Simulated Annealing, Differential Evolution and Directed Search Methods for Generator Maintenance Scheduling

Energies 2020
Pavel Y. Gubin, Vladislav P. Oboskalov, Anatolijs Mahņitko, Romāns Petričenko

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
scheduling; generator; differential evolution; simulated annealing; maintenance; directed search
DOI
10.3390/en13205381
Hyperlink
https://www.mdpi.com/1996-1073/13/20/5381

Gubin, P.Y., Oboskalov, V.P., Mahņitko, A., Petričenko, R. Simulated Annealing, Differential Evolution and Directed Search Methods for Generator Maintenance Scheduling. Energies, 2020, Vol. 13, No. 20, Article number 5381. ISSN 1996-1073. e-ISSN 1996-1073. Available from: doi:10.3390/en13205381

Publication language
English (en)