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RESEARCH PAPER
Reliability-oriented twin model for integrating offshore wind farm maintenance activities
 
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Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Poland
 
These authors had equal contribution to this work
 
 
Submission date: 2024-08-18
 
 
Final revision date: 2024-10-06
 
 
Acceptance date: 2024-12-19
 
 
Online publication date: 2024-12-27
 
 
Publication date: 2024-12-27
 
 
Corresponding author
Yorlandys Salgado Duarte   

Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, Poland
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(3):199355
 
HIGHLIGHTS
  • Optimizes a probabilistic indicator.
  • Probabilistic-focused twin model that addresses uncertainties and enumeration.
  • Demonstrates feasible heuristic optimization algorithms
KEYWORDS
TOPICS
ABSTRACT
In the context of Power Systems, scheduling maintenance activities is a recognized Non-deterministic Polynomial-time (NP) hard optimization problem. This complexity stems from the dynamic nature of Power Systems and the varied conditions and anomalies within them. When wind energy is integrated into the system through the presence of offshore wind farms and is composed of a large volume of small units, the challenges become even more remarkable due to the uncertainties introduced by wind variability and the need to coordinate a high volume of maintenance activities for all small individual units with precise manner. This paper tackles this complex optimization issue using a probabilistic-focused twin model that addresses uncertainties and enumeration with scenario analysis based on simulations. The proposed solution quantifies and optimizes a probabilistic indicator and demonstrates feasible heuristic optimization algorithms that balance computation time and accuracy, delivering reliable performance within the given scenario.
ACKNOWLEDGEMENTS
The work has been financially supported by the Polish Ministry of Science and Higher Education
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CITATIONS (1):
1.
Maintenance Activities Coordination for Offshore Wind Farms Integrating Multivariate Stochastic Models
Yorlandys Salgado Duarte, Janusz Szpytko
TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
 
eISSN:2956-3860
ISSN:1507-2711
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