Customized electric power storage device for inclusion in a collective microgrid

• US 9,263,894 B2
• Filed: 05/25/2012
• Issued: 02/16/2016
• Est. Priority Date: 03/21/2007
• Status: Active Grant

• Current Assignee: National Technology & Engineering Solutions Of Sandia LLC (Honeywell International Inc.)
• Original Assignee: Sandia Corporation (Martin Marietta Corporation)
• Inventors: Robinett, Rush D. III, Wilson, David G., Goldsmith, Steven Y.
• Primary Examiner(s): Bahta, Kidest
• Application Number:
  US13/481,418
• Publication Number:
  US 20120232709A1
• Time in Patent Office: 1,362 Days
• Field of Search: 700/286, 700/295, 700/291, 700/297, 700/287, 700/97, 700/275, 700/276, 320/134, 320/137, 320/160, 307/31, 307/151, 360/20
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2300/20 The dispersed energy generation being of renewable origin
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy
• CPC Class Codes: H02J 3/38 Arrangements for parallely feeding a single network by two or more generators, converters or transformers
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 7/34 Parallel operation in networks using both storage and other dc sources, e.g. providing buffering H02J7/14 takes precedence
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

An electric power storage device is described herein, wherein the electric power storage device is included in a microgrid. The electric power storage device has at least one of a charge rate, a discharge rate, or a power retention capacity that has been customized for a collective microgrid. The collective microgrid includes at least two connected microgrids. The at least one of the charge rate, the discharge rate, or the power retention capacity of the electric power storage device is computed based at least in part upon specified power source parameters in the at least two connected microgrids and specified load parameters in the at least two connected microgrids.

Claims

1. A method, comprising:

receiving an indication that at least two microgrids represented as computer-implemented models are coupled by way of an electric transmission line to create a collective microgrid model, the electric transmission line operative to couple respective buses of the at least two microgrids, wherein each computer-implemented model of a microgrid comprises representations of the following;

a source of electric power;

a variable load that consumes electric power; and

a power bus that electrically couples the source of electric power and the variable load, wherein the source of electric power is configured to charge the power bus, and wherein the variable load consumes power from the power bus; and

responsive to receiving the indication, outputting a control algorithm that comprises at least one parameter of at least one electric power storage device that is to be placed in the collective microgrid, the at least one parameter customized for the collective microgrid, and wherein the at least one parameter conforms to a stability constraint defined for the collective microgrid;

wherein the at least one parameter of the at least one storage device is one of electric power storage capacity, charge rate, or discharge rate; and

implementing the control algorithm in an electric power storage device in a collective microgrid represented by the collective microgrid model.

2. The method of claim 1, wherein the source of electric power in at least one of the two microgrids is a variable source of electric power.

3. The method of claim 2, wherein the variable source of electric power comprises at least one of a photovoltaic power system, a wind turbine, a geothermal power system, a solar power tower, or a hydro pump.

4. The method of claim 1, wherein the data is indicative of values of at least one parameter for multiple storage devices distributed at different locations in the collective microgrid.

5. The method of claim 1, wherein the power buses in the at least two microgrids are direct current power buses.

6. The method of claim 1, wherein the computer-implemented models comprise representations of respective variable loads that are indicative of time-varying requirements of the variable loads.

7. The method of claim 1, wherein each microgrid in the plurality of microgrids is respectively modeled as comprising a plurality of boost converters.

8. The method of claim 1, wherein the data comprises a profile of the at least one parameter of the at least one electric power storage device, wherein the profile is indicative of the at least one parameter of the electric power storage device that is to be included in the collective microgrid that satisfies the stability constraint.

9. A system, comprising:

a receiver component that receives an indication that a plurality of computer-readable models of microgrids are desirably combined to create a computer-readable model of a collective microgrid, wherein each computer-readable model of a microgrid comprises a respective computer-readable representation of a power source and a respective computer-readable representation of a load; and

a profile calculator component that, responsive to the receiver component receiving the indication, generates a control algorithm comprising a customized profile for at least one parameter of an electric power storage device for inclusion in the collective microgrid,

wherein the profile generator component generates the customized profile based at least in part upon the plurality of computer-readable models of microgrids that are desirably combined to create the computer-readable model of the collective microgrid having a predetermined stability constraint; and

wherein the control algorithm is implemented in at least one electric power storage device in a collective microgrid represented by the collective microgrid model.

10. The system of claim 9, wherein the customized profile conforms to at least one stability constraint for the collective microgrid.

11. The system of claim 9, wherein the computer-readable representation of the power source represents the power source as a variable power source.

12. The system of claim 11, wherein the computer-readable representation of the power source represents the power source as one of a photovoltaic power system, a wind turbine, a geothermal power system, a solar power tower, or a hydro pump.

13. The system of claim 9, wherein the computer-readable representation of the loads represents the load as a time-varying load.

14. The system of claim 9, wherein each computer-readable model of a microgrid comprises a representation of a respective direct current bus, and wherein the computer-readable model of the collective microgrid comprises a computer-readable representation of a transmission line between respective direct current buses represented in the computer-readable models of the microgrids.

15. The system of claim 9, wherein the customized profile for the storage device conforms to a collection of batteries.

16. The system of claim 9, wherein the customized profile for the storage device conforms to a flywheel.

17. The system of claim 9, wherein the customized profile for the storage device conforms to a capacitor bank.