DISTRIBUTED ENERGY DEMAND MANAGEMENT

• US 20160124411A1
• Filed: 04/27/2015
• Published: 05/05/2016
• Est. Priority Date: 10/31/2014
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Tinnakornsrisuphap, Peerapol, Chen, Shengbo, Attar, Rashid Ahmed Akbar
• Application Number:
  US14/697,137
• Publication Number:
  US 20160124411A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 19/0428 Safety, monitoring G05B19/0423 takes precedence
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• 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 20/00 Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

Distributed energy demand management mechanisms for a distributed energy network are disclosed. In one example, a local energy controller of a local energy system determines projected energy demand information for a plurality of energy devices of the local energy system based on energy pricing information received from a central energy coordinator. The local energy controller modifies an energy consumption schedule during an energy pricing transition period based on energy access control information received from the central energy coordinator to manage a projected energy demand increase during the energy pricing transition period of the distributed energy network. In one example, the central energy coordinator determines the energy pricing information for the distributed energy network based on energy supply information and the projected energy demand information. The central energy coordinator determines the energy access control information based on the projected energy demand increase during the energy pricing transition period.

Claims

1. A method for managing energy demand comprising:

determining, by a local energy controller of a local energy system, energy pricing information of a distributed energy network for a first time period;

determining projected energy demand information for a plurality of energy devices of the local energy system for the first time period based, at least in part, on the energy pricing information for the first time period; and

providing the projected energy demand information to a central energy coordinator of the distributed energy network.

2. The method of claim 1, wherein determining the projected energy demand information for the first time period comprises:

determining an energy consumption schedule for the plurality of energy devices for the first time period based, at least in part, on the energy pricing information for the first time period; and

determining the projected energy demand information for the first time period based, at least in part, on the energy consumption schedule for the first time period.

3. The method of claim 2, further comprising:

determining a local energy generation schedule for generating energy using a local energy generator of the local energy system during the first time period; and

determining the projected energy demand information for the first time period based, at least in part, on the energy consumption schedule for the first time period and the local energy generation schedule for the first time period.

4. The method of claim 2, wherein determining the energy consumption schedule for the first time period is based on at least one member of the group consisting of a dynamic energy pricing schedule, energy consumption information associated with the local energy system, and user information associated with the local energy system.

5. The method of claim 4, wherein,

the energy consumption information is at least one member of the group consisting of user-programmed energy consumption schedules, user-programmed energy consumption preferences, historical energy consumption information, and local energy generation schedules, and

the user information is at least one member of the group consisting of user occupancy patterns and user energy usage patterns.

6. The method of claim 1, further comprising:

determining an energy consumption schedule for the plurality of energy devices based, at least in part, on the energy pricing information, wherein the energy pricing information is received from the central energy coordinator of the distributed energy network;

receiving energy access control information from the central energy coordinator, wherein the energy access control information indicates an energy pricing transition period having a projected energy demand increase; and

modifying the energy consumption schedule during the energy pricing transition period based, at least in part, on the energy access control information to manage the projected energy demand increase during the energy pricing transition period of the distributed energy network.

7. The method of claim 6, wherein modifying the energy consumption schedule comprises modifying a rate of energy consumption during the energy pricing transition period for at least a subset of the plurality of energy devices based, at least in part, on the energy access control information.

8. The method of claim 6, wherein modifying the energy consumption schedule comprises shifting a timing of energy consumption for at least a subset of the plurality of energy devices based, at least in part on the energy access control information.

9. The method of claim 6, wherein the energy access control information comprises at least one member of the group consisting of a ramp rate control parameter, a token bucket parameter, a backoff time window parameter, and an energy access probability parameter.

10. The method of claim 6, wherein the plurality of energy devices includes a first category of energy devices and a second category of energy devices, and the energy access control information includes first access control parameters and second access control parameters, wherein modifying the energy consumption schedule comprises:

modifying the energy consumption schedule for the first category of energy devices based, at least in part, on the first access control parameters; and

modifying the energy consumption schedule for the second category of energy devices based, at least in part, on the second access control parameters.

11. The method of claim 1, further comprising:

determining an energy consumption schedule for the plurality of energy devices based, at least in part, on the energy pricing information received from the central energy coordinator, wherein the plurality of energy devices includes a first category of energy devices and a second category of energy devices, and

wherein determining the energy consumption schedule comprises at least one member of the group consisting of

scheduling of energy consumption for the first category of energy devices having a first priority before scheduling of energy consumption for the second category of energy devices having a second priority, wherein the first priority is higher than the second priority, and

shifting the scheduling of energy consumption for the second category of energy devices from a second time period having a first energy cost to a third time period having a second energy cost, wherein the second energy cost is lower than the first energy cost.

12. A method for managing energy demand comprising:

receiving, at a central energy coordinator of a distributed energy network, projected energy demand information from a plurality of local energy controllers of the distributed energy network;

determining energy supply information for the distributed energy network;

determining energy pricing information for the distributed energy network based, at least in part, on the projected energy demand information and the energy supply information; and

determining energy access control information based, at least in part, on a projected energy demand increase during an energy pricing transition period.

13. The method of claim 12, further comprising:

determining an aggregate of the projected energy demand information received from the plurality of local energy controllers; and

determining the projected energy demand increase during the energy pricing transition period from the aggregate of the projected energy demand information.

14. The method of claim 12, wherein the energy pricing transition period is a time period between a first time instant having a first energy price and a second time instant having a second energy price, wherein a difference between the first energy price and the second energy price exceeds a threshold.

15. The method of claim 12, further comprising providing the energy access control information to the plurality of local energy controllers to reduce the projected energy demand increase during the energy pricing transition period.

16. The method of claim 12, further comprising providing the energy pricing information to the plurality of local energy controllers.

17. The method of claim 12, wherein determining the energy pricing information comprises determining a projected energy pricing schedule for a first time period based, at least in part, on the projected energy demand information for the first time period and the energy supply information for the first time period.

18. The method of claim 12, further comprising determining that the projected energy demand increase is a projected energy demand spike, wherein determining the energy access control information is based on at least one characteristic of the projected energy demand spike.

19. The method of claim 18, wherein determining that the projected energy demand increase is the projected energy demand spike is based, at least in part, on determining that a rate of the projected energy demand increase exceeds a threshold rate.

20. The method of claim 18, wherein the at least one characteristic of the projected energy demand spike comprises at least one member of the group consisting of a ramp up rate associated with the projected energy demand spike and a change in energy demand associated with the projected energy demand spike.

21. The method of claim 12, wherein receiving projected energy demand information comprises:

receiving a plurality of projected energy demand schedules from the plurality of local energy controllers; and

determining an aggregate of the plurality of projected energy demand schedules that indicates a total projected energy demand for the distributed energy network during a plurality of time increments of a first time period.

22. A local energy controller for managing energy demand comprising:

a processor; and

a memory to store instructions, which when executed by the processor, cause the local energy controller to;

determine energy pricing information of a distributed energy network for a first time period;

determine projected energy demand information for a plurality of energy devices of a local energy system for the first time period based, at least in part, on the energy pricing information for the first time period; and

provide the projected energy demand information to a central energy coordinator of the distributed energy network.

23. The local energy controller of claim 22, wherein the instructions, which when executed by the processor, cause the local energy controller to:

determine an energy consumption schedule for the plurality of energy devices for the first time period based, at least in part, on the energy pricing information for the first time period; and

determine the projected energy demand information for the first time period based, at least in part, on the energy consumption schedule for the first time period.

24. The local energy controller of claim 23, wherein the instructions, which when executed by the processor, cause the local energy controller to:

determine a local energy generation schedule for generating energy using a local energy generator of the local energy system during the first time period; and

determine the projected energy demand information for the first time period based, at least in part, on the energy consumption schedule for the first time period and the local energy generation schedule for the first time period.

25. The local energy controller of claim 22, wherein the instructions, which when executed by the processor, cause the local energy controller to:

determine an energy consumption schedule for the plurality of energy devices based, at least in part, on the energy pricing information, wherein the energy pricing information is received from the central energy coordinator of the distributed energy network;

receive energy access control information from the central energy coordinator, wherein the energy access control information indicates an energy pricing transition period having a projected energy demand increase; and

modify the energy consumption schedule during the energy pricing transition period based, at least in part, on the energy access control information to manage the projected energy demand increase during the energy pricing transition period of the distributed energy network.

26. The local energy controller of claim 25, wherein the instructions, which when executed by the processor, cause the local energy controller to modify the energy consumption schedule comprise instructions to modify a rate of energy consumption during the energy pricing transition period for at least a subset of the plurality of energy devices based, at least in part, on the energy access control information.

27. The local energy controller of claim 25, wherein the instructions, which when executed by the processor, cause the local energy controller to modify the energy consumption schedule comprise instructions to shift a timing of energy consumption for at least a subset of the plurality of energy devices based, at least in part on the energy access control information.

28. The local energy controller of claim 25, wherein the energy access control information comprises at least one member of the group consisting of a ramp rate control parameter, a token bucket parameter, a backoff time window parameter, and an energy access probability parameter.

29. The local energy controller of claim 25, wherein the plurality of energy devices includes a first category of energy devices and a second category of energy devices, and the energy access control information includes first access control parameters and second access control parameters, wherein the instructions, which when executed by the processor, cause the local energy controller to modify the energy consumption schedule comprise instructions to:

modify the energy consumption schedule for the first category of energy devices based, at least in part, on the first access control parameters; and

modify the energy consumption schedule for the second category of energy devices based, at least in part, on the second access control parameters.

30. A central energy coordinator for managing energy demand comprising:

a processor; and

a memory to store instructions, which when executed by the processor, cause the central energy coordinator to;

receive projected energy demand information from a plurality of local energy controllers of a distributed energy network;

determine energy supply information for the distributed energy network;

determine energy pricing information for the distributed energy network based, at least in part, on the projected energy demand information and the energy supply information; and

determine energy access control information based, at least in part, on a projected energy demand increase during an energy pricing transition period.

31. The central energy coordinator of claim 30, wherein the instructions, which when executed by the processor, cause the central energy coordinator to:

determine an aggregate of the projected energy demand information received from the plurality of local energy controllers; and

determine the projected energy demand increase during the energy pricing transition period from the aggregate of the projected energy demand information.

32. The central energy coordinator of claim 30, wherein the energy pricing transition period is a time period between a first time instant having a first energy price and a second time instant having a second energy price, wherein a difference between the first energy price and the second energy price exceeds a threshold.

33. The central energy coordinator of claim 30, wherein the instructions, which when executed by the processor, cause the central energy coordinator to provide the energy access control information to the plurality of local energy controllers to reduce the projected energy demand increase during the energy pricing transition period.

34. The central energy coordinator of claim 30, wherein the instructions, which when executed by the processor, cause the central energy coordinator to:

receive a plurality of projected energy demand schedules from the plurality of local energy controllers; and

determine an aggregate of the plurality of projected energy demand schedules that indicates a total projected energy demand for the distributed energy network.

35. A non-transitory machine-readable storage medium having machine executable instructions stored therein, the machine executable instructions comprising instructions to:

determine, by a local energy controller of a local energy system, energy pricing information of a distributed energy network for a first time period;

determine projected energy demand information for a plurality of energy devices of the local energy system for the first time period based, at least in part, on the energy pricing information for the first time period; and

provide the projected energy demand information to a central energy coordinator of the distributed energy network.

36. The non-transitory machine-readable storage medium of claim 35, wherein the instructions to determining the projected energy demand information for the first time period comprise instructions to:

determine an energy consumption schedule for the plurality of energy devices for the first time period based, at least in part, on the energy pricing information for the first time period; and

determine the projected energy demand information for the first time period based, at least in part, on the energy consumption schedule for the first time period.

37. The non-transitory machine-readable storage medium of claim 36, further comprising instructions to:

determine a local energy generation schedule for generating energy using a local energy generator of the local energy system during the first time period; and

determine the projected energy demand information for the first time period based, at least in part, on the energy consumption schedule for the first time period and the local energy generation schedule for the first time period.

38. The non-transitory machine-readable storage medium of claim 35, further comprising instructions to:

determine an energy consumption schedule for the plurality of energy devices based, at least in part, on the energy pricing information, wherein the energy pricing information is received from the central energy coordinator of the distributed energy network;

receive energy access control information from the central energy coordinator, wherein the energy access control information indicates an energy pricing transition period having a projected energy demand increase; and

modify the energy consumption schedule during the energy pricing transition period based, at least in part, on the energy access control information to manage the projected energy demand increase during the energy pricing transition period of the distributed energy network.

39. The non-transitory machine-readable storage medium of claim 38, wherein the instructions to modify the energy consumption schedule comprise instructions to modify a rate of energy consumption during the energy pricing transition period for at least a subset of the plurality of energy devices based, at least in part, on the energy access control information.

40. The non-transitory machine-readable storage medium of claim 38, wherein the instructions to modify the energy consumption schedule comprise instructions to shift a timing of energy consumption for at least a subset of the plurality of energy devices based, at least in part on the energy access control information.