An Investigation into the Effectiveness of the Differential Evolution Method for Optimal Generating Units Maintenance by EENS Criteria

2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2020): Conference Proceedings 2020
P. Gubin, V. Oboskalov, Anatolijs Mahņitko, Aleksandrs Gavrilovs

There are a number of ways to solve generating equipment maintenance problem by appliance of deterministic methods as well as heuristic ones. A differential evolution method as a heuristic one seems to be perspective tool for this task. The research demonstrates opportunity to apply differential evolution method to generating equipment maintenance planning problem basing on comparison between the method and directed search ones as well as analysis results of dependence of planning results on evolution method parameters.

Keywords
maintenance, generator, scheduling, differential evolution, directed search, power system
DOI
10.1109/RTUCON51174.2020.9316580
Hyperlink
https://ieeexplore.ieee.org/document/9316580

Gubin, P., Oboskalov, V., Mahņitko, A., Gavrilovs, A. An Investigation into the Effectiveness of the Differential Evolution Method for Optimal Generating Units Maintenance by EENS Criteria. In: 2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2020): Conference Proceedings, Latvia, Riga, 5-6 November, 2020. Piscataway: IEEE, 2020, pp.184-188. ISBN 978-1-7281-9511-7. e-ISBN 978-1-7281-9510-0. Available from: doi:10.1109/RTUCON51174.2020.9316580

Publication language
English (en)