LAPSE:2023.27006
Published Article
LAPSE:2023.27006
Simulated Annealing, Differential Evolution and Directed Search Methods for Generator Maintenance Scheduling
Pavel Y. Gubin, Vladislav P. Oboskalov, Anatolijs Mahnitko, Roman Petrichenko
April 3, 2023
Generator maintenance scheduling presents many engineering issues that provide power system personnel with a variety of challenges, and one can hardly afford to neglect these engineering issues in the future. Additionally, there is vital need for further development of the repair planning task complexity in order to take into account the vast majority of power flow constraints. At present, the question still remains as to which approach is the simplest and most effective, as well as appropriate for further application in the power flow-oriented statement of the repair planning problem. This research compared directed search, differential evolution, and very fast simulated annealing methods based on a number of numerical calculations and made conclusions about their prospective utilization in terms of a more complicated mathematical formulation of the repair planning task. A comparison of results shows that the effectiveness of directed search methods should not be underestimated, and that the pure differential evolution and very fast simulated annealing approaches are not essentially reliable for repair planning. The experimental results demonstrate the perspectivity of unifying single-procedure methods in order to net out risk associated with specific features of these approaches.
Keywords
differential evolution, directed search, generator, maintenance, Scheduling, simulated annealing
Suggested Citation
Gubin PY, Oboskalov VP, Mahnitko A, Petrichenko R. Simulated Annealing, Differential Evolution and Directed Search Methods for Generator Maintenance Scheduling. (2023). LAPSE:2023.27006
Author Affiliations
Gubin PY: Ural Power Engineering Institute, Ural Federal University, 620002 Yekaterinburg, Russia [ORCID]
Oboskalov VP: Ural Power Engineering Institute, Ural Federal University, 620002 Yekaterinburg, Russia [ORCID]
Mahnitko A: Institute of Power Engineering, Riga Technical University, LV-1048 Riga, Latvia
Petrichenko R: Institute of Power Engineering, Riga Technical University, LV-1048 Riga, Latvia
Journal Name
Energies
Volume
13
Issue
20
Article Number
E5381
Year
2020
Publication Date
2020-10-15
ISSN
1996-1073
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PII: en13205381, Publication Type: Journal Article
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LAPSE:2023.27006
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https://doi.org/10.3390/en13205381
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