Intelligent Power Unit, and Applications Thereof

• US 20090094173A1
• Filed: 10/05/2007
• Published: 04/09/2009
• Est. Priority Date: 10/05/2007
• Status: Abandoned Application

• Current Assignee: GreenSmith Energy Management Systems, Inc (Wartsila Oyj Abp)
• Original Assignee: Adaptive Logic Control, LLC
• Inventors: SMITH, Rodney G., Werbos, Ludmilla D., Werbos, Paul J.
• Application Number:
  US11/868,169
• Publication Number:
  US 20090094173A1
• Time in Patent Office: Days
• US Class Current: 705/412
• CPC Class Codes: G01R 21/1335 Tariff switching circuits
• CPC Class Codes: G06Q 50/06 Energy or water supply
• 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

The present invention provides an intelligent power unit, and applications thereof. In an embodiment, the intelligent power unit includes a battery, a power switch, and a control unit. The control unit receives price information and operates the power switch based on the price information to charge the battery during periods of relatively low electrical energy prices. During periods of relatively high electrical energy prices, the control unit cause the energy stored in the battery to be used to power attached loads. The price information provided to the control unit can be actual price information regarding the cost to generate electrical power, estimated price information, or contract price information. It is a feature of the intelligent power unit of the present invention that it can be used to shift a utility'"'"'s electrical power demand in time.

Claims

1. A power unit, comprising:

a power switch; and

a control unit coupled to the power switch,

wherein the control unit receives price information and operates the power switch based on the price information.

2. The power unit of claim 1, wherein the price information is one of actual price information regarding cost to generate electrical power, estimated price information, and contract price information.

3. The power unit of claim 1, wherein the price information is received from one of an electrical power meter, a computer, and a keypad.

4. The power unit of claim 1, wherein the control unit receives load information and operates the power switch based on the load information.

5. The power unit of claim 4, wherein the control unit receives load information from a current transformer.

6. The power unit of claim 1, wherein the control unit receives environmental information and operates the power switch based on the environmental information.

7. The power unit of claim 6, wherein the control unit receives environmental information from one of a computer and a sensor.

8. The power unit of claim 1, wherein the control unit includes a load scheduler.

9. The power unit of claim 8, wherein the load scheduler provides a control signal to one of a heating unit, an air-conditioning unit, and a water heater.

10. The power unit of claim 1, wherein the control unit includes programmable price information.

11. The power unit of claim 1, further comprising:

a battery coupled to the power switch.

12. The power unit of claim 1, further comprising:

a keypad coupled to the control unit.

13. An control unit, comprising:

a prediction module; and

an action module coupled to the prediction module,

wherein the prediction module operates on price information and generates a control value based on the price information, and the action module generates an output value that is used to control operation of a power switch.

14. The control unit of claim 13, wherein the price information is one of actual price information regarding cost to generate electrical power, estimated price information, and contract price information.

15. The control unit of claim 13, wherein the prediction module receives load information and uses a neural network to combine the load information and the price information and generate the control value.

16. The control unit of claim 13, wherein the prediction module receives environmental information and uses a neural network to combine the environmental information and the price information and generate the control value.

17. The control unit of claim 13, wherein the action module generate a value that is used to control one of a heating unit, an air-conditioning unit, and a water heater.

18. A power unit, comprising:

a battery; and

a control unit coupled to the battery,

wherein the control unit receives price information and controls the charging of the battery based on the price information.

19. The power unit of claim 18, further comprising:

a solar panel coupled to the battery.

20. The power unit of claim 18, further comprising:

a windmill coupled to the battery.