Predictive contract system and method

• US 7,310,572 B2
• Filed: 09/16/2005
• Issued: 12/18/2007
• Est. Priority Date: 09/16/2005
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Havlena, Vladimir, Findejs, Jiri
• Primary Examiner(s): Kosowski; Alexander
• Assistant Examiner(s): SHECHTMAN, SEAN P
• Application Number:
  US11/228,922
• Publication Number:
  US 20070067068A1
• Time in Patent Office: 823 Days
• Field of Search: 700/286, 700/287, 700/291, 700295-298, 703/18, 702 60- 62, 705/412
• US Class Current: 700/291
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A control method includes modeling a power generation apparatus, monitoring the generation of a total amount power from the power generation apparatus, monitoring internal consumption of power for a power generation apparatus, acquiring a power generation requirement for a first selected time period of a power generation apparatus to meet a power contract, and projecting an amount of total power needed over a diminishing time varying prediction horizon based on the model, the power generation requirement and the internal consumption.

Claims

1. A control method comprising:

acquiring a power generation requirement for a selected time period of a power generation entity to meet a power contract;

monitoring an internal power consumption of power for a power generation entity;

monitoring the total generation of power from the power generation entity;

projecting an amount of total power needed over a remaining portion of the selected time period to meet the power generation requirement for the selected time period and to meet the internal power consumption, the projected amount of total power needed over a selected time period including an amount of total power produced over a past portion of the selected time period;

predicting a range of power generation achievable by the power generation entity over a portion of the selected time period remaining; and

determining whether the projected amount of total power is within the range of power generation achievable over the selected time period.

2. The method of claim 1 wherein the internal power consumption over a selected time period includes an amount of power for delivery to customers, and an amount of power for operating the power generation entity.

3. The method of claim 1 further comprising predicting an optimal power generation trajectory to meet the projected amount of total power needed over the remaining portion of the selected time period.

4. The method of claim 3 wherein predicting an optimal power generation includes using a model-based predictive control engine running in administering horizon mode.

5. The method of claim 3 further comprising determining whether the predicted optimal power generation trajectory to meet the projected amount of power needed over the remaining portion of the selected time period is within the range of power generation achievable over the remaining portion of the selected time period.

6. The method of claim 1 wherein predicting a range of power generation achievable over the portion of the selected time period remaining includes predicting a range that includes at least one disturbance variable.

7. The method of claim 1 wherein projecting an amount of total power needed over the selected time period includes an amount of power actually generated during the portion of the selected amount of time that has passed.

8. The method of claim 1 wherein monitoring internal power consumption for a power generation entity, monitoring the total generation of power from the power generation entity, projecting an amount of total power needed over the selected time period based on the power generation requirement and the internal consumption, and determining whether the projected amount of total power is within the range of power generation achievable over the selected time period is done a plurality of times within the selected time period.

9. The method of claim 1 wherein monitoring internal power consumption for a power generation entity, monitoring the total generation of power from the power generation entity, projecting an amount of total power needed over the selected time period based on the power generation requirement and the internal consumption, and determining whether the projected amount of total power is within the range of power generation achievable over the selected time period is done substantially continuously.

10. The method of claim 1 further comprising generating a warning when the projected amount of total power is outside of the range of power generation achievable over a first selected amount of time.

11. The method of claim 10 further comprising implementing corrective action to enable the power generation entity to meet the total amount of power needed to meet the internal consumption and the power generation requirement for the first selected time period.

12. The method of claim 11 wherein implementing corrective action includes generating power from an additional power entity to meet the power generation requirement.

13. The method of claim 11 wherein implementing corrective action includes selling excess power to a power grid.

14. The method of claim 1 further comprising modifying a trajectory to meet total power needed when the projected amount of total power is outside of the range of power generation achievable over the first selected amount of time.

15. A control method comprising:

modeling a power generation apparatus;

monitoring a generation of a total amount power from the power generation apparatus;

monitoring internal consumption of power for a power generation apparatus;

acquiring a power generation requirement for a first selected time period of a power generation apparatus to meet a power contract;

projecting an amount of total power needed over a diminishing time varying prediction horizon based on the model, the power generation requirement and the internal consumption;

predicting a range of power generation values achievable over the prediction horizon; and

determining whether the projected amount of total power is within the range of power generation achievable over the prediction horizon.

16. The method of claim 15 further comprising predicting an optimal power execution trajectory over the prediction horizon to meet the projected amount of power needed over the prediction horizon.

17. The method of claim 16 further comprising determining whether the predicted optimal power execution trajectory to meet the projected amount of power is within the range of power generation achievable over the prediction horizon.

18. The method of claim 15 wherein predicting a range of power generation achievable over the prediction horizon includes predicting a range that includes at least one disturbance variable.

19. A tangible machine-readable medium that includes a set of instructions, the instructions, when executed by a machine, cause the machine to perform operations comprising:

modeling a power generation apparatus;

monitoring a generation of a total amount power from the power generation apparatus;

monitoring internal consumption of power for a power generation apparatus;

acquiring a power generation requirement for a first selected time period of a power generation apparatus to meet a power contract;

projecting an amount of total power needed over a diminishing time varying prediction horizon based on the model, the power generation requirement and the internal consumption;

predicting a range of power generation values achievable over the diminishing time varying prediction horizon; and

determining whether the projected amount of total power is within the range of power generation achievable over the prediction horizon.

20. The tangible machine readable medium of claim 19 wherein the instructions that cause a machine to perform operations when executed by the machine further comprise determining whether a predicted optimal power execution trajectory to meet the projected amount of power is within the range of power generation achievable over the prediction horizon.

21. The tangible machine readable instruction of claim 19 wherein predicting a range of power generation achievable over the prediction horizon includes predicting a range that includes at least one disturbance variable.