Methods, systems, and devices for accurate signal timing of power component events

Patent metadata

Field	Value
Publication number	US-10908972-B2
Application number	US-201816182519-A
Country	US
Kind code	B2
Filing date	Nov 6, 2018
Priority date	Nov 7, 2017
Publication date	Feb 2, 2021
Grant date	Feb 2, 2021

Abstract

Disclosed herein are methods, systems, and devices for system event detection associated with power grid components. Methods include detecting, at a plurality of sensors, emissions from a system event associated with at least one winding of a power component. Methods also include determining, using a processor, a plurality of event parameters based, at least in part, on measurements made by the plurality of sensors, the event parameters identifying arrival times of the emissions at each of the plurality of sensors. Methods further include generating, using the processor, an output identifying an estimate of a position of the system event within the power component, the estimate being generated based, at least in part, on the arrival times identified by the plurality of event parameters.

First claim

What is claimed is:

1. A method comprising:
detecting, at a plurality of sensors, emissions from a system event associated with at least one winding of a power component;
determining, using a processor, a plurality of event parameters based, at least in part, on measurements made by the plurality of sensors, the event parameters defining a plurality of temporal windows for the plurality of sensors, each of the plurality of temporal windows being a window of measurement data in which at least some of the emissions arrived at its associated sensor, and the event parameters identifying arrival times of the emissions at each of the plurality of sensors by reducing a measurement noise in each defined temporal window; and
generating, using the processor, an output identifying an estimate of a position of the system event within the power component, the estimate being generated based, at least in part, on the arrival times identified by the plurality of event parameters.

2. The method of claim 1 , wherein the system event is a partial discharge event.

3. The method of claim 1 , wherein the plurality of sensors comprises ultra-high frequency sensors configured to detect high frequency electromagnetic waves.

4. The method of claim 3 , wherein the plurality of sensors comprises four sensors positioned within the power component.

5. The method of claim 1 wherein the reducing of the measurement noise comprises:
smoothing the measurement data included in each of the plurality of temporal windows.

6. The method of claim 5 wherein the measurement noise is reduced based on a Savitzky-Golay filter.

7. The method of claim 1 wherein the estimate identifies three-dimensional coordinates characterizing a position of the system event within the power component.

8. The method of claim 1 further comprising:
detecting, at the plurality of sensors, emissions from an additional system event; and
generating, using the processor, an output identifying an estimate of a position of the additional system event within the power component.

9. The method of claim 8 , wherein the system event and the additional system event are included in a cluster of system events.

10. The method of claim 9 , wherein the cluster of system events identifies a failure of the power component.

11. A system comprising:
a first conductive winding configured to conduct a first current;
a second conductive winding configured to conduct a second current;
a plurality of sensors configured to detect emissions from a system event associated with the first conductive winding or the second conductive winding; and
a processing device configured to:
determine a plurality of event parameters based, at least in part, on measurements made by the plurality of sensors, the event parameters defining a plurality of temporal windows for the plurality of sensors, each of the plurality of temporal windows being a window of measurement data in which at least some of the emissions arrived at its associated sensor, and the event parameters identifying arrival times of the emissions at each of the plurality of sensors by reducing a measurement noise in each defined temporal window; and
generate an output identifying an estimate of a position of the system event within a power component, the estimate being generated based, at least in part, on the arrival times identified by the plurality of event parameters.

12. The system of claim 11 , wherein the system event is a partial discharge event associated with the first conductive winding or the second conductive winding.

13. The system of claim 11 , wherein the plurality of sensors comprises ultra-high frequency sensors configured to detect high frequency electromagnetic waves.

14. The system of claim 11 , wherein the reducing of the measurement noise comprises:
smoothing the measurement data included in each of the plurality of temporal windows.

15. The system of claim 14 , wherein the measurement noise is reduced based on a Savitzky-Golay filter.

16. The system of claim 11 , wherein the sensors are further configured to:
detect emissions from an additional system event, and

wherein the processing device is further configured to:
generate an output identifying an estimate of a position of the additional system event within the power component.

17. A device comprising:
an observation device configured to receive measurement signals from a plurality of sensors included in a power component, the plurality of sensors being configured to detect emissions from a system event associated with the power component;
processing device comprising one or more processors configured to:
determine a plurality of event parameters based, at least in part, on measurements made by the plurality of sensors, the event parameters defining a plurality of temporal windows for the plurality of sensors, each of the plurality of temporal windows being a window of measurement data in which at least some of the emissions arrived at its associated sensor, and the event parameters identifying arrival times of the emissions at each of the plurality of sensors by reducing a measurement noise in each defined temporal window; and

generate an output identifying an estimate of a position of the system event within the power component, the estimate being generated based, at least in part, on the arrival times identified by the plurality of event parameters.

18. The device of claim 17 , wherein the observation device is an oscilloscope.

19. The device of claim 17 , wherein the system event is a partial discharge event associated with a first conductive winding or a second conductive winding of the power component.

20. The device of claim 17 , wherein the reducing of the measurement noise comprises:
smoothing the measurement data included in each of the plurality of temporal windows.

Assignees

• Wu Kesheng
• Sim Alex
• Wang Jonathan
• Hwangbo Seongwook
• Univ California

Inventors

• Wu Kesheng
• Sim Alex
• Wang Jonathan
• Hwangbo Seongwook

Classifications

• G05B23/0267

  Fault communication, e.g. human machine interface [HMI] · CPC title

• Y04S10/52

  Outage or fault management, e.g. fault detection or location · CPC title

• G05B2219/25353

  Inductive coupling of power, transformer · CPC title

• G06F9/542 Primary

  Event management; Broadcasting; Multicasting; Notifications · CPC title

• G05B23/0254

  based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks · CPC title