Discharge event monitoring device

Patent metadata

Field	Value
Publication number	US-11143687-B2
Application number	US-201916248324-A
Country	US
Kind code	B2
Filing date	Jan 15, 2019
Priority date	Jan 15, 2019
Publication date	Oct 12, 2021
Grant date	Oct 12, 2021

Abstract

The present disclosure relates to systems and methods of detecting discharge events on power lines. For example, a system may include an acoustic sensor that detects a sound wave emitted from a power line. The system may include a radio frequency (RF) sensor that detects a radio wave emitted from the power line. The system may include electrical sensor circuitry that detects an electrical parameter of power being delivered on the power line. The system may include a processor that determines that a discharge event has occurred based on the sound wave, the radio wave, and the electrical characteristic. The system may provide an output signal indicating that the partial discharge event has occurred.

First claim

What is claimed is:

1. An electronic device, comprising:
an acoustic sensor configured to detect a sound wave emitted from a power line;
a radio frequency (RF) sensor configured to detect a radio wave emitted from the power line;
a memory;
a processor operatively coupled to the memory, wherein the processor is configured to execute instructions stored on the memory to cause the processor to:
receive an electrical signal indicative of an electrical characteristic of a power line;
receive a sound signal indicative of a sound wave detected by an acoustic sensor of the electronic device;
receive an RF signal indicative of the radio wave detected by the RF sensor of the electronic device;
determine that a discharge event has occurred based at least in part on the sound wave, the radio wave, and the electrical characteristic; and
provide an output signal indicating that the discharge event has occurred.

2. The electronic device of claim 1 , wherein the processor is configured to provide the output signal indicating that the discharge event has occurred when a fault is detected on the power line.

3. The electronic device of claim 2 , wherein the processor is configured to detect the fault based on the electrical characteristic of the power being delivered on the power line.

4. The electronic device of claim 1 , comprising electrical sensor circuitry having a current transformer configured to be operatively coupled to the power line to detect current on the power line as the electrical characteristic.

5. The electronic device of claim 1 , wherein the processor is configured to receive the electrical signal from another electronic device via communication circuitry.

6. The electronic device of claim 1 , comprising receiving a pattern recognition update to adjust the determination of whether the discharge event has occurred based on other successful determinations.

7. The electronic device of claim 1 , wherein the processor is configured to provide the output signal, via a transceiver, to a central monitoring station to be displayed on a display at the central monitoring station.

8. The electronic device of claim 1 , wherein the processor is configured to execute instructions stored on the memory to cause the processor to:
compare the sound signal to a sound wave pattern to determine a likelihood that the sound signal indicates that the discharge event occurred;
compare the RF signal to a radio wave pattern to determine a likelihood that the RF signal indicates that the discharge event occurred;
compare the electrical signal to a traveling wave pattern to determine a likelihood that the electrical signal indicates that the discharge event occurred;
weigh the likelihood that the sound signal indicates that the discharge event occurred with a sound weight to determine a weighted sound likelihood, weigh the likelihood that the RF signal indicates that the discharge event occurred with an RF weight to determine a weighted radio wave likelihood, and weigh the likelihood that the electrical signal indicates that the discharge event occurred with an electrical signal weight to determine a weighted electrical signal likelihood;
sum the weighted sound likelihood, the weighted radio wave likelihood, and the weighted electrical signal likelihood, to determine an overall likelihood that the discharge event has occurred;
compare the overall likelihood that the discharge event has occurred to a threshold; and
determine that the discharge event has occurred when the threshold is exceeded by the overall likelihood of the discharge event.

9. The electronic device of claim 1 , comprising input circuitry configured to:
provide the sound signal to the processor as a digital representation of the sound wave; and
provide the RF signal to the processor as a digital representation of the radio wave.

10. The electronic device of claim 1 , wherein the processor is configured to transmit the output signal, via a transceiver of the electronic device, to a relay to cause the relay to open a circuit breaker to disconnect the power line to prevent further discharge events from occurring.

11. A non-transitory computer readable medium comprising instructions for detecting a discharge event, that when executed by a processor, cause the processor to perform operations comprising:
receiving an electrical signal indicative of an electrical characteristic of power being delivered on a power line;
comparing the electrical signal to a traveling wave pattern to determine a likelihood that the electrical signal indicates that the discharge event has occurred;
and
providing an output signal indicating that the discharge event has occurred based upon the likelihood.

12. The non-transitory, computer readable medium of claim 11 , wherein the traveling wave pattern comprises transient characteristics in the electrical signal different than normal electrical characteristics of power being delivered on the power line during normal operation.

13. The non-transitory, computer readable medium of claim 12 , wherein the transient characteristics comprise a current on the power line at a different frequency or magnitude than the frequency or magnitude of power being delivered on the power line during normal operation.

14. A non-transitory, computer readable medium comprising instructions for detecting a discharge event, that when executed by the processor, cause the processor to perform operations comprising:
training pattern recognition of a discharge event, using machine learning, based on historical events;
receiving an electrical signal indicative of an electrical characteristic of power being delivered on a power line;
determining that the discharge event has occurred based at least in part on the electrical signal; and
providing an output signal indicating that the discharge event has occurred.

15. A method, comprising:
receiving a sound signal indicative of a sound wave caused by a power line;
receiving a radio frequency (RF) signal indicative of a radio wave caused by the power line;
receiving an electrical signal indicative of an electrical characteristic of power being delivered on the power line;
comparing the sound signal to a sound wave pattern to determine a likelihood that the sound signal indicates that a discharge event occurred on the power line;
comparing the RF signal to a radio wave pattern to determine a likelihood that the RF signal indicates that the discharge event occurred;
comparing the electrical signal to a traveling wave pattern to determine a likelihood that the electrical signal indicates that the discharge event occurred;
weighting the likelihood that the sound signal indicates that the discharge event occurred with a sound weight, weighting the likelihood that the RF signal indicates that the discharge event occurred with an RF weight, and weighting the likelihood that the electrical signal indicates that the discharge event occurred with an electrical signal weight;
summing the sound factor, the radio factor, and the traveling wave factor to determine an overall likelihood that the discharge event has occurred;
comparing the overall likelihood that the discharge event has occurred to a threshold; and
determining that the discharge event has occurred when the threshold is exceeded by the overall likelihood of the discharge event; and
providing an output signal indicating that the discharge event has occurred.

16. The method of claim 15 , wherein the sound weight, the RF weight, and the electrical signal weight are based on an amount of confidence that the sound signal, the RF sig

Assignees

• Schweitzer Engineering Lab Inc

Inventors

• Manson Scott M
• Achanta Shankar V
• Zweigle Gregary C

Classifications

• H02J13/12

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

• G01R31/1272 Primary

  of cable, line or wire insulation, e.g. using partial discharge measurements (locating faults in cables G01R31/083) · CPC title

• G01R31/1209 Primary

  using acoustic measurements (acoustic measurements G01H3/00) · CPC title

• H02H7/26

  Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured (locating faults in cables G01R31/08) · CPC title

• Y02E60/00

  Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation · CPC title