Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/9390545 |
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| author | Andrés Cacereño David Greiner Andrés Zuñiga Blas J. Galván |
| author_facet | Andrés Cacereño David Greiner Andrés Zuñiga Blas J. Galván |
| author_sort | Andrés Cacereño |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b64a5168eb794b4395134dac878faa4d |
| institution | DOAJ |
| issn | 2314-4912 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-b64a5168eb794b4395134dac878faa4d2025-08-20T03:20:55ZengWileyJournal of Engineering2314-49122024-01-01202410.1155/2024/9390545Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach ExplorationAndrés Cacereño0David Greiner1Andrés Zuñiga2Blas J. Galván3University Institute of Intelligent Systems and Numerical Applications in Engineering (SIANI)University Institute of Intelligent Systems and Numerical Applications in Engineering (SIANI)Institute of Mechanical Engineering (IDMEC)University Institute of Intelligent Systems and Numerical Applications in Engineering (SIANI)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.http://dx.doi.org/10.1155/2024/9390545 |
| spellingShingle | Andrés Cacereño David Greiner Andrés Zuñiga Blas J. Galván Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration Journal of Engineering |
| title | Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration |
| title_full | Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration |
| title_fullStr | Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration |
| title_full_unstemmed | Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration |
| title_short | Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration |
| title_sort | design and maintenance optimisation of substation automation systems a multiobjectivisation approach exploration |
| url | http://dx.doi.org/10.1155/2024/9390545 |
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