Back to Search
Start Over
Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration.
- Source :
- Journal of Engineering (2314-4912); 1/6/2024, p1-19, 19p
- Publication Year :
- 2024
-
Abstract
- Substation automation systems (SAS) are critical infrastructures whose design and maintenance must be optimised to guarantee a suitable performance. In order to provide a collection of solutions that balance availability and cost, this paper explores the optimisation of the design and maintenance of a section of SAS. Multiobjective evolutionary algorithms are combined with discrete event simulation while the performance of two state-of-the-art multiobjective evolutionary algorithms is studied. On the one hand, the nondominated sorting genetic algorithm II (NSGA-II), and on the other hand, the S-metric selection evolutionary multiobjective optimisation algorithm (SMS-EMOA). Such a problem is solved from 2 and 3-objective approaches by attending to the multiobjectivisation concept. The robustness of the methodology is brought to light, and benefits were observed from the multiobjectivisation approach. Decision-makers can employ this knowledge to make informed decisions based on economic and reliability criteria. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 23144904
- Database :
- Complementary Index
- Journal :
- Journal of Engineering (2314-4912)
- Publication Type :
- Academic Journal
- Accession number :
- 174710198
- Full Text :
- https://doi.org/10.1155/2024/9390545