Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 124, Issue -, Pages 643-663Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2019.02.012
Keywords
Offshore wind energy; Preventive maintenance scheduling; Fuzzy chance-constrained programming; Fuzzy multi-objective programming; Reliability; Maintenance cost
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Funding
- Recruitment Program of High-end Foreign Experts [GDW20163100009]
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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. (C) 2019 Elsevier Ltd. All rights reserved.
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