Event analysis and display

Patent metadata

Field	Value
Publication number	US-2023068739-A1
Application number	US-202217822024-A
Country	US
Kind code	A1
Filing date	Aug 24, 2022
Priority date	Aug 26, 2021
Publication date	Mar 2, 2023
Grant date	—

Abstract

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.

First claim

What is claimed is:

1 . A method comprising:
receiving input data associated with a number of assets of an electric power delivery system; identifying an event associated with a first asset of the number of assets based on a portion of the input data; generating a number of delayed signals based on the input data; generating a number of detection signals based on a difference between the delayed signals and the input data; identifying a subset of the number of detection signals that satisfy a threshold; determining an onset of an event associated with the first asset based on the subset of the number of detection signals; generating a display overlay for a portion of the input data associated with the event; and transmitting the display overlay to a display for presentation via the display with the input data.

2 . The method of claim 1 , wherein the display overlay includes a type of the first asset and the event is a power generation loss for the electric power delivery system.

3 . The method of claim 1 , wherein the threshold is based on a variation of a steady-state frequency of the electric power delivery system.

4 . The method of claim 1 , wherein the delayed signals are generated using an infinite impulse response filter.

5 . The method of claim 4 , wherein the infinite impulse response filter comprises a Butterworth low pass filter.

6 . The method of claim 1 , comprising determining a geographic location of the event within the electric power delivery system based at least in part on the onset of the event.

7 . The method of claim 1 , comprising sorting the subset of the number of detection signals based at least in part on when a frequency of the subset of the number of detection signals decrease.

8 . The method of claim 7 , comprising determining a propagation of the event through the electric power delivery system.

9 . A non-transitory computer-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
receiving an input data stream comprising a voltage phase angle of an electric power delivery system; generating a preprocessing signal based on a derivative of the voltage phase angle; performing an event detection operation on the preprocessing signal to detect a power generation event associated with the electric power delivery system; determining a source of the power generation event; determining a propagation of the power generation event through the electric power delivery system; generating image content comprising information associated with the source and the propagation; and transmitting the image content to an information display.

10 . The non-transitory computer-readable storage medium of claim 9 , wherein the image content comprises an indication of the power generation event.

11 . The non-transitory computer-readable storage medium of claim 9 , the operations comprising determining a geographic location of an industrial asset associated with the power generation event.

12 . The non-transitory computer-readable storage medium of claim 9 , wherein the input data stream comprises a voltage magnitude of the electric power delivery system.

13 . The non-transitory computer-readable storage medium of claim 9 , wherein the input data stream comprises a voltage magnitude for the event detection operation comprises:
generating a number of delayed signals based on the preprocessing signal; generating a number of detection signals based on a difference between the preprocessing signal and the number of delayed signals; and identifying a subset of the number of detection signals that satisfy a threshold.

14 . The non-transitory computer-readable storage medium of claim 13 , wherein the threshold is based on a variation of a steady-state frequency of the electric power delivery system.

15 . The non-transitory computer-readable storage medium of claim 13 , wherein the number of delayed signals are generated using an infinite impulse response filter.

16 . The non-transitory computer-readable storage medium of claim 15 , wherein the infinite impulse response filter comprises a Butterworth low pass filter.

17 . A method comprising:
receiving timestamped input data corresponding to synchrophasor measurements associated with a plurality of assets of an electric power delivery system; generating processed signals based on derivatives of voltage phase angles of the input data; detecting a power generation event based on a first subset of the processed signals; in response to detecting the power generation event:
determining one or more metrics based on the first subset of the processed signals;
using the one or more metrics to determine an onset time of the power generation event;
sorting the first subset of the processed signals by timestamp to determine a second subset of the processed signals that crossed a threshold frequency earliest after the onset time of the power generation event;
sorting at least the second subset of the processed signals by value referenced to a system frequency of the electric power delivery system to determine a lowest value processed signal among the second subset of the processed signals; and
determining a source of the power generation event based on a location corresponding to the lowest value processed signal among at least the second subset of the processed signals.

18 . The method of claim 17 , wherein the metric comprises a sum of relative frequency signals energy or a mean difference energy, or both.

19 . The method of claim 17 , comprising updating a machine learning model based at least in part on the source and propagation of the power generation event.

20 . The method of claim 17 , wherein the threshold frequency is based on a variation of a steady-state frequency of the electric power delivery system.

21 . The method of claim 17 , wherein the power generation event comprises a power generation loss of at least one generator of the electric power delivery system.

Assignees

• Schweitzer Engineering Lab Inc

Inventors

• Khan Md Arif
• Zweigle Gregary C
• Bestebreur Jared Kyle

Classifications

• H02J13/12

  Monitoring network conditions, e.g. electrical magnitudes or operational status · CPC title

• H02J2103/35

  Grid-level management of power transmission or distribution systems, e.g. load flow analysis or active network management · CPC title

• H02J13/10

  characterised by displaying of information or by user interaction, e.g. supervisory control and data acquisition [SCADA] systems · CPC title

• G06F3/14 Primary

  Digital output to display device {; Cooperation and interconnection of the display device with other functional units} · CPC title

• G09G2380/06

  Remotely controlled electronic signs other than labels · CPC title