IP Library Granted Patent US 11,231,999
Granted Patent B2
US 11,231,999 · App. 15/214,922 · Granted Jan 25, 2022

Detection of electric power system anomalies in streaming measurements

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Quick Facts
Patent No.
US 11,231,999
App. No.
15/214,922
Filed
Jul 20, 2016
Granted
Jan 25, 2022
Kind
B2
Art Unit
2857
USPC
702/58
Abstract

The present disclosure pertains to detection of anomalous conditions in a variety of types of systems. In one embodiment, a system may be configured to identify anomalous conditions in a stream of measurements. The system may include a communications interface configured to receive a stream of measurements. An archive subsystem may maintain a data archive comprising a statistical representation of the stream of measurements. A pre-processing subsystem may divide the stream of measurements into a plurality of data windows. The plurality of data windows may be analyzed by an analysis subsystem configured to generate a plurality of normalized representations based on the data archive. The plurality of normalized representations may be grouped into a plurality of ranges. An anomaly detection subsystem may perform a comparison of the plurality of normalized representations to at least one threshold and may determine that the comparison indicates an anomalous condition.

Claims (54)

1. A system configured to identify an anomaly in a stream of measurements, the system comprising:

a communications interface configured to receive a stream of measurements representing electrical conditions within a portion of an electrical power system;

an archive subsystem configured to maintain a data archive comprising a statistical representation of the stream of measurements;

a pre-processing subsystem configured to divide the stream of measurements into a plurality of data windows;

a frequency conversion subsystem configured to transform each of the plurality of data windows to a plurality of frequency domain representations;

an analysis subsystem configured to:

normalize the plurality of frequency domain representations based on the data archive;

group the normalized plurality of frequency domain representations into a plurality of sub-harmonic frequency ranges; and

an anomaly detection subsystem configured to:

perform a comparison of the normalized plurality of frequency domain representations to at least one threshold and to determine that the comparison indicates an anomalous condition;

an action subsystem configured to provide a report to a display of an electronic device based on the anomalous condition to alert an operator to detection of the anomalous condition.

2. The system of claim 1 , wherein the action subsystem is configured to modify the electric power system.

3. The system of claim 1 , wherein the report comprises an indication of the anomalous condition.

4. The system of claim 1 , wherein the archive subsystem is further configured to add the normalized plurality of frequency domain representations to the data archive.

5. The system of claim 1 , wherein the normalized plurality of frequency domain representation comprises a z-ratio of one of the plurality of data windows to a distribution represented in the data archive.

6. The system of claim 1 , wherein the stream of measurements comprises a stream of synchrophaser data.

7. The system of claim 1 , further comprising an event consolidation subsystem configured to:

detect a plurality of anomalous data windows from among the plurality of data windows; and

associate each of the plurality of anomalous data windows with the anomalous condition.

8. The system of claim 6 , wherein the event consolidation subsystem is further configured to associate the plurality of anomalous data windows based on one of a temporal proximity, a physical proximity, and a severity of the plurality of anomalous data windows.

9. The system of claim 1 , wherein the anomaly detection subsystem comprises a finite impulse response filter configured to generate an average of the normalized frequency domain representations and to perform the comparison based on the average.

10. A method for identifying an anomaly in a stream of measurements, the method comprising:

receiving a stream of measurements representing electrical conditions within a portion of an electrical power system;

generating a data archive comprising a statistical representation of the stream of measurements;

dividing the stream of measurements into a plurality of data windows;

transforming each of the plurality of data windows to a plurality of frequency domain representations;

generating a normalized plurality of frequency domain representations based on the data archive;

grouping the normalized plurality of frequency domain representations into a plurality of sub-harmonic frequency ranges;

performing a comparison of the normalized plurality of frequency domain representations to at least one threshold;

determining that the comparison indicates an anomalous condition;

providing a report to a display of an electronic device based on the anomalous condition to alert an operator to detection of the anomalous condition.

11. The method of claim 10 , further comprising modifying the electrical power system.

12. The method of claim 10 , wherein the report comprises an indication of the anomalous condition.

13. The method of claim 10 , further comprising:

adding the plurality of normalized frequency domain representations to the data archive.

14. The method of claim 10 , wherein the normalized frequency domain representation comprises a z-ratio of one of the plurality of data windows to a distribution represented in the data archive.

15. The method of claim 10 , further comprising:

detecting a plurality of anomalous data windows from among the plurality of data windows; and

associating each of the plurality of anomalous data windows with the anomalous condition.

16. The method of claim 15 , wherein the plurality of anomalous data windows are associated based on one of a temporal proximity, a physical proximity, and a severity of the plurality of anomalous data windows.

17. The method of claim 10 , wherein the plurality of frequency ranges is selected to correspond to an issue in the electric power system.

18. The method of claim 10 , further comprising generating an average of the normalized frequency domain representations using a finite impulse response filter; and

wherein the comparison is based on the average.

19. A system configured to identify an anomaly in a stream of measurements, the system comprising:

a communications interface configured to receive a stream of measurements;

an archive subsystem configured to maintain a data archive comprising a statistical representation of the stream of measurements;

a pre-processing subsystem configured to divide the stream of measurements into a plurality of data windows;

an analysis subsystem configured to:

generate a normalized plurality of representations based on the plurality of data windows and the data archive;

group the normalized plurality of representations into a plurality of sub-harmonic ranges; and

an anomaly detection subsystem configured to:

perform a comparison of the plurality of normalized representations to at least one threshold and to determine that the comparison indicates an anomalous condition;

an action subsystem configured to provide a report to a display of an electronic device based on the anomalous condition to alert an operator to detection of the anomalous condition.

20. A system of claim 19 , wherein the stream of measurements represents one of a voltage, a current, a power factor, a temperature, and a vibration.

Assignments (1)
NOTICE OF GRANT OF SECURITY INTEREST IN PATENTS Recorded Jun 4, 2018
From: SCHWEITZER ENGINEERING LABORATORIES, INC.
To: CITIBANK, N.A., AS ADMINISTRATIVE AGENT
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