SYSTEMS AND METHODS FOR MONITORING POWER CONSUMPTION

• US 20170205451A1
• Filed: 01/13/2017
• Published: 07/20/2017
• Est. Priority Date: 01/14/2016
• Status: Active Grant

• Current Assignee: Syed Imran Mahmood Moinuddin
• Original Assignee: Syed Imran Mahmood Moinuddin
• Inventors: Moinuddin, Syed Imran Mahmood
• Granted Patent: US 10,241,140 B2
• Time in Patent Office: Days
• CPC Class Codes: G01D 2204/24 Identification of individual loads, e.g. by analysing current/voltage waveforms
• CPC Class Codes: G01D 4/00 Tariff metering apparatus in taximeters G07B13/00; apparatus actuated by coins, cards or the like with meter-controlled dispensing of liquid, gas, or electricity G07F15/00
• CPC Class Codes: G01R 21/133 by using digital technique
• CPC Class Codes: G01R 31/52 Testing for short-circuits, leakage current or ground faults
• 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

The present disclosure provides systems and methods for monitoring power consumption of individual devices on an electric power system. A monitoring system may identify unique power characteristics of each device. The monitoring system may use the identified unique power characteristics to disaggregate electric data representative of the power consumption of all of the devices on the electric power system into portions associated with each device.

Claims

1. An electrical monitoring device comprising:

an input to receive aggregated measured electric power values representing electric power consumption of a plurality of devices;

a memory to store a plurality of profiles, each profile being associated with a device and comprising at least one electrical signature;

a signal analyzer in electrical communication with the memory to determine the likelihood of a profile corresponding to a portion of the aggregated measured electric power values based on a comparison between the received aggregated measured electric power values and the profile; and

a disaggregator to separate the aggregated measured electric power values received by the input into portions and associate each portion with a device based on the signal analyzer'"'"'s determination.

2. The electrical monitoring device of claim 1, further comprising an electric power meter in electrical communication with the input that measures power on a three-phase system.

3. The electrical monitoring system of claim 1, further comprising a transceiver in communication with a remote computing device.

4. The electrical monitoring system of claim 3, wherein the transceiver may send an output to and receive an input from a device networked to the computing device.

5. The electrical monitoring system of claim 3, wherein at least a portion of separating the aggregated measured electric power values is done on the remote computing device.

6. The electrical monitoring system of claim 1, further comprising an anomaly detector to compare historical baseline electric power consumption values for a device with the portion of the aggregated measured electric power values associated with the device by the disaggregator.

7. The electrical monitoring system of claim 6, wherein the anomaly detector issues a service request for the device when the historical baseline electric power consumption values are different from the portion of the aggregated measured electric power values associated with the device.

8. The electrical monitoring system of claim 6, wherein the anomaly detector outputs a signal that trips a circuit breaker when the historical baseline electric power consumption values are different from the portion of the aggregated measured electric power values associated with the device.

9. A method for monitoring the power consumption of a distinct electrical component on a power distribution system, the method comprising:

identifying a plurality of unique power characteristics associated with each of a plurality of electrical components;

collecting electrical data at a point in an electrical system that provides power to each of the plurality of electrical components;

analyzing the collected electrical data to identify a portion of the electrical data with features that correspond to one of the identified unique power characteristics associated with an electrical component; and

monitoring electric power consumption of the electrical component corresponding to the identified portion of the electrical data.

10. The method of claim 9, further comprising generating a confidence index identifying the likelihood of a portion of the electrical data corresponding to a distinct electrical component, wherein the confidence index is based on the similarities found between a profile of the distinct electrical component and the results from one or more analysis methods of the collected electrical data.

11. The method of claim 10, wherein the at least two analysis methods are selected from a group consisting of a Fast Fourier transformation, Computer Vision Analysis, deep learning methods, and Speech Recognition Analysis.

12. The method of claim 9, further comprising generating the profile for each electrical component based on the plurality of unique power characteristics.

13. The method of claim 12, wherein the profiles are generated by:

conducting a calibration sequence comprising initiating, operating, and terminating operation of an electrical component; and

recording power characteristics of the electrical component present while initiating, operating, and terminating operation of the electrical component.

14. The method of claim 9, wherein analyzing the collected electrical data comprises identifying similarities on different phases of the electrical data.

15. The method of claim 9, wherein analyzing the collected electrical data comprises identifying portions in an order based on amplitude.

16. An electrical monitoring system comprising:

A plurality of electrical monitoring devices collecting electrical data from different sections of an electric power distribution system, each electrical monitoring device comprising;

an input to receive aggregated measured electric power values representing electric power consumption of a plurality of devices;

a profile manager to create and store a plurality of profiles, each profile being associated with a device and comprising power consumption characteristics of the device;

a signal analyzer in electrical communication with the profile manager to determine the likelihood of a profile corresponding to a portion of the aggregated measured electric power values based on a comparison between the received aggregated measured electric power values and the profile; and

a disaggregator to separate the aggregated measured electric power values received by the input into portions and associate each portion with a device based on the signal analyzer'"'"'s determination,

wherein each of the plurality of electrical monitoring devices is in communication with each other and distribute profiles created by each profile manager to each of the electrical monitoring devices.

17. The electrical monitoring system of claim 16, wherein each profile comprises time-based current, voltage, and frequency characteristics of the device.

18. The electrical monitoring system of claim 16, wherein each profile comprises event-based current, voltage, and frequency characteristics of the device.

19. The electrical monitoring system of claim 16, wherein each profile comprises multi-phase characteristics of the device.

20. The electrical monitoring system of claim 16, wherein the profile manager is preprogrammed with a plurality of baseline profiles based on device specifications.