Abstract
Optimization of maintenance scheme for offshore wind turbines is significant to reduce the maintenance cost and power loss. The novel strategy time window is first proposed for offshore wind turbines maintenance based on the preventive reliability and opportunistic reliability optimized for components. Then, the optimization model is provided for offshore wind turbines maintenance under the multiple constraints of the strategy time window, weather time window and maintenance urgency computed according to Jensen wake model. Meanwhile, the hybrid ant colony algorithm with discrete symbiosis organisms search algorithm (ACODSOS) is improved to search the optimal or near-optimal maintenance scheme. Finally, the experiments are carried out to testify the model and algorithm. The results demonstrate that the model is helpful to obtain the valuable maintenance schemes which save more cost than the models without time windows. Meanwhile, ACODSOS always performs better than ACO for finding the better maintenance schemes.
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