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A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms

Accepted version
Peer-reviewed

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Authors

Pantelous, Athanasios A 
Goh, Mark 
Zhou, Jian 

Abstract

We study the preventive maintenance scheduling problem of wind farms in the offshore wind energy sector which operates under uncertainty due to the state of the ocean and market demand. We formulate a fuzzy multi-objective non-linear chance-constrained programming model with newly-defined reliability and cost criteria and constraints to obtain satisfying schedules for wind turbine maintenance. To solve the optimization model, a 2-phase solution framework integrating the operational law for fuzzy arithmetic and the non-dominated sorting genetic algorithm II for multi-objective programming is developed. Pareto-optimal solutions of the schedules are obtained to form the trade-offs between the reliability maximization and cost minimization objectives. A numerical example is illustrated to validate the model.

Description

Keywords

Offshore wind energy, Preventive maintenance scheduling, Fuzzy chance-constrained programming, Fuzzy multi-objective programming, Reliability, Maintenance cost

Journal Title

Mechanical Systems and Signal Processing

Conference Name

Journal ISSN

0888-3270
1096-1216

Volume Title

124

Publisher

Elsevier BV