Controlling a Load and an Energy Source Based on Future Energy Level Determinations

• US 20170040798A1
• Filed: 03/07/2016
• Published: 02/09/2017
• Est. Priority Date: 08/07/2015
• Status: Active Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Mazuelas, Santiago, Tinnakornsrisuphap, Peerapol, Chen, Shengbo
• Application Number:
  US15/062,451
• Publication Number:
  US 20170040798A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/242 Home appliances
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

Described in this disclosure are embodiments for controlling a load and an energy source associated with an entity. A system may determine a first energy level, along with variability for the first energy level, associated with the entity for a first period (e.g., prior to a present time). The system may further determine a contextual data, along with variability for the contextual data, associated with the entity for a second period (e.g., after the present time). The first and second energy levels may be received from one or more control devices in communication with the system. The system may determine a second energy level associated with the entity for the second period. The second energy level may be based at least partly on the first energy level and the contextual data. The system may control, based at least partly on the second energy level, the load and the energy source.

Claims

1. A method for controlling a load and an energy source associated with an entity, the method comprising:

establishing a first connection to a first control device for monitoring a first energy consumption level for the load;

establishing a second connection to a second control device for monitoring a first energy generation level for the energy source;

receiving the first energy consumption level for the load from the first control device;

receiving the first energy generation level for the energy source from the second control device;

determining, for a first period, based at least partly on the first energy consumption level for the load and the first energy generation level for the energy source, a first energy level associated with the entity;

determining, for a second period, a contextual data associated with the entity;

determining, for the second period, based at least partly on the first energy level and the contextual data, a second energy level associated with the entity; and

at least one of;

controlling the load based at least partly on the second energy level; and

controlling the energy source based at least partly on the second energy level.

2. The method of claim 1, wherein controlling the load comprises activating or deactivating the load for a first predetermined period, and wherein controlling the energy source comprises activating or deactivating the energy source for a second predetermined period.

3. The method of claim 1, wherein the first period occurred prior to a present time, and wherein the second period will occur after the present time.

4. The method of claim 1, wherein determining the first energy level comprises determining a variability in the first energy level.

5. The method of claim 1, wherein determining the contextual data comprises determining a variability in the contextual data.

6. The method of claim 1, wherein the second energy level comprises a second energy consumption level for the load and a second energy generation level for the energy source, wherein the load is controlled based at least partly on the second energy consumption level, and wherein the energy source is controlled based at least partly on the second energy generation level.

7. The method of claim 1, further comprising communicating with the load, the energy source, and an energy storage.

8. The method of claim 1, wherein the determination of the contextual data is based at least partly on monitoring entity data associated with the entity during the first period.

9. The method of claim 8, wherein the entity data comprises at least one member from the group consisting of a weather forecast for an area associated with the entity, a number of occupants in the entity, energy-related activities of the occupants in the entity, a type, cost, and usage of loads associated with the entity, a type, cost, and usage of energy sources associated with the entity, and a type, cost, and usage of energy storages associated with the entity.

10. The method of claim 1, further comprising:

predicting a second energy consumption level for the load; and

predicting a second energy generation level for the energy source.

11. The method of claim 10, further comprising:

generating, based at least partly on the second energy consumption level for the load and the second energy generation level for the energy source, a first schedule and a second schedule for operating the load and charging or discharging an energy storage.

12. The method of claim 11, further comprising:

determining a first energy cost for the first schedule and a second energy cost for the second schedule;

determining the first energy cost is lower than the second energy cost; and

selecting the first schedule.

13. An apparatus for controlling a load and an energy source associated with an entity, the apparatus comprising:

a communication unit configured to;

receive a first energy consumption level for the load from a first control device for monitoring a first energy consumption level for the load, and

receive a first energy generation level for the energy source from a second control device for monitoring a first energy generation level for the energy source;

a memory; and

a processor, coupled to the memory, and configured to;

determine, for a first period, based at least partly on the first energy consumption level for the load and the first energy generation level for the energy source, a first energy level associated with the entity;

determine, for a second period, a contextual data associated with the entity;

determine, for the second period, based at least partly on the first energy level and the contextual data, a second energy level associated with the entity; and

at least one of;

control the load based at least partly on the second energy level; and

control the energy source based at least partly on the second energy level.

14. The apparatus of claim 13, wherein the first period occurred prior to a present time, and wherein the second period will occur after the present time.

15. The apparatus of claim 13, wherein determining the first energy level comprises determining a variability in the first energy level.

16. The apparatus of claim 13, wherein determining the contextual data comprises determining a variability in the contextual data.

17. The apparatus of claim 13, wherein the second energy level comprises a second energy consumption level for the load and a second energy generation level for the energy source, wherein the load is controlled based at least partly on the second energy consumption level, and wherein the energy source is controlled based at least partly on the second energy generation level.

18. The apparatus of claim 13, wherein the processor is further configured to communicate with the load, the energy source, and an energy storage.

19. The apparatus of claim 13, wherein the determination of the contextual data is based at least partly on monitoring entity data associated with the entity during the first period.

20. The apparatus of claim 19, wherein the entity data comprises at least one member from the group consisting of a weather forecast for an area associated with the entity, a number of occupants in the entity, energy-related activities of the occupants in the entity, a type, cost, and usage of loads associated with the entity, a type, cost, and usage of energy sources associated with the entity, and a type, cost, and usage of energy storages associated with the entity.

21. The apparatus of claim 13, wherein the processor is further configured to:

predict a second energy consumption level for the load; and

predict a second energy generation level for the energy source.

22. The apparatus of claim 21, wherein the processor is further configured to generate, based at least partly on the second energy consumption level for the load and the second energy generation level for the energy source, a first schedule and a second schedule for operating the load and charging or discharging an energy storage.

23. The apparatus of claim 22, wherein the processor is further configured to:

determine a first energy cost for the first schedule and a second energy cost for the second schedule;

determine the first energy cost is lower than the second energy cost; and

select the first schedule.

24. An apparatus for controlling a load and an energy source associated with an entity, the apparatus comprising:

means for establishing a first connection to a first control device for monitoring a first energy consumption level for the load;

means for establishing a second connection to a second control device for monitoring a first energy generation level for the energy source;

means for receiving the first energy consumption level for the load from the first control device;

means for receiving the first energy generation level for the energy source from the second control device;

means for determining, for a first period, based at least partly on the first energy consumption level for the load and the first energy generation level for the energy source, a first energy level associated with the entity;

means for determining, for a second period, a contextual data associated with the entity;

means for determining, for the second period, based at least partly on the first energy level and the contextual data, a second energy level associated with the entity; and

at least one of;

means for controlling the load based at least partly on the second energy level; and

means for controlling the energy source based at least partly on the second energy level.

25. The apparatus of claim 24, further comprising:

means for predicting a second energy consumption level for the load;

means for predicting a second energy generation level for the energy source;

means for generating, based at least partly on the second energy consumption level for the load and the second energy generation level for the energy source, a first schedule and a second schedule for operating the load and charging or discharging an energy storage;

means for determining a first energy cost for the first schedule and a second energy cost for the second schedule;

means for determining the first energy cost is lower than the second energy cost; and

means for selecting the first schedule.

26. A non-transitory computer readable medium for controlling a load and an energy source associated with an entity, the non-transitory computer readable medium comprising code, the code, when executed by one or more processors of a computing device, causes the computing device to:

receive a first energy consumption level for the load from a first control device;

receive a first energy generation level for the energy source from a second control device;

determine, for a first period, based at least partly on the first energy consumption level for the load and the first energy generation level for the energy source, a first energy level associated with the entity;

determine, for a second period, a contextual data associated with the entity;

determine, for the second period, based at least partly on the first energy level and the contextual data, a second energy level associated with the entity; and

at least one of;

control the load based at least partly on the second energy level; and

control the energy source based at least partly on the second energy level.

27. The non-transitory computer readable medium of claim 26, wherein determining the first energy level comprises determining a variability in the first energy level, and determining the contextual data comprises determining a variability in the contextual data.

28. The non-transitory computer readable medium of claim 26, wherein the code, when executed by the one or more processors of the computing device, further causes the computing device to communicate with the load, the energy source, and an energy storage.

29. The non-transitory computer readable medium of claim 26, wherein the contextual data comprises at least one member from the group consisting of a weather forecast for an area associated with the entity, a number of occupants in the entity, energy-related activities of the occupants in the entity, a type, cost, and usage of loads associated with the entity, a type, cost, and usage of energy sources associated with the entity, and a type, cost, and usage of energy storages associated with the entity.

30. The non-transitory computer readable medium of claim 26, wherein the code, when executed by the one or more processors of the computing device, further causes the computing device to:

predict a second energy consumption level for the load;

predict a second energy generation level for the energy source;

generate, based at least partly on the second energy consumption level for the load and the second energy generation level for the energy source, a first schedule and a second schedule for operating the load and charging or discharging an energy storage;

determine a first energy cost for the first schedule and a second energy cost for the second schedule;

determine the first energy cost is lower than the second energy cost; and

select the first schedule.