Systems and methods for minimizing energy costs for a power consumption system that has access to off-grid resources

• US 9,639,904 B2
• Filed: 03/15/2013
• Issued: 05/02/2017
• Est. Priority Date: 12/11/2012
• Status: Active Grant

• Current Assignee: Engie Services US Incorporated
• Original Assignee: Opterra Energy Services, Inc.
• Inventors: Idrees, Osama Mohammed, Alegria, Eduardo Alberto, Potter, David Sterling
• Primary Examiner(s): Fennema, Robert
• Assistant Examiner(s): Norton, Jennifer L
• Application Number:
  US13/836,253
• Publication Number:
  US 20140163756A1
• Time in Patent Office: 1,509 Days
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2300/10 The dispersed energy generation being of fossil origin, e.g. diesel generators
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

A method includes: calculating a load prediction arising from an power consumption entity over a prospective time period; calculating a predicted off-grid power supply from an off-grid power supply; minimizing, for a respective time interval, a calculated amount of electrical-power to import from a power grid, in accordance with output from a cost function; and, for at least one interval, importing, from the power grid, the corresponding calculated amount of electrical-power corresponding to the at least one interval. The cost function uses: (i) a multi-component time of use tariff schedule associated with the power grid that includes a first power rate during a prospective time period and second power rate during a second time period, (ii) the load prediction over the prospective time period, (iii) the predicted off-grid electrical-power supply over the prospective time period, (iv) a state of a rechargeable battery.

Claims

1. A method, comprising:

at a computer system having one or more processors and memory storing one or more programs executed by the one or more processors;

calculating a load prediction arising from an electrical-power consumption entity over a prospective time period;

calculating a predicted off-grid electrical-power supply from an off-grid electrical-power supply over the prospective time period;

minimizing, for a respective time interval in a plurality of time intervals, a calculated amount of electrical-power to import from a power grid during the respective time interval, in accordance with output from a cost function, wherein the cost function uses;

(i) a multi-component time of use tariff schedule associated with the power grid that includes a first power rate during a prospective time period and second power rate during a second time period, wherein the first power rate is other than the second power rate,

(ii) the load prediction over the prospective time period,

(iii) the predicted off-grid electrical-power supply over the prospective time period, and

(iv) a state of a rechargeable battery, wherein the plurality of time intervals collectively accounts for the prospective time period; and

for at least one interval in the plurality of time intervals,

importing, from the power grid, the corresponding calculated amount of electrical-power corresponding to the at least one interval.

2. The method of claim 1 wherein, for a respective time interval in the plurality of time intervals, the cost function further uses an amount of off-grid electrical-power produced by the off-grid electrical-power supply during a historical time period.

3. The method of claim 1 wherein, for a respective time interval in the plurality of time intervals, the cost function further uses an integration or average of the actual load from the electrical-power consumption entity across a reference time interval.

4. The method of claim 3 wherein the reference time interval occurs on the same day as the prospective time period.

5. The method of claim 1 wherein, for a respective time interval in the plurality of time intervals, the cost function further uses an integration or average of the actual off-grid electrical-power supply generated during a reference interval.

6. The method of claim 5, wherein the reference time interval occurs on the same day as the prospective time period.

7. The method of claim 1, wherein calculating the predicted off-grid electrical-power supply from the off-grid electrical-power supply over the prospective time period uses a weather report for the prospective time period.

8. The method of claim 1, wherein the cost function provides the calculated amount of electrical-power to import from a power grid during the respective time interval as an instantaneous value across the respective time interval.

9. The method of claim 8, wherein the cost function uses instantaneous current load from the electrical-power consumption entity across the respective time interval.

10. The method of claim 1, further comprising storing at least a portion of an off-grid electrical-power supply produced by the off-grid electrical-power supply in the rechargeable battery.

11. The method of claim 1, wherein the multi-component time of use tariff schedule includes a load charge and an energy charge by the power grid, respectively, during (i) a peak-consumption time period, (ii) a partial-peak consumption time period, and (iii) an off-peak consumption time period.

12. The method of claim 1, wherein the prospective time period is between 3 and 10 days and a respective time interval in the plurality of time intervals is between 30 minutes and 6 hours.

13. The method of claim 1, wherein the off-grid electrical-power supply includes a renewable energy supply.

14. The method of claim 1, wherein the off-grid electrical-power supply is affected by, at least in part, one or more natural events that are uncontrollable by a user.

15. The method of claim 1, wherein the off-grid electrical-power supply includes power supply from one of:

a photovoltaic power source, a fuel cell power source, a hydro-electric power source, a geo-thermal power source, a wind turbine, a diesel generator, and an albedo source.

16. The method of claim 1, wherein the off-grid electrical-power supply includes power supply from two or more of:

a photovoltaic power source, a fuel cell power source, a hydro-electric power source, a geo-thermal power source, a wind turbine, a diesel generator, and an albedo source.

17. The method of claim 1, wherein the state of the rechargeable battery includes one of:

a charge rate, a total capacity, a remaining capacity, and a type associated with the rechargeable battery.

18. The method of claim 1, wherein the off-grid electrical-power supply over the prospective time period is predicated using:

(i) availability of the off-grid electrical-power supply over the prospective time period,

(ii) stability of the off-grid electrical-power supply over the prospective time period, and

(iii) likelihood of a natural event affecting the off-grid electrical-power supply over the prospective time period.

19. The method of claim 18, wherein the off-grid electrical-power supply includes a photovoltaic apparatus and wherein the natural event is time of year or time of day.

20. The method of claim 18, wherein the off-grid electrical-power supply includes a photovoltaic apparatus and wherein the natural event is inclement weather.

21. The method of claim 18, wherein the off-grid electrical-power supply over the prospective time period is further predicated based upon an amount of energy produced by all or a component of the off-grid electrical-power supply during a historical time period.

22. The method of claim 1, wherein the off-grid electrical-power supply includes a fuel cell and wherein the cost function further uses a rate of change in power production by the fuel cell during a reference period.

23. The method of claim 1, further comprising:

black-starting an isolated power system using electrical power stored in the rechargeable battery.

24. The method of claim 1, further comprising:

in response to a predefined change of load from the electrical-power consumption entity, storing electrical-power into the rechargeable battery or releasing electrical-power from the rechargeable battery.

25. The method of claim 1, wherein the rechargeable battery is configured for storing more than 1 megawatt-hour of power.

26. The method of claim 1, wherein the rechargeable battery is a lithium iron phosphate battery.

27. The method of claim 1, wherein the load prediction uses a weather report for the prospective time period.

28. The method of claim 1, wherein the electrical-power consumption entity is an individual residence.

29. The method of claim 1, wherein the electrical-power consumption entity is a town, building, city, a compound, a school, a university campus, a penitentiary, or a jail.

30. The method of claim 1, wherein the multi-component time of use tariff schedule is based on a real time pricing model.

31. The method of claim 1, wherein the off-grid electrical-power supply includes one or more generators;

and further comprising;

when supply exceeds load,

storing electrical power in the rechargeable battery without reducing power production from the one or more generators.

32. A computer system, comprising:

one or more processors;

memory; and

one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for;

calculating a load prediction arising from an electrical-power consumption entity over a prospective time period;

calculating a predicted off-grid electrical-power supply from an off-grid electrical-power supply over the prospective time period;

minimizing, for a respective time interval in a plurality of time intervals, a calculated amount of electrical-power to import from a power grid during the respective time interval, in accordance with output from a cost function, wherein the cost function uses;

(i) a multi-component time of use tariff schedule associated with the power grid that includes a first power rate during a prospective time period and second power rate during a second time period, wherein the first power rate is other than the second power rate,

(ii) the load prediction over the prospective time period,

(iii) the predicted off-grid electrical-power supply over the prospective time period,

(iv) a state of a rechargeable battery, wherein the plurality of time intervals collectively accounts for the prospective time period; and

for at least one interval in the plurality of time intervals,

importing, from the power grid, the corresponding calculated amount of electrical-power corresponding to the at least one interval.

33. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer system with one or more processors, cause the computer system to:

calculate a load prediction arising from an electrical-power consumption entity over a prospective time period;

calculate a predicted off-grid electrical-power supply from an off-grid electrical-power supply over the prospective time period;

minimize, for a respective time interval in a plurality of time intervals, a calculated amount of electrical-power to import from a power grid during the respective time interval, in accordance with output from a cost function, wherein the cost function uses;

(i) a multi-component time of use tariff schedule associated with the power grid that includes a first power rate during a prospective time period and second power rate during a second time period, wherein the first power rate is other than the second power rate,

(ii) the load prediction over the prospective time period,

(iii) the predicted off-grid electrical-power supply over the prospective time period,

(iv) a state of a rechargeable battery, wherein the plurality of time intervals collectively accounts for the prospective time period; and

for at least one interval in the plurality of time intervals,

import, from the power grid, the corresponding calculated amount of electrical-power corresponding to the at least one interval.