| Article ID: | iaor2009989 |
| Country: | United Kingdom |
| Volume: | 40 |
| Issue: | 4 |
| Start Page Number: | 309 |
| End Page Number: | 329 |
| Publication Date: | Apr 2008 |
| Journal: | Engineering Optimization |
| Authors: | Maier Holger R., Simpson Angus R., Foong Wai Kuan |
| Keywords: | energy, heuristics, heuristics: ant systems, heuristics: local search |
It is common practice in the hydropower industry to either shorten the maintenance duration or to postpone maintenance tasks in a hydropower system when there is expected unserved energy based on current water storage levels and forecast storage inflows. It is therefore essential that a maintenance scheduling optimizer can incorporate the options of shortening the maintenance duration and/or deferring maintenance tasks in the search for practical maintenance schedules. In this article, an improved ant colony optimization–power plant maintenance scheduling optimization (ACO–PPMSO) formulation that considers such options in the optimization process is introduced.