IP Library › Granted Patent US 10,007,878
Granted Patent B2
US 10,007,878 · App. 14/465,195 · Granted Jun 26, 2018

Operation plan decision method and operation plan decision system

Inventors: Mika Kawata (Musashino, JP); Kenichi Ohara (Musashino, JP); Mitsunori Fukuzawa (Musashino, JP)
Assignee: Yokogawa Electric Corporation
G06N5/022G06Q10/0637
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Quick Facts
Patent No.
US 10,007,878
App. No.
14/465,195
Granted
Jun 26, 2018
Kind
B2
Abstract

An operation plan decision method includes deriving an feasible solution by using a constraint violation minimization model, updating candidates for an optimum solution and adding the updated candidates to a candidate list by taking the derived feasible solution, as an initial value of a candidate for the optimum solution, and by using a time cross-section division model that is obtained by dividing an optimization model for each time cross-section, and selecting the optimum solution from the candidate list to which the updated candidates are added.

Claims (33)

1. An operation plan decision method, executed by a computer, in which an operation plan is determined to satisfy constraint conditions, the method comprising:

deriving a feasible solution by using a constraint violation minimization model;

updating candidates for an optimum solution and adding the updated candidates to a candidate list by taking the derived feasible solution, as an initial value of a candidate for the optimum solution, and by using a time cross-section division model that is obtained by dividing an optimization model for each time cross-section; and

selecting, as the operation plan, the optimum solution that is a feasible solution for a large-scale and complicated plant model, from the candidate list to which the updated candidates are added, the operation plan being used for executing a scheduling task.

2. The operation plan decision method according to claim 1 , further comprising:

identifying a spot of a constraint violation for an infeasible solution when the feasible solution cannot be derived.

3. The operation plan decision method according to claim 1 ,

wherein when the feasible solution cannot be derived, the execution of the candidate updating is stopped.

4. The operation plan decision method according to claim 1 , further comprising:

preparing an energy flow diagram indicative of the flow of energy between equipment, based on figures indicative of the equipment;

generating a parameter input screen to correspond to the figures, and receiving parameters corresponding to the figures from the generated parameter input screen; and

generating the constraint violation minimization model, the time cross-section division model, an integer condition relaxation model, and an optimum solution selection model based on the parameters corresponding to the figures, which are received via the parameter input screen.

5. The operation plan decision method according to claim 1 , further comprising:

outputting the selected optimum solution.

6. The operation plan decision method according to claim 5 ,

wherein the selected optimum solution is output at a predetermined position on the parameter input screen.

7. An operation plan decision system in which an operation plan is determined to satisfy constraint conditions, the operation plan decision system comprising:

a computer configured to execute:

a feasible solution deriving module configured to derive a feasible solution by using a constraint condition minimization model;

a candidate updating module configured to update candidates for an optimum solution and adding the updated candidates to a candidate list by taking the feasible solution derived by the feasible solution deriving module, as an initial value of a candidate for the optimum solution, and by using a time cross-section division model that is obtained by dividing an optimization model for each time cross-section; and

an optimum solution selection module configured to select, as the operation plan, the optimum solution that is a feasible solution for a large-scale and complicated plant model, from the candidate list obtained by the candidate updating module, the operation plan being used for executing a scheduling task.

8. The operation plan decision system according to claim 7 , further comprising:

a constraint violation identification module configured to identify a spot of a constraint violation for an infeasible solution when the feasible solution cannot be derived by the feasible solution deriving module.

9. The operation plan decision system according to claim 7 ,

wherein when the feasible solution cannot be derived by the feasible solution deriving module, the execution of the candidate updating module is stopped.

10. The operation plan decision system according to claim 7 , further comprising:

an energy flow diagram preparation module configured to prepare an energy flow diagram indicative of the flow of energy between equipment, based on figures indicative of the equipment;

a parameter input module configured to generate a parameter input screen to correspond to the figures, and receiving parameters corresponding to the figures from the generated parameter input screen; and

a model generation module configured to generate the constraint violation minimization model, the time cross-section division model, an integer condition relaxation model, and an optimum solution selection model based on the parameters corresponding to the figures, which are received via the parameter input screen.

11. The operation plan decision system according to claim 7 , further comprising:

an optimum solution output module configured to output the optimum solution selected by the optimum solution selection module.

12. The operation plan decision system according to claim 11 ,

wherein the optimum solution output module outputs the optimum solution at a predetermined position on the parameter input screen.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 21, 2014
From: KAWATA, MIKA; OHARA, KENICHI; FUKUZAWA, MITSUNORI
To: YOKOGAWA ELECTRIC CORPORATION
Reel/Frame 033583/0091 →
Priority Claims (2)
JP 2013-173313 · Aug 23, 2013 · national
JP 2014-064787 · Mar 26, 2014 · national
Continuity (1)
Related Publication 20150058270A1 · Feb 26, 2015