Optimal Maintenance Policy for Offshore Wind Systems

Vincent F. Yu, Thi Huynh Anh Le, Tai-Sheng Su and Shih-Wei Lin
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Vincent F. Yu: Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Thi Huynh Anh Le: Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Tai-Sheng Su: Department of Industrial Management, National Pingtung University of Science and Technology, Pingtung 912, Taiwan
Shih-Wei Lin: Department of Information Management, Chang Gung University, Taoyuan 333, Taiwan

Energies, 2021, vol. 14, issue 19, 1-19

Abstract: Employing maintenance threshold plays a critical step in determining an optimal maintenance policy for an offshore wind system to reduce maintenance costs while increasing system reliability. Considering the limited works on this topic, we propose a two-stage procedure to determine the optimal maintenance thresholds for multiple components of an offshore wind power system in order to minimize maintenance costs while achieving the highest possible system reliability. First, using genetic algorithms, a dynamic strategy is developed to determine the maintenance thresholds of individual components where the cost of maintenance and the rate of failure are critical. Then, fuzzy multi-objective programming is applied to find the system’s optimal maintenance threshold considering all components. A variety of factors including weather conditions, system reliability, power generation losses, and electricity market price are carefully considered to enhance the system’s reliability and reduce the costs of maintenance. When maintenance threshold results are compared, component-wise versus system-wise, an average system savings of 1.19% for maintenance cost is obtained while the system reliability is increased by 1.62% on average.

Keywords: offshore wind system; fuzzy multi-objective programming; failure rate; maintenance threshold; optimal maintenance policy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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