Multi-tier benefit optimization for operating the power systems including renewable and traditional generation, energy storage, and controllable loads

• US 20070100503A1
• Filed: 10/31/2005
• Published: 05/03/2007
• Est. Priority Date: 10/31/2005
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Balan, Chellappa, Bose, Sumit, Ye, Zhihong, Liu, Yan, Bebic, Jovan, Garces, Luis, de Bedout, Juan
• Granted Patent: US 7,315,769 B2
• Time in Patent Office: Days
• US Class Current: 700/286
• 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 2300/40 wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 3/48 Controlling the sharing of the in-phase component
• CPC Class Codes: H02J 3/50 Controlling the sharing of the out-of-phase component
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects

Abstract

A plurality of power generating assets are connected to a power grid. The grid may, if desired, be a local grid or a utility grid. The power grid is connected to a plurality of loads. The loads may, if desired, be controllable and non-controllable. Distribution of the power to the loads is via a controller that has a program stored therein that optimizes the controllable loads and the power generating assets. The optimization process is via multi-tier benefit construct.

Claims

1. An intelligent renewable based system comprising:

a controller with a memory said memory having stored therein a program;

a plurality of data structures forming said program;

said program data structures controlling a multi-tier benefit optimization of a power grid;

said power grid having renewable power generating assets, water generating assets and controllable loads connectively disposed thereto; and

said multi-tier benefit optimization program maximizes the direct and indirect benefits generated by said renewable power generating assets, water generating assets and said controllable loads.

2. An intelligent renewable based system as recited in claim 1, flyer comprising forecasted power demand from said renewable power generating assets being passed to said controller for benefit optimization by said program.

3. An intelligent renewable based system as recited in claim 1, further comprising forecasted water demand from said water generating assets being passed to said controller for benefit optimization by said program.

4. An intelligent renewable based system as recited in claim 1, wherein said renewable power generating assets passing forecasted resource availably to said controller.

5. An intelligent renewable based system as recited in claim 1, wherein said renewable power generating asset is a hydrogen engine deriving its fuel from hydrogen storage via a desalination plant and an electrolyser.

6. An intelligent renewable based system as recited in claim 1, wherein said controllable loads are selected from a group consisting of hydrogen storage, electrolyser plant and desalination plant.

7. An intelligent renewable based system as recited in claim 1, where said renewable power generating assets are selected from a group consisting of wind power, hydroelectric power, solar, geothermal and hydrogen engine-generators.

14. A method for an intelligent renewable based system as recited in claim 1, wherein optimizing comprises maximizing a sum of multi-tier benefits, each multi-tier benefit associated with a respective power generating asset or power load and comprising a sum of weighted benefit as a function of power.

8. An intelligent renewable based system comprising:

a controller with a memory said memory having stored therein a program;

a plurality of data structures tinning said program;

said program data structures controlling a multi-tier benefit optimization of a power grid;

said power grid having power generating assets and controllable loads connectively disposed thereto; and

said multi-tier benefit optimization maximizes the sum of multi-tier direct and indirect benefits generated by said power generating assets and produced by said controllable loads.

9. An intelligent renewable based system as recited in claim 8, wherein said power grid is an electric ship.

10. An intelligent renewable based system as recited in claim 8, wherein each multi-tier benefit is associated with a respective power generating asset or controllable load and comprises a sum of weighted benefit as a function of power.

11. A method for an intelligent renewable based system comprising:

providing renewable power generating assets connectively disposed to a power grid;

providing power loads connectively disposed to said power grid;

optimizing said provided renewable power generating assets and said provided power loads via a multi-tier direct and indirect benefit optimization;

generating power from said optimized renewable power generating assets; and

distributing said generated power to said optimized power loads.

12. A method for an intelligent renewable based system as recited in claim 11, further comprising:

providing water generating assets;

providing water loads;

providing storage assets;

generating water from said provided water generating assets;

storing water via said storage assets;

generating power from said stored water; and

distributing said generated power to said provided water loads.

13. A method for an intelligent renewable based system in claim 11, wherein said power loads are controllable.

15. A method for an intelligent renewable based system as recited in claim 11, wherein said renewable power-generating assets are selected from a group consisting of wind power, hydroelectric power, fossil fueled power and energy storage.

16. A method for an intelligent renewable based system as recited in claim 11, further comprising maximizing extraction of power from renewable power generating assets based on adjustable droop characteristics.

17. A method for an intelligent renewable based system as recited in claim 12, wherein said water-generating assets are selected from a group consisting of desalination of seawater and water storage,

18. A method for an intelligent renewable based system as recited in Claim 15, wherein said fossil fueled asset is a diesel engine-generator.

19. A method for an intelligent renewable based system as recited in claim 15, wherein said energy storage units are compressed hydrogen fueling tanks in communication with said hydrogen engine-generators.

20. A method for an intelligent renewable based system as recited in claim 13, wherein said controllable loads are desalination plants.