Systems and methods for optimal sizing of one or more grid-scale batteries for frequency regulation service, including determining a desired battery output power for the one or more batteries for a particular period of time. A battery size is optimized for the one or more batteries for the particular period of time, and the optimizing is repeated using different time periods to generate a set of optimal battery sizes based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries. A most optimal battery is selected from the set of optimal battery sizes.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method for optimal sizing of one or more grid-scale batteries for frequency regulation service, comprising: determining a desired battery output power for the one or more batteries for a particular period of time; optimizing a battery size for the one or more batteries for the particular period of time, and repeating the optimizing using different time periods to generate a set of optimal battery sizes based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries; and selecting a most optimal battery from the set of optimal battery sizes. 2. The method of claim 1, further comprising inputting an objective function for the optimizing, the objective function being a battery size of one or more Energy Storage Systems (ESSs). 3. The method of claim 1, wherein the particular period of time is one week. 4. The method of claim 3, wherein the optimization is iteratively repeated for every week in a year to determine an optimal battery size for frequency regulation (FR) services for an entire year. 5. The method of claim 1, wherein the operational constraints include at least one of a battery power to regulate frequency, a battery state of charge (SOC) difference, or one or more battery SOC limitations. 6. The method of claim 1, wherein the quality criteria constraints include at least one of a quality criterion of Active Power Change or a quality criterion of Required Active Power. 7. The method of claim 1, wherein the most optimal battery is a minimum sized battery capable of performing all requested functions of one or more Energy Storage Systems (ESSs). 8. A system for optimal sizing of one or more grid-scale batteries for frequency regulation service, comprising: a power determiner to establish a desired battery output power for the one or more batteries for a particular period of time; an optimizer to determine an optimal minimum battery size for the one or more batteries for the particular period of time and to generate a set of optimal battery sizes by determining an optimal minimum battery size for one or more different periods of time based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries; and a selector to choose a most optimal battery from the set of optimal battery sizes. 9. The system of claim 8, wherein an objective function is input into the optimizer, the objective function being a battery size of one or more Energy Storage Systems (ESSs). 10. The system of claim 8, wherein the particular period of time is one week. 11. The system of claim 10, wherein the optimizer determines an optimal minimum battery size for each week in a year to generate a set of optimal minimum battery sizes for frequency regulation (FR) services for an entire year. 12. The system of claim 8, wherein the operational constraints include at least one of a battery power to regulate frequency, a battery state of charge (SOC) difference, or one or more battery SOC limitations. 13. The system of claim 8, wherein the quality criteria constraints include at least one of a quality criterion of Active Power Change or a quality criterion of Required Active Power. 14. The system of claim 8, wherein the most optimal battery is a minimum sized battery capable of performing all requested functions of one or more Energy Storage Systems (ESSs). 15. A computer-readable storage medium comprising a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform the steps of: determining a desired battery output power for one or more grid-scale batteries for frequency regulation service for a particular period of time; optimizing a battery size for the one or more batteries for the particular period of time, and repeating the optimizing using different time periods to generate a set of optimal battery sizes based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries; and selecting a most optimal battery from the set of optimal battery sizes. 16. The computer-readable storage medium of claim 15, further comprising inputting an objective function for the optimizing, the objective function being a battery size of one or more Energy Storage Systems (ESSs). 17. The computer-readable storage medium of claim 15, wherein the particular period of time is one week. 18. The computer-readable storage medium of claim 17, wherein the optimization is iteratively repeated for every week in a year to determine an optimal battery size for frequency regulation (FR) services for an entire year. 19. The computer-readable storage medium of claim 15, wherein the operational constraints include at least one of a battery power to regulate frequency, a battery state of charge (SOC) difference, or one or more battery SOC limitations. 20. The computer-readable storage medium of claim 15, wherein the most optimal battery is a minimum sized battery capable of performing all requested functions of one or more Energy Storage Systems (ESSs).