Dynamic Coordination and Automated Verification Technology for Maintenance Scheduling in Power Systems Considering Equipment Operational Status
Rattachement africain : bg, cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
With the continuous expansion of power grid scale and accelerated equipment aging-particularly the high penetration of power electronic devices-the grid demonstrates increasingly pronounced dynamic characteristics. Traditional fixed-cycle maintenance methods reveal growing limitations in addressing these dynamics, often leading to the co-existence of “under-maintenance” and “over-maintenance.” Existing research predominantly relies on constant failure rates or simplified timevarying models, which fail to accurately capture the continuous evolution of equipment condition. To address these challenges, this paper proposes a dynamic coordination and automated verification framework for grid maintenance scheduling that incorporates equipment operational status. The methodology first develops a dynamic condition evolution model to accurately assess grid maintenance requirements, then establishes multi-dimensional maintenance correlation rules to achieve coordinated optimization of generation and transmission equipment schedules while avoiding resource conflicts and capacity constraints. Finally, an intelligent safety verification mechanism is introduced to enhance adaptability to dynamic maintenance plans and improve verification efficiency. Case study results demonstrate that the proposed approach offers significant engineering value through enhanced maintenance precision, improved system reliability, and operational efficiency.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Dynamic Coordination and Automated Verification Technology for Maintenance Scheduling in Power Systems Considering Equipment Operational Status
- Date Crossref
- 31/10/2025
- Éditeur
- IEEE
- Type
- proceedings-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Economic Research Institute pays non établi dans la noticeOrganisation à but non lucratif
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State Grid Chongqing Electric Power Company (China) pays non établi dans la noticeEntreprise
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North China Electric Power University pays non établi dans la noticeUniversité ou école supérieure
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China Electric Power Research Institute pays non établi dans la noticeStructure de recherche
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State Grid Chongqing Electric Power Company Economic and Technical Research Institute pays non établi dans la noticeStructure de recherche
Economic Research Institute, State Grid Chongqing Electric Power Company (China) et North China Electric Power University, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.