 710 | 2 | |a National Science Foundation (U.S.). |4 spn. | |
| 710 | 1 | |a United States. |b Department of Energy. |b Office of Scientific and Technical Information |4 dst. | |
| 856 | 4 | 0 | |u https://www.osti.gov/servlets/purl/1863260 |z Full Text (via OSTI) |
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