Power generation optimization in microgrid including renewable power source

• US 9,026,259 B2
• Filed: 01/25/2012
• Issued: 05/05/2015
• Est. Priority Date: 01/25/2012
• Status: Active Grant

• Current Assignee: GE Digital Holdings LLC (GE Aerospace)
• Original Assignee: General Electric Company
• Inventors: Zadeh, Mohammad Reza Dadash, Hajimiragha, Amirhossein, Krok, Michael Joseph
• Primary Examiner(s): Fennema, Robert
• Assistant Examiner(s): Sivanesan, Sivalingam
• Application Number:
  US13/358,487
• Publication Number:
  US 20130190938A1
• Time in Patent Office: 1,196 Days
• Field of Search: 700/291
• US Class Current: 700/291
• CPC Class Codes: H02J 13/00006 characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
• 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 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 3/466 Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/123 the energy generation units being or involving renewable energy sources
• 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
• CPC Class Codes: Y04S 40/12 characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

A microgrid including a renewable power source is optimized by treating the renewable source as operating in an isochronous mode, and by decomposing the optimization process. A renewable capability is defined for the renewable source to enable treatment of the renewable source as operating in an isochronous mode. The renewable capability may be based on a power rating of the renewable source. An objective function of the microgrid optimization problem may then be optimized while treating the renewable source as operating in an isochronous mode. A penalty factor may be applied to avoid power shortage.

Claims

1. A system for controlling a microgrid, the system comprising a dispatch controller configured to communicate with a plurality of microgrid assets, the plurality of microgrid assets including at least one renewable source, the dispatch controller further being configured to:

receive a forecast load on the microgrid;

receive a forecast power production of the at least one renewable source;

determine a renewable capability for each respective renewable power source being treated as an isochronous source, each renewable capability being a parameter representing a percentage of a power rating of the respective renewable source being treated as operating in an isochronous mode;

optimize a solution of an optimization problem associated with microgrid operation over a predetermined time horizon, the solution of the optimization problem being based on at least an objective function associated with microgrid operation, the forecast load, the forecast power production, and the renewable capability of each renewable power source; and

determine an optimized dispatch schedule based on the optimized solution, the optimized dispatch schedule including control signals to the plurality of microgrid assets.

2. The system of claim 1, wherein the plurality of microgrid assets includes at least one energy storage device, the dispatch controller is further configured to determine a state of charge of each energy storage device, and the solution of the objective function is further based on the state of charge of each energy storage device.

3. The system of claim 1, wherein the plurality of microgrid assets includes at least one energy storage device, the dispatch controller is further configured to determine a storage capability of each energy storage device, and the solution of the objective function is further based on the storage capability of each energy storage device.

4. The system of claim 1, wherein the plurality of microgrid assets includes at least one energy storage device and the dispatch controller is further configured to determine a maximum power discharge of each energy storage device and the solution of the objective function is further based on the maximum power discharge of each energy storage device.

5. The system of claim 1, wherein the objective function is based on at least a cost of operation of the microgrid.

6. The system of claim 1, wherein a positive slack variable is used with the objective function.

7. The system of claim 6, wherein the positive slack variable is multiplied by a penalty factor.

8. The system of claim 1, wherein the objective function is based at least in part on the relationship:

9. The system of claim 1, wherein the dispatch controller is further configured to apply at least one asset constraint of each respective renewable source being treated as operating in an isochronous mode, the at least one asset constraint being determined based on at least a power production capability of a respective renewable source.

10. The system of claim 1, wherein the dispatch controller is further configured to apply at least one asset constraint of each respective renewable source being treated as operating in an isochronous mode, the at least one asset constraint being determined based on at least a power rating of a respective renewable source.

11. A dispatch control system configured to operate in response to algorithmic software to generate an optimized dispatch schedule for a plurality of assets of a microgrid, the plurality of assets including a renewable source, the generation of the optimized dispatch schedule being based on at least an objective function associated with operation of the plurality of assets, a forecast load, a forecast power production of the renewable source, and a renewable capability for each respective renewable power source being treated as an isochronous source, each renewable capability being a parameter representing a percentage of a power rating of the respective renewable source being treated as operating in an isochronous mode.

12. The dispatch control system of claim 11, wherein the plurality of microgrid assets includes at least one energy storage device, the system is further configured to determine a state of charge of each energy storage device, and the optimized dispatch schedule is further based on the state of charge of each energy storage device.

13. The dispatch control system of claim 11, wherein the plurality of microgrid assets includes at least one energy storage device, the system is further configured to determine a storage capability of the energy storage device, and the optimized dispatch schedule is further based on the storage capability of each energy storage device.

14. The dispatch control system of claim 11, wherein the plurality of microgrid assets includes at least one energy storage device, the system is further configured to determine a maximum power discharge of each energy storage device, and the optimized dispatch schedule is further based on the maximum power discharge of each energy storage device.

15. The dispatch control system of claim 11, wherein the optimized dispatch schedule is generated to optimize a cost of operation of the microgrid.

16. The dispatch control system of claim 11, wherein a positive slack variable is used with the objective function.

17. The dispatch control system of claim 16, wherein the positive slack variable is multiplied by a penalty factor.

18. The dispatch control system of claim 17, wherein the objective function is based at least in part on the relationship:

19. The dispatch control system of claim 11, wherein the optimized dispatch schedule is generated based on at least one asset constraint of the respective renewable source, the at least one asset constraint being determined based on a power production capability of the renewable source.

20. The dispatch control system of claim 11, wherein the optimized dispatch schedule is generated based on at least one asset constraint of the respective renewable source, the at least one asset constraint being determined based on a power rating of the renewable source.