Systems and methods for determining and utilizing customer energy profiles for load control for individual structures, devices, and aggregation of same
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
H02J-003/00
G06Q-010/00
H02J-003/14
G06Q-030/02
G05B-015/02
출원번호
US-0790579
(2015-07-02)
등록번호
US-10116134
(2018-10-30)
발명자
/ 주소
Forbes, Jr., Joseph W.
출원인 / 주소
CAUSAM ENERGY, INC.
대리인 / 주소
Neo IP
인용정보
피인용 횟수 :
0인용 특허 :
140
초록▼
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
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.
대표청구항▼
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 power grid and a plurality of customers at a plur
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 power grid and a plurality of customers at a plurality of service points, comprising: generating, a plurality of customer profiles for the plurality of customers, wherein each customer profile comprises at least energy consumption information for a plurality of controllable energy consuming devices at the plurality of service points, wherein the plurality of controllable energy consuming devices include a plurality of controllable temperature control devices or building control systems;storing the plurality of customer profiles in a database for use in load control events;aggregating the plurality of customer profiles into at least one aggregate customer profile based on at least one predetermined criterion;generating a candidate list of service points for load control events based on the at least one predetermined criterion;sending a load control event to at least one service point selected from 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 the electric power grid via the communications network;determining an energy savings for the plurality of controllable energy consuming devices resulting from a reduction in consumed power associated with the load control event at the at least one service point, wherein the energy savings is determined based on a monetary supply equivalent value for each of the plurality of controllable energy consuming devices, wherein each monetary supply equivalent value is a measurement and a verification of the reduction in consumed power by each of the plurality of controllable energy consuming devices, wherein the monetary supply equivalent value is a curtailment value as a supply accepted by governing entities for awarding the plurality of customers; anddetermining the resulting energy savings is at least equal to the target energy savings. 2. The method of claim 1, further comprising transforming the measurement and the verification of the reduction in consumed power into a power supply value (PSV) corresponding to each of the plurality of controllable energy consuming devices and aggregating the PSV corresponding to each of the plurality of controllable energy consuming devices into at least one aggregate PSV. 3. The method of claim 2, further comprising associating the at least one aggregate PSV with the at least one aggregate customer profile. 4. The method of claim 1, wherein the energy consumption information 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, and a power time per unit temperature. 5. The method of claim 1, wherein each customer profile further includes a plurality of variability factors resulting in a unique energy consumption pattern at an associated service point. 6. 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 a customer profile. 7. The method of claim 6, further comprising determining a power time associated with each service point, wherein the power time is an amount of time for the climate-controlled device to move from the upper or the lower temperature boundary defined in the customer profile to the set point temperature. 8. The method of claim 6, wherein the set point temperature is a temperature that is a midpoint between the upper and the lower temperature boundary defined in the customer profile. 9. The method of claim 1, wherein a temperature associated with a climate-controlled device at the at least one service point drifts towards a maximum or a minimum temperature boundary during the load control event. 10. The method of claim 9, further comprising returning power to the climate-controlled device when either the maximum or the minimum temperature boundary is reached. 11. The method of claim 1, further comprising generating an energy consumption pattern for each service point. 12. The method of claim 11, 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. 13. The method of claim 1, further comprising 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. 14. The method of claim 1, further comprising determining an individual service point selection criterion for selecting individual service points. 15. The method of claim 1, wherein the at least one predetermined criterion for aggregating the plurality of customer profiles includes any one of a random selection, a drift factor, a logical geodetic point, an efficiency rating for each controllable temperature control 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. 16. The method of claim 1, wherein each customer profile further includes identification of any power generating device at an associated service point that can be added to the electric power grid in response to the load control event sent to the at least one service point. 17. The method of claim 1, wherein each customer profile further includes at least one of a customer name, a customer address, a meter identifier, and controllable temperature device information for each of the plurality of energy consuming devices. 18. The method of claim 1, further comprising applying the load control event to at least one of the plurality of controllable energy consuming devices at the at least one service point. 19. 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 power grid and a plurality of customers at 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 temperature control devices at the plurality of service points;a server processor, cooperative with the memory, and configured for managing the load control events on the communications network to the plurality of service points by: generating a plurality of customer profiles for the plurality of customers;aggregating the plurality of customer profiles into at least one aggregate customer profile based on at least one predetermined criterion;generating a candidate list of service points for load control events based on the at least one predetermined criterion;sending a load control event to at least one service point selected from 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 the electric power grid via the communications network;determining an energy savings for the plurality of controllable temperature control devices resulting from the load control event at the at least one service point, wherein the energy savings is determined based on a monetary supply equivalent value for each of the plurality of controllable temperature control devices, wherein each monetary supply equivalent value is a measurement and a verification of the reduction in consumed power corresponding to each of the plurality of controllable temperature control devices, wherein the monetary supply equivalent value is a curtailment value as a supply accepted by governing entities for awarding the plurality of customers;determining the resulting energy savings is at least equal to the target energy savings. 20. The system of claim 19, wherein a load to be controlled by the load control event includes a native load and/or operating reserves including regulating, spinning, and non-spinning types. 21. The system of claim 19, wherein the reduction in consumed power is transformed into a power supply value corresponding to each of the plurality of controllable temperature control devices. 22. The system of claim 21, wherein the power supply value for each of the plurality of controllable temperature control devices is transformed into an aggregate power supply value that is compared to the target energy savings for the load control event. 23. The system of claim 22, wherein the processor is further configured for associating the aggregate power supply value with the at least one aggregate customer profile. 24. The system of claim 19, wherein the processor is further configured for selecting the at least one service point based on an individual service point criterion. 25. The system of claim 19 wherein the at least one predetermined criterion for aggregating the plurality of customer profiles includes any one of a random selection, a drift factor, a logical geodetic point, an efficiency rating for each controllable temperature control 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.
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