Selection of bellwether smart grid meters

• US 9,127,963 B2
• Filed: 09/13/2011
• Issued: 09/08/2015
• Est. Priority Date: 09/13/2011
• Status: Active Grant

• Current Assignee: Aclara Meters LLC (Hubbell, Inc.)
• Original Assignee: General Electric Company
• Inventors: Sfaelos, Jimmy
• Primary Examiner(s): COSIMANO, EDWARD R
• Application Number:
  US13/231,825
• Publication Number:
  US 20130066570A1
• Time in Patent Office: 1,456 Days
• Field of Search: 73/10.1, 734/321, 738/658, 738/659, 738/663, 324/74, 324/500, 340/500, 340/540, 340/635, 340/637, 340/653, 340/679, 340/870.01, 340/870.02, 340/870.07, 340/870.16, 702/1, 702/57, 702/60, 702/61, 702/62, 702/127, 702/182, 702/187, 702/189, 705/1.1, 705/7.11, 705/7.38, 708/100, 708/105, 708/200
• US Class Current: 1/1
• CPC Class Codes: G01D 1/16 giving a value which is a function of two or more values, e.g. product or ratio
• CPC Class Codes: G01D 4/002 Remote reading of utility meters
• CPC Class Codes: G06F 17/40 Data acquisition and logging for input to computer G06F3/00
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

A method for selection of bellwether smart meters from a plurality of smart meters in a power grid can include for at least each of a subset of the plurality of smart meters, monitoring a meter; determining at least one anomaly in the meter, in response to a determination of an anomaly in the meter, assigning a weight to the anomaly, determining a sum of weights of anomalies in the meter and selecting a sub group of the plurality of smart meters as bellwether meters.

Claims

1. A method for operating power grid, the method comprising:

for each of the plurality of smart meters, using a network monitoring system to;

monitor a smart meter;

determine at least one anomaly in the smart meter;

in response to a determination of an anomaly in the smart meter, assign a weight to the anomaly;

determine a sum of weights of anomalies in the smart meter;

using the network monitoring system to select a sub group of the plurality of smart meters as bellwether smart meters from smart meters having the sum of weights within a selected range, and

assign a high priority communication to the bellwether smart meters;

using a distribution response management system to use the high priority communication to obtain reading from the bellwether smart meters indicative of a health of an area of a power grid represented by the bellwether meters and operate a device of the power grid based on the health in the area of the power grid to increase a reliability of the power grid.

2. The method as claimed in claim 1 further comprising storing the sum of weights for each of the sub group of the plurality of smart meters.

3. The method as claimed in claim 1 further comprising ranking the sub group of the plurality of meters to determine which of the sub group of the plurality of smart meters are the bellwether meters.

4. The method as claimed in claim 1 wherein the weights are determined for at least one of the power grid'"'"'s past performance, current performance, and seasonal load profiles.

5. The method as claimed in claim 1 wherein the anomalies include at least one of a service outage, half waving, power swell and power sag.

6. The method as claimed in claim 1 further comprising receiving messages from each of the plurality of smart meters.

7. The method as claimed in claim 6 wherein the messages include at least one of a last gasp message and a data related to the anomalies in each of the plurality of smart meters.

8. The method as claimed in claim 1 further comprising generating a historical record of how the plurality of smart meters have changed.

9. The method as claimed in claim 1 further comprising sending messages to the plurality of smart meters.

10. The method as claimed in claim 9 wherein the messages include at least one of checking health of each of the plurality of meters and taking measurements.

11. A computer program product for operating a power grid, the computer program product including a tangible computer readable storage medium storing instructions executable by a computer to cause the computer to implement a method, the method comprising:

for each of the plurality of smart meters, using a network monitoring system to;

monitor a smart meter;

determine at least one anomaly in the smart meter;

in response to a determination of an anomaly in the smart meter, assign a weight to the anomaly;

determine a sum of weights of anomalies in the smart meter;

using the network monitoring system to select a sub group of the plurality of smart meters as bellwether meters from smart meters having the sum of weights within a selected range, and

assign a high priority communication to the bellwether smart meters; and

using a distribution response management system to use the high priority communication to obtain reading from the bellwether smart meters indicative of a health of an area of a power grid represented by the bellwether smart meters, and operate a device of the power grid based on the health in the area of the power grid to increase a reliability of the power grid.

12. The computer program product as claimed in claim 11 wherein the method further comprises sending messages to the plurality of smart meters.

13. The computer program product as claimed in claim 12 wherein the messages include at least one of checking health of each of the plurality of meters and taking measurements.

14. The computer program product as claimed in claim 11 wherein the method further comprises receiving messages from each of the plurality of smart meters.

15. The computer program product as claimed in claim 14 wherein the messages include at least one of a last gasp message and a data related to the anomalies in each of the plurality of smart meters.

16. A power grid system, the system comprising:

a network management system (NMS) configured to;

for each of the plurality of smart meters;

monitor a smart meter;

determine at least one anomaly in the smart meter;

in response to a determination of an anomaly in the smart meter, assign a weight to the anomaly;

determine a sum of weights of anomalies in the smart meter;

select a sub group of the plurality of smart meters as bellwether meters from smart meters having the sum of weights within a selected range; and

assigning a high priority communication to the bellwether smart meters; and

a distribution response management system configured to use the high priority communication to obtain reading from the bellwether smart meters indicative of a health of an area of a power grid represented by the bellwether smart meters and operate a device of the power grid based on the health in the area of the power grid to increase a reliability of the power grid.

17. The system as claimed in claim 16 wherein the NMS is further configured to send messages to the plurality of smart meters.

18. The system as claimed in claim 17 wherein the messages include at least one of checking health of each of the plurality of meters and taking measurements.

19. The system as claimed in claim 16 wherein the NMS is further configured to receive messages from each of the plurality of smart meters.

20. The system as claimed in claim 19 wherein the messages include at least one of a last gasp message and a data related to the anomalies in each of the plurality of smart meters.