Generating a representation of high-frequency electric power delivery system data using deviations from a trend
US-11152916-B2 · Oct 19, 2021 · US
US2023060977A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023060977-A1 |
| Application number | US-202217822023-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 24, 2022 |
| Priority date | Aug 26, 2021 |
| Publication date | Mar 2, 2023 |
| Grant date | — |
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Techniques and apparatus presented herein are directed toward monitoring an electric power delivery system to detect and locate a power generation event. A power generation event may include a tripped generator, a loss of a transmission line, or other loss of power generation. To detect the event, an analysis engine may receive and monitor input data. A detection signal may be generated based on the input data. Upon detecting the event, the analysis engine may determine a source and propagation of the event through the delivery system. Based on the source and propagation of the event, the analysis engine may determine the location of the event. The analysis engine may generate an overlay with the input data to provide the location and other information about the event to a user such that remedial action can be taken to resolve the event and restore the lost power generation.
Opening claim text (preview).
What is claimed is: 1 . A system comprising: a display configured to provide a visualization of input data associated with an electric power delivery system; and processing circuitry configured to be coupled to the display, the processing circuitry configured to: monitor the input data; process the input data to detect an event associated with the electric power delivery system; identify an onset of the event; determine a propagation of the event through the electric power delivery system; and generate an overlay to be output on the display with the input data that indicates a portion of the input data that is associated with the event. 2 . The system of claim 1 , wherein processing circuitry comprises a plurality of analysis engines, wherein each analysis engine of the plurality of analysis engines is associated with a different algorithm, and wherein each algorithm is configured to detect a different type of event associated with the electric power delivery system. 3 . The system of claim 1 , wherein the overlay comprises information related to a corresponding type of event. 4 . The system of claim 1 , wherein the processing circuitry is configured to detect the event by generating a detection signal based on a difference between the input data and a delayed signal based on the input data. 5 . The system of claim 1 , wherein the processing circuitry is configured to determine a geographic location of the event based at least in part on the input data. 6 . The system of claim 5 , wherein the processing circuitry is configured to: analyze a signal based on a derivative of the input data relative to system frequency of the electric power delivery system to determine a sum of relative frequency signals energy; and determine the geographic location of the event based at least in part on the sum of relative frequency signals energy. 7 . The system of claim 1 , wherein the electric power delivery system comprises a plurality of industrial assets. 8 . The system of claim 7 , wherein the event is associated with a first industrial asset of the plurality of industrial assets of the electric power delivery system. 9 . The system of claim 8 , wherein the processing circuitry is configured to determine a geographic location of the first industrial asset associated with the event. 10 . The system of claim 8 , wherein the overlay comprises information related to the first industrial asset and the event. 11 . A system comprising: a display; and an analysis engine configured to: receive an input data stream collected over time associated with an electric power delivery system; identify an event associated with an asset of the electric power delivery system based on a portion of the input data stream; generate an overlay for the portion of the input data stream associated with the event; and transmit the overlay to the display to be presented via the display, wherein the overlay remains associated with the portion of the input data stream on the display when additional input data is received. 12 . The system of claim 11 , wherein the overlay provides an indication of the event and comprises information about the asset of the electric power delivery system. 13 . The system of claim 12 , wherein the information about the asset of the electric power delivery system comprises a geographic location of the asset based at least in part on the input data stream. 14 . The system of claim 11 , wherein the input data stream comprises a number of input signals and the analysis engine is configured to: generate a plurality of delayed signals based on the number of input signals; generate a plurality of detection signals based on a difference between the delayed signals and the input signals; and identify a subset of the plurality of detection signals that satisfy a threshold; wherein the event is identified using the plurality of detection signals that satisfy the threshold. 15 . The system of claim 14 , wherein the threshold is based on a variation of a steady-state frequency of the electric power delivery system. 16 . The system of claim 14 , wherein the number of delayed signals are generated using an infinite impulse response filter. 17 . The system of claim 16 , wherein the infinite impulse response filter comprises a Butterworth low pass filter. 18 . A system, comprising: a display; a storage comprising historical data associated with a number of assets of an electric power delivery system; and a plurality of analysis engines configured to: retrieve the historical data; generate a plurality of delayed signals based on the historical data; generate a plurality of detection signals based on a difference between the delayed signals and the historical data; identify a subset of the plurality of detection signals that satisfy a threshold; and determine a geographic location of an event within the electric power delivery system based at least in part on the subset of the plurality of detection signals. 19 . The system of claim 18 , wherein the plurality of analysis engines are configured to update a machine learning model based at least in part on the geographic location of the event. 20 . The system of claim 18 , wherein the threshold is based at least in part on a variation of a steady-state frequency of the electric power delivery system. 21 . The system of claim 18 , wherein the assets of the electric power delivery system comprise generators and the event comprises a power generation loss of at least one generator.
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