OPTIMIZATION SCHEDULING MODEL AND IMPROVED GENETIC ALGORITHM FOR OFFSHORE WIND TURBINE OPERATION AND MAINTENANCE

Zhou Pengfei; Liu Jun

doi:10.19912/j.0254-0096.tynxb.2024-2328

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (5) : 247-257. DOI: 10.19912/j.0254-0096.tynxb.2024-2328

OPTIMIZATION SCHEDULING MODEL AND IMPROVED GENETIC ALGORITHM FOR OFFSHORE WIND TURBINE OPERATION AND MAINTENANCE

Zhou Pengfei, Liu Jun

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Abstract

To address the intricate challenge of scheduling optimization for maintenance tasks in offshore wind farms, an innovative optimization model for offshore wind turbine O&M scheduling and an enhanced genetic algorithm, termed Optimized Genetic Algorithm （OPGA）, were introduced. This model takes into account the workload and operational efficiency of the maintenance teams, incorporates a strategic approach for task-turbine grouping, and refines the sequence and route of maintenance activities with the aim of reducing maintenance costs and enhancing operational productivity. The model's constraints encompass the maintenance vessel's load capacity and travel distance, the team's working time constraints, among others. In order to augment the accuracy and efficiency of the model, the OPGA algorithm employs non-repeating natural-number encoding to depict the sequence and path of maintenance operations, integratesa branch-and-bound search within the decoding phase, and incorporates a population-catastrophe operator. The experimental results based on an offshore wind farm project show that compared with the traditional genetic algorithm, OPGA can save more than 15% of the operation and maintenance cost and increase the working hour utilization rate by more than 10% when solving largescale problems.

Key words

offshore wind power / maintenance scheduling / genetic algorithms / utilization of working hours / operation and maintenance costs / branch and bound search algorithm / population-catastrophe optimization

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Zhou Pengfei, Liu Jun. OPTIMIZATION SCHEDULING MODEL AND IMPROVED GENETIC ALGORITHM FOR OFFSHORE WIND TURBINE OPERATION AND MAINTENANCE[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 247-257 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2328

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