IP Library Granted Patent US 11,476,665
Granted Patent B2
US 11,476,665 · App. 16/995,826 · Granted Oct 18, 2022

Mitigation of power outages

Inventors: Maxwell Lewin (Boulder, CO); Caleb Scalf (Boulder, CO); Brandon Verkamp (Loveland, CO); Kaushal Malaviya (Boulder, CO)
Assignee: Hygge Power Inc.
H02J3/001G05B19/042H02J13/00002H02J13/00022G05B2219/2639
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Quick Facts
Patent No.
US 11,476,665
App. No.
16/995,826
Granted
Oct 18, 2022
Kind
B2
Abstract

Technology for mitigating impact of a power outage includes a method that determines power regulation data and identifies a power interruption event. The power interruption event is determined to disrupt operation of an electronic device powered by a grid power supply based on the power regulation data. The method mitigates the identified power interruption event by causing an electronic power supply device to transition from receiving power from the grid power supply to receive power from a local power supply where the electronic device is electrically coupled to the electronic power supply device.

Claims (68)

1. A method, comprising:

determining power regulation data including generating a variation signal from a grid power supply sensor in response to detecting a signal variation in a grid power supply;

identifying a power interruption event determined to disrupt operation of an electronic device powered by the grid power supply based on the power regulation data, wherein identifying the power interruption event includes:

determining that the variation signal satisfies a predetermined threshold; and

determining the power interruption event to be an excessive signal variation; and

mitigating the identified power interruption event by causing an electronic power supply device to transition from receiving power from the grid power supply to receiving power from a local power supply, the electronic device being electrically coupled to the electronic power supply device.

2. The method of claim 1 , wherein:

the power regulation data includes historical power generation information; and

the method further comprises:

receiving the historical power generation information;

monitoring a state associated with the electronic power supply device; and

identifying the power interruption event includes predicting the power interruption event based on the historical power generation information and the monitored state associated with the electronic power supply device.

3. The method of claim 1 , wherein identifying the power interruption event includes:

performing a comparison between the power regulation data and one or more event prediction criteria and determining the power interruption event based on the comparison; or

predicting, using machine learning logic, the power interruption event based on one or more features included in the power regulation data.

4. The method of claim 3 , wherein the power regulation data includes one or more of:

household information reflecting a condition of an electrical infrastructure of a household to which the electronic power supply device is electrically coupled;

weather information for a location associated with the grid power supply;

grid infrastructure state information reflecting an infrastructure state of the grid power supply; and

third-party information reflecting one or more of grid power pricing data and vegetation management data.

5. The method of claim 4 , wherein determining the power regulation data includes receiving the power regulation data from a remote server via a network.

6. The method of claim 1 , wherein:

determining the power interruption event includes analyzing a current waveform of the grid power supply.

7. The method of claim 1 , further comprising:

receiving, via a network from a computing device of a user, an electronic power supply device configuration for setting a parameter instructing a controller of the electronic power supply device to transition to the local power supply if a predetermined threshold is satisfied; and

storing, in a memory of the electronic power supply device, the electronic power supply device configuration.

8. The method of claim 7 , wherein the electronic power supply device configuration comprises a user-defined power transition schedule.

9. The method of claim 1 , further comprising:

preemptively charging, prior to an occurrence of the identified power interruption event, the local power supply of the electronic power supply device to a level sufficient to power one or more apparatuses electrically coupled to the electronic power supply device for one of a user-configured period of time or a period of time estimated as needed to restore the grid power supply.

10. The method of claim 9 , wherein causing the electronic power supply device to transition includes causing a relay to switch the electronic power supply device from receiving the power from the grid power supply to receiving the power from the local power supply.

11. A system, comprising:

a memory including executable instructions; and

a processor configured to execute the executable instructions to cause the system to:

determine power regulation data including generating a variation signal from a grid power supply sensor in response to detecting a signal variation in a grid power supply;

identify a power interruption event determined to disrupt operation of an electronic device powered by the grid power supply based on the power regulation data, wherein identifying the power interruption event includes:

determining that the variation signal satisfies a predetermined threshold; and

determining the power interruption event to be an excessive signal variation; and

mitigate the identified power interruption event by causing an electronic power supply device to transition from receiving power from the grid power supply to receiving power from a local power supply, the electronic device being electrically coupled to the electronic power supply device.

12. The system of claim 11 , wherein:

the power regulation data includes historical power generation information; and

the system is further configured to:

receive the historical power generation information;

monitor a state associated with the electronic power supply device; and

identify the power interruption event includes predicting the power interruption event based on the historical power generation information and the monitored state associated with the electronic power supply device.

13. The system of claim 11 , wherein to identify the power interruption event includes the processor configured to:

perform a comparison between the power regulation data and one or more event prediction criteria and determining the power interruption event based on the comparison; or

predict, using machine learning logic, the power interruption event based on one or more features included in the power regulation data.

14. The system of claim 13 , wherein the power regulation data includes one or more of:

household information reflecting a condition of an electrical infrastructure of a household to which the electronic power supply device is electrically coupled;

weather information for a location associated with the grid power supply;

grid infrastructure state information reflecting an infrastructure state of the grid power supply; and

third-party information reflecting one or more of grid power pricing data and vegetation management data.

15. The system of claim 14 , wherein to determine the power regulation data includes to receive the power regulation data from a remote server via a network.

16. The system of claim 11 , wherein the processor is configured to:

determine the power interruption event including analyzing a current waveform of the grid power supply.

17. The system of claim 11 , wherein the processor is further configured to:

receive, via a network from a computing device of a user, an electronic power supply device configuration for setting a parameter instructing a controller of the electronic power supply device to transition to the local power supply if a predetermined threshold is satisfied; and

store, in a memory of the electronic power supply device, the electronic power supply device configuration.

18. The system of claim 17 , wherein the electronic power supply device configuration comprises a user-defined power transition schedule.

19. The system of claim 11 , wherein the processor is further configured to:

preemptively charge, prior to an occurrence of the identified power interruption event, the local power supply of the electronic power supply device to a level sufficient to power one or more apparatuses electrically coupled to the electronic power supply device for one of a user-configured period of time or a period of time estimated as needed to restore the grid power supply.

20. The system of claim 19 , wherein to cause the electronic power supply device to transition includes causing a relay to switch the electronic power supply device from receiving the power from the grid power supply to receiving the power from the local power supply.

21. A system, comprising:

means for determining power regulation data including generating a variation signal from a grid power supply sensor in response to detecting a signal variation in a grid power supply;

means for identifying a power interruption event determined to disrupt operation of an electronic device powered by the grid power supply based on the power regulation data, wherein identifying the power interruption event includes:

determining that the variation signal satisfies a predetermined threshold; and

determining the power interruption event to be an excessive signal variation; and

means for mitigating the identified power interruption event by causing an electronic power supply device to transition from receiving power from the grid power supply to receiving power from a local power supply, the electronic device being electrically coupled to the electronic power supply device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 25, 2020
From: LEWIN, MAXWELL; SCALF, CALEB; VERKAMP, BRANDON; MALAVIYA, KAUSHAL
To: HYGGE POWER, INC.
Reel/Frame 053591/0812 →
Continuity (1)
Related Publication 20220060017A1 · Feb 24, 2022