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.
Highlights
The results show that the opportunistic maintenance strategy is efficient to reduce the maintenance cost
This study considers three Vestas V90-3 MW offshore wind turbines in an offshore wind system that consist of four main components
The result of the proposed maintenance policy for each component in Table 4 indicates that an offshore wind system’s maintenance threshold and the total cost of maintenance is dependent on the scale parameter, the shape parameter of each component, and weather conditions
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. According to Panneerselvam et al [7], the objective of mai Existing maintenance strategies for wind systems consist of three categories: corrective to maximize the life cycle time of a system, minimize the overall operation cos maintenance, preventive maintenance, and condition-based maintenance. The maintenance threshold should be determined based on such practical factors and multiple components of an offshore wind power system should be considered to enhance the efficiency of the maintenance policy. This research aims to propose an optimal maintenance threshold for an offshore wind power system to minimize maintenance cost while increasing system reliability. Various factors such as dynamic weather conditions, cost efficiency, system reliability, power loss during maintenance, maintenance duration, and market electricity price are considered carefully to enhance the reliability of the set-up model.
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