Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/46858
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Type: Journal article
Title: Power plant maintenance scheduling using ant colony optimization: an improved formulation
Author: Foong, W.
Maier, H.
Simpson, A.
Citation: Engineering Optimization, 2008; 40(4):309-329
Publisher: Gordon Breach Sci Publ Ltd
Issue Date: 2008
ISSN: 0305-215X
1029-0273
Abstract: Abstract 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. As a result, both the optimum commencement time and the optimum outage duration are determined for each of the maintenance tasks that need to be scheduled. In addition, a local search strategy is presented in this article to boost the robustness of the algorithm. When tested on a five-station hydropower system problem, the improved formulation is shown to be capable of allowing shortening of maintenance duration in the event of expected demand shortfalls. In addition, the new local search strategy is also shown to have significantly improved the optimization ability of the ACO-PPMSO algorithm.
Keywords: power plant maintenance scheduling
Rights: © 2008 Taylor & Francis
RMID: 0020080397
DOI: 10.1080/03052150701775953
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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