Method and apparatus for evaluating robustness of proposed solution to constraint problem and considering robustness in developing a constraint problem solution

• US 20070179919A1
• Filed: 12/21/2005
• Published: 08/02/2007
• Est. Priority Date: 12/21/2005
• Status: Active Grant

• Current Assignee: Global Nuclear Fuel Americas, LLC (General Electric Company)
• Original Assignee: General Electric Company
• Inventors: Asgari, Mehdi, Sutton, Steven, Kropaczek, David, Oyarzun, Christian
• Granted Patent: US 7,461,038 B2
• Time in Patent Office: Days
• US Class Current: 706/19
• CPC Class Codes: G05B 13/024 in which a parameter or coefficient is automatically adjusted to optimise the performance
• CPC Class Codes: G21D 3/001 Computer implemented control
• CPC Class Codes: Y02E 30/00 Energy generation of nuclear origin
• CPC Class Codes: Y02E 30/30 Nuclear fission reactors

Abstract

In an embodiment of a method of evaluating robustness of a proposed solution to a constraint problem, operational output data for at least first and second modified versions of the proposed solution is generated. The first modified version has at least one control variable of the proposed solution perturbed in a first direction and the second modified version has the at least one control variable of the proposed solution perturbed in a second direction. At least a portion of the generated operation output data is then presented such as on a graphical user interface.

Claims

1. A method of evaluating robustness of a proposed solution to a constraint problem, comprising:

generating operational output data for at least first and second modified versions of the proposed solution, the first modified version having at least one control variable of the proposed solution perturbed in a first direction and the second modified version having the at least one control variable of the proposed solution perturbed in a second direction; and

presenting at least a portion of the generated operation output data.

2. The method of claim 1, wherein the second direction is opposite to the first direction.

3. The method of claim 1, wherein the constraint problem is one of core design and operational strategy for a nuclear reactor.

4. The method of claim 3, wherein the at least one control variable is a control blade position for at least one control blade at at least one exposure.

5. The method of claim 3, wherein the at least one control variable is core flow.

6. The method of claim 3, wherein the at least one control variable is one of a control blade at one or several successive exposure steps, a set of ganged control blades at one or several successive exposure steps, core flow at one or several successive exposure steps, sequence exchange corresponding to a given exposure step, and feedwater temperature at one or several exposure steps.

7. The method of claim 3, wherein the presenting step presents data indicating at least the control variable perturbed in the first direction, the control variable perturbed in the second direction, at least a portion of the generated operational output data associated with the control variable perturbed in the first direction and at least a portion of the generated operational output data associated with the control variable perturbed in the second direction.

8. The method of claim 7, wherein the presenting step presents data indicating constraint information associated with the control variable perturbed in the first direction and constraint information associated with the control variable perturbed in the second direction.

9. The method of claim 8, wherein the presenting step presents at least a portion of the data graphically.

10. The method of claim 9, wherein the presenting step presents the data indicating constraint information graphically.

11. The method of claim 8, wherein the presenting step presents data indicating a statistical analysis of at least a portion of the data.

12. A method of configuring an objective function, comprising:

configuring an objective function to include at least one term accounting for robustness.

13. A method of evaluating a proposed solution for robustness, comprising:

configuring an objective function to includes at least one term accounting for robustness;

receiving input variable values for the objective function; and

generating a figure of merit for the proposed solution based on the configured objective function and the received input variable values.

14. A method of generating a solution to an optimization problem, comprising:

generating at least one candidate solution;

generating an objective function value using a configured objective function, the configured objective function including at least one term accounting for robustness; and

assessing convergence of a solution based on the objective function value.

15. A method for operating a system, comprising:

implementing a solution derived using an objective function that includes at least one term accounting for robustness.

16. An apparatus for evaluating robustness of a proposed solution to a constraint problem, comprising:

a processor generating operational output data for at least first and second modified versions of the proposed solution, the first modified version having at least one control variable of the proposed solution perturbed in a first direction and the second modified version having the at least one control variable of the proposed solution perturbed in a second direction; and

a user interface presenting at least a portion of the generated operation output data.