Systems and methods for controlling and managing thermostatically controlled loads

1. A method for managing thermostatically controlled loads (TCLs), the method comprising:

acquiring, using communication circuitry of a central controller, data from a plurality of TCLs including at least thermal parameters associated with each TCL of the plurality of TCLs and a regulation signal data;

prioritizing, using processing circuitry of the central controller, the plurality of TCLs based on a contribution of each TCL to an overall service;

generating, using the processing circuitry, an optimization curve based on the prioritization, the optimization curve having at least a reward criteria as an optimization attribute;

determining, using the processing circuitry, the optimization attribute associated with each TCL of the plurality of TCLs; and

outputting, using the communication circuitry, the optimization attribute associated with each TCL for a regulation period to each TCL,

wherein the prioritizing step includes

identifying a number of TCLs in a homogeneous control group,

determining a service provision capability index (SPCI) for each TCL, the SPCI being a function of a service quality and wear-and-tear of each TCL, and

ranking the TCLs based on the determined SPCIs.

2. The method of claim 1 , further comprising:

identifying a subset of the plurality of TCLs based on the prioritizing; and

sending command signals to the subset of the plurality of TCLs during a subsequent regulation period.

3. The method of claim 1 , wherein the acquiring further includes:

acquiring operation data from a set of TCLs; and

including a TCL in the plurality of TCLs when the operation data indicates that the TCL is participating in the regulation period.

4. The method of claim 1 , wherein the wear-and-tear of each TCL is a function of a ratio of switching index and the service quality is determined based on a power mismatch.

5. The method of claim 1 , wherein determining the optimization attribute further includes:

generating a maximum service capacity curve; and

wherein the optimization attribute is a function of the optimization curve and a total reward attribute.

6. The method of claim 1 , wherein the prioritizing further includes determining a maximum service capacity for each TCL based on a bisection method.

7. The method of claim 1 , wherein the TCL is a heat pump, an air conditioning system, a ventilation system, a water heater, a freezer, or a refrigerator.

8. The method of claim 1 , wherein the regulation period ranges from one hour to twenty-four hours.

9. A system for managing thermostatically controlled loads (TCLs), the system comprising:

a plurality of TCLs; and

a central controller configured to:

acquire data from the plurality of TCLs including at least thermal parameters associated with each TCL of the plurality of TCLs and a regulation signal data,

prioritize the plurality of TCLs based on a contribution of each TCL to an overall service,

generate an optimization curve based on the prioritization, the optimization curve having at least a reward criteria as an optimization attribute,

determine the optimization attribute associated with each TCL of the plurality of TCLs, and

output the optimization attribute associated with each TCL for a regulation period to each TCL, wherein the prioritizing includes

identify a number of TCLs in a homogeneous control group,

determine a service provision capability index (SPCI) for each TCL, the SPCI being a function of a service quality and wear-and-tear of each TCL, and

rank the TCLs based on the determined SPCIs.

10. The system of claim 9 , wherein the central controller is further configured to:

identify a subset of the plurality of TCLs based on the prioritizing; and

send command signals to the subset of the plurality of TCLs during a subsequent regulation period.

11. The system of claim 9 , wherein the acquiring further includes:

acquire operation data from a set of TCLs; and

include a TCL in the plurality of TCLs when the operation data indicates that the TCL is participating in the regulation period.

12. The system of claim 9 , wherein the wear-and-tear of each TCL is a function of a ratio of switching index and the service quality is determined based on a power mismatch.

13. The system of claim 9 , wherein the central controller is further configured to:

generate a maximum service capacity curve; and

wherein the reward attribute is a function of the optimization curve and a total reward attribute.

14. The system of claim 9 , wherein the TCL is a heat pump, an air conditioning system, a ventilation system, a water heater, a freezer, or a refrigerator.

15. The system of claim 9 , wherein the regulation period ranges from one hour to twenty-four hours.

16. A non-transitory computer readable medium storing computer-readable instructions therein which when executed by a computer cause the computer to perform a method for managing thermostatically controlled loads (TCLs), the method comprising:

acquiring data from a plurality of TCLs including at least thermal parameters associated with each TCL of the plurality of TCLs and a regulation signal data;

prioritizing the plurality of TCLs based on a contribution of each TCL to an overall service;

generating an optimization curve based on the prioritization, the optimization curve having at least reward criteria as an optimization attribute;

determining an optimization attribute associated with each TCL of the plurality of TCLs; and

outputting the optimization attribute associated with each TCL for a regulation period to each TCL, wherein the prioritizing step includes

identifying a number of TCLs in a homogeneous control group,

determining a service provision capability index (SPCI) for each TCL, the SPCI being a function of a service quality and wear-and-tear of each TCL, and

ranking the TCLs based on the determined SPCIs.