SYSTEMS AND METHODS FOR DETERMINING AND UTILIZING CUSTOMER ENERGY PROFILES FOR LOAD CONTROL FOR INDIVIDUAL STRUCTURES, DEVICES, AND AGGREGATION OF SAME

• US 20120221163A1
• Filed: 05/04/2012
• Published: 08/30/2012
• Est. Priority Date: 08/28/2007
• Status: Active Grant

• Current Assignee: Causam Enterprises, Inc.
• Original Assignee: Causam Energy, Inc.
• Inventors: Forbes, Joseph W. Jr.
• Granted Patent: US 9,177,323 B2
• Time in Patent Office: Days
• US Class Current: 700/295
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• 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 70/3225 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 50/14 Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Abstract

A system and method for creating and making use of customer profiles, including energy consumption patterns. Devices within a service point, using the active load director, may be subject to control events, often based on customer preferences. These control events cause the service point to use less power. Data associated with these control events, as well as related environment data, are used to create an energy consumption profile for each service point. This can be used by the utility to determine which service points are the best targets for energy consumption. In addition, an intelligent load rotation algorithm determines how to prevent the same service points from being picked first each time the utility wants to conserve power.

Claims

1. A method for determining and using customer energy profiles to manage electrical load control events on a communications network between a server in communication with an electric grid operator or any market participant associated with an electric grid and a client device at each of a plurality of service points, comprising the steps of:

generating, at the server, a customer profile for each of a plurality of customers including at least energy consumption information for a plurality of controllable energy consuming devices at an associated service point;

storing the plurality of customer profiles in a database at the server for use in load control events;

aggregating the plurality of customer profiles into a plurality of groups based on at least one predetermined criterion;

generating, at the server, a candidate list of service points for load control events based on the predetermined criterion;

sending a load control event to at least one selected service point in the candidate list of service points in response to an energy reduction request including a target energy savings received from the electric grid operator or any market participant associated with an electric grid via the communications network;

determining, at the server, an energy savings for the plurality of controllable energy consuming devices resulting from the load control event at the selected service point, wherein each of the plurality of controllable energy consuming devices has a corresponding power supply value associated with a reduction in consumed power resulting from the load control event;

determining, at the server, if the resulting energy savings is at least equal to the target energy savings.

2. The method of claim 1, further including the step of the transforming the power supply value corresponding to each of the plurality of controllable energy consuming devices into an aggregate power supply value.

3. The method of claim 2, further including the step of associating the aggregate power supply value with the aggregated customer profiles.

4. The method of claim 1, further including the step of sending the load control event to at least one selected additional service point in the candidate list of service points in order to reach the target energy savings.

5. The method of claim 1, further comprising determining a individual service point selection criterion for each of a plurality of service points aggregated into each group.

6. The method of claim 5, further comprising selecting the at least one service point based on the individual service point criterion.

7. The method of claim 5, wherein the individual service point criterion includes any one of a sequential selection, a random selection, and a selection based on a number of previous control events sent to the at least one service point.

8. The method of claim 1, wherein the predetermined criterion for aggregating the plurality of customer profiles into the plurality of groups includes any one of a random selection, a drift factor, a logical geodetic point, an efficiency rating for each controllable energy consuming device at an associated service point, a customer preference, a proximity to a transmission line, a pricing signal, and a priority for an emergency situation.

9. The method of claim 1, further comprising recording a location in the candidate list of service points at which the target energy savings is reached.

10. The method of claim 1, further comprising resuming sending load control events to at least one previously selected service point until the target energy savings is reached.

11. The method of claim 1, wherein the predetermined criterion for aggregating the plurality of customer profiles into the plurality of groups further includes any one of a low energy use customer, a day time energy user, a swimming pool energy user, or other categories of energy users.

12. The method of claim 1, wherein the customer profile further includes identification of any power generating device at the associated service point that can be added to an electrical power grid in response to a load control event sent to the service point.

13. The method of claim 1, wherein the customer profile for each of the plurality of customers further includes at least one of a customer name, a customer address, a meter identifier, and controllable device information for each of the plurality of energy consuming devices at the service point.

14. The method of claim 1, wherein the energy consumption information in each customer profile includes at least one of a set point for a climate-controlled device, an energy use in a specified time period, an energy savings in a specified time period, a drift time per unit temperature, a power time per unit temperature.

15. The method of claim 1, wherein the customer profile for each of the plurality of customers further includes a plurality of variability factors resulting in a unique energy consumption pattern at the associated service point.

16. The method of claim 1, further comprising determining a drift associated with each service point, wherein the drift is an amount of time for a climate-controlled device to move from a set point temperature to an upper or lower temperature boundary defined in the customer profile.

17. The method of claim 1, further comprising determining a power time associated with each service point, wherein the power time is an amount of time for a climate-controlled device to move from an upper or lower temperature boundary defined in the customer profile to a set point temperature.

18. The method of claim 17, wherein the set point is a temperature that is a midpoint between an upper and a lower temperature boundary defined in the customer profile for control events.

19. The method of claim 1, wherein a temperature associated with a climate-controlled device at the selected service point drifts towards a maximum or minimum temperature boundary during the load control event.

20. The method of claim 19, further comprising returning power to the climate-controlled device when either a maximum or a minimum temperature boundary is reached.

21. The method of claim 1, further comprising generating an energy consumption pattern for each service point that reflects an amount of energy used by each service point to maintain a normal mode of operation.

22. The method of claim 21, further comprising deriving a performance curve for each service point, and determining an amount of energy reduction that can be realized from the load control event at each service point.

23. The method of claim 1, further comprising applying the load control event to an inefficient controllable energy consuming device at the service point.

24. The method of claim 1, further comprising applying the load control event to a controllable energy consuming device at the service point having a low rate of drift, wherein the drift is an amount of time for a climate-controlled device to move from a set point temperature to an upper or lower temperature boundary defined in the customer profile.

25. The method of claim 24, further comprising applying the load control event to a controllable energy consuming device at the service point for a time that is commensurate with the rate of drift.

26. The method of claim 1 further comprising determining a device payback period for replacing at least one controllable energy consuming device at the service point.

27. The method of claim 1 further comprising sending a load control event to add energy to the plurality of service points to dissipate any excess energy added to the electrical power grid by power generating devices at associated service points.

28. A system for determining and using customer energy profiles to manage electrical load control events on a communications network between a server in communication with an electric grid operator or any market participant associated with an electric grid and a client device at each of a plurality of service points, comprising:

a memory storing a database containing a plurality of customer profiles for load control events wherein each customer profile includes at least energy consumption information for a plurality of controllable energy consuming devices at an associated service point;

a server processor, cooperative with the memory, and configured for managing electrical load control events on the communications network to the plurality of service points by;

generating a customer profile for each of a plurality of customers;

aggregating the plurality of customer profiles into a plurality of groups based on at least one predetermined criterion;

generating a candidate list of service points for load control events based on the predetermined criterion;

sending a load control event to at least one selected service point in the candidate list of service points in response to an energy reduction request including a target energy savings received from the electric grid operator or any market participant associated with an electric grid via the communications network;

determining an energy savings for the plurality of controllable energy consuming devices resulting from the load control event at the selected service point, wherein each of the plurality of controllable energy consuming devices has a corresponding power supply value associated with a reduction in consumed power resulting from the load control event;

determining if the resulting energy savings is at least equal to the target energy savings.

29. The system of claim 28, wherein the system is further operable for sending the load control event to at least one selected additional service point in the candidate list of service points in order to reach the target energy savings.

30. The system of claim 28, wherein the power supply value corresponding to each of the plurality of controllable energy consuming devices is transformed into an aggregate power supply value.

31. The system of claim 28, wherein the power supply value for each of the at least one controllable energy consuming devices is compared to the target energy savings for the load control event.

32. The system of claim 31, further including the step of associating the aggregate power supply value with the aggregated customer profiles.

33. The system of claim 28, further including the step of sending the load control event to at least one selected additional service point in the candidate list of service points in order to reach the target energy savings.

34. The system of claim 28 wherein the processor is further configured for selecting the at least one service point based on an individual service point criterion for each of a plurality of service points aggregated into each group.

35. The system of claim 34 wherein the individual service point criterion includes any one of a sequential selection, a random selection, and a selection based on a number of previous control events sent to the at least one service point.

36. The system of claim 28 wherein the predetermined criterion for aggregating the plurality of customer profiles into the plurality of groups includes any one of a random selection, a drift factor, a logical geodetic point, an efficiency rating for each controllable energy consuming device at an associated service point, a customer preference, a proximity to a transmission line, a pricing signal, and a priority for an emergency situation.

37. The system of claim 28 wherein the processor is further configured for recording a location in the candidate list of service points at which the target energy savings is reached.

38. The system of claim 28 wherein the processor is further configured for resuming sending load control events to at least one previously selected service point until the target energy savings is reached.

39. The system of claim 28 wherein the processor is further configured for identifying in the customer profile for a customer any power generating device at the associated service point that can be added to an electrical power grid in response to a load control event sent to the service point.

40. The system of claim 28 wherein the customer profile for each of the plurality of customers includes at least one of a customer name, a customer address, a meter identifier, and controllable device information for each of the plurality of energy consuming devices at the service point.

41. The system of claim 28 wherein the energy consumption information in each customer profile includes at least one of a set point for a climate-controlled device, an energy use in a specified time period, an energy savings in a specified time period, a drift time per unit temperature, a power time per unit temperature.

42. The system of claim 28 wherein the customer profile for each of the plurality of customers further includes a plurality of variability factors resulting in a unique energy consumption pattern at the associated service point.

43. The system of claim 28 wherein the processor is further configured for determining a drift associated with each service point, wherein the drift is an amount of time for a climate-controlled device to move from a set point temperature to an upper or lower temperature boundary defined in the customer profile.

44. The system of claim 28 wherein the processor is further configured for determining a power time associated with each service point, wherein the power time is an amount of time for a climate-controlled device to move from an upper or lower temperature boundary defined in the customer profile to a set point temperature.

45. The system for determining and using customer energy profiles of claim 44 wherein the set point is a temperature that is a midpoint between an upper and a lower temperature boundary defined in the customer profile for control events.

46. The system of claim 28 wherein a temperature associated with a climate-controlled device at the selected service point drifts towards a maximum or minimum temperature boundary during the load control event.

47. The system of claim 28 wherein the processor is further configured for returning power to the climate-controlled device when either a maximum or a minimum temperature boundary is reached.

48. The system of claim 28 wherein the processor is further configured for generating an energy consumption pattern for each service point that reflects an amount of energy used by each service point to maintain a normal mode of operation.

49. The system of claim 48 wherein the processor is further configured for deriving a performance curve for each service point, and determining an amount of energy reduction that can be realized from the load control event at each service point.

50. The system of claim 28 wherein the processor is further configured for applying the load control event to an inefficient controllable energy consuming device at the service point.

51. The system of claim 28 wherein the processor is further configured for applying the load control event to a controllable energy consuming device at the service point having a low rate of drift, wherein the drift is an amount of time for a climate-controlled device to move from a set point temperature to an upper or lower temperature boundary defined in the customer profile.

52. The system of claim 51 wherein the processor is further configured for applying the load control event to a controllable energy consuming device at the service point for a time that is commensurate with the rate of drift.

53. The system of claim 28 wherein the processor is further configured for determining a device payback period for replacing at least one controllable energy consuming device at the service point.

54. The system of claim 53 wherein the processor is further configured for sending a load control event to add energy to the plurality of service points to dissipate any excess energy added to the electrical power grid by power generating devices at associated service points.