Towards global solutions of optimal discrete-valued control problems
This paper proposes a new heuristic approach for solving optimal discrete-valued control problems. We illustrate the approach with an existing hybrid power system model. The problem of choosing an operating schedule to minimize generator, battery, and switching costs is first posed as a mixed discre...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Published: |
John Wiley and Sons, Ltd.
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/42338 |
| _version_ | 1848756392332099584 |
|---|---|
| author | Woon, S. Rehbock, Volker Loxton, Ryan |
| author_facet | Woon, S. Rehbock, Volker Loxton, Ryan |
| author_sort | Woon, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper proposes a new heuristic approach for solving optimal discrete-valued control problems. We illustrate the approach with an existing hybrid power system model. The problem of choosing an operating schedule to minimize generator, battery, and switching costs is first posed as a mixed discrete dynamic optimization problem. Then, a discrete filled function method is employed in conjunction with a computational optimal control technique to solve this problem. Computational results indicate that this approach is robust, efficient, and can successfully identify a near-global solution for this complex applied optimization problem despite the presence of multiple local optima. |
| first_indexed | 2025-11-14T09:11:28Z |
| format | Journal Article |
| id | curtin-20.500.11937-42338 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:11:28Z |
| publishDate | 2012 |
| publisher | John Wiley and Sons, Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-423382017-09-13T15:59:40Z Towards global solutions of optimal discrete-valued control problems Woon, S. Rehbock, Volker Loxton, Ryan mixed discrete optimization optimal control global optimization hybrid power system discrete filled function This paper proposes a new heuristic approach for solving optimal discrete-valued control problems. We illustrate the approach with an existing hybrid power system model. The problem of choosing an operating schedule to minimize generator, battery, and switching costs is first posed as a mixed discrete dynamic optimization problem. Then, a discrete filled function method is employed in conjunction with a computational optimal control technique to solve this problem. Computational results indicate that this approach is robust, efficient, and can successfully identify a near-global solution for this complex applied optimization problem despite the presence of multiple local optima. 2012 Journal Article http://hdl.handle.net/20.500.11937/42338 10.1002/oca.1015 John Wiley and Sons, Ltd. restricted |
| spellingShingle | mixed discrete optimization optimal control global optimization hybrid power system discrete filled function Woon, S. Rehbock, Volker Loxton, Ryan Towards global solutions of optimal discrete-valued control problems |
| title | Towards global solutions of optimal discrete-valued control problems |
| title_full | Towards global solutions of optimal discrete-valued control problems |
| title_fullStr | Towards global solutions of optimal discrete-valued control problems |
| title_full_unstemmed | Towards global solutions of optimal discrete-valued control problems |
| title_short | Towards global solutions of optimal discrete-valued control problems |
| title_sort | towards global solutions of optimal discrete-valued control problems |
| topic | mixed discrete optimization optimal control global optimization hybrid power system discrete filled function |
| url | http://hdl.handle.net/20.500.11937/42338 |