An Adaptive Large Neighborhood Search Algorithm for Wind Farm Inspection Using a Truck with a Drone

With the increasing demand for energy, wind power as a new energy source has been widely used and developed on a large scale. To extend the life of wind turbines, it is necessary but difficult to carry out regular inspections in wind farms located in remote areas. This paper studied the clustering a...

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Bibliographic Details
Main Authors: Tao, Wenyu, Jiang, Xinjia, Zhao, Dongqiang
Format: Conference Proceeding
Language:English
Subjects:
Adaptive systems
Clustering algorithms
Inspection
Routing
Search problems
Wind farms
Wind power generation
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Summary:With the increasing demand for energy, wind power as a new energy source has been widely used and developed on a large scale. To extend the life of wind turbines, it is necessary but difficult to carry out regular inspections in wind farms located in remote areas. This paper studied the clustering and routing problem of truck-drone joint inspection of wind farms. An Adaptive Large Neighborhood Search (ALNS) algorithm is designed based on the characteristics of this problem. In addition, wind farm instances with different sizes and distributions are generated in this paper to simulate realistic scenes and evaluate ALNS. Finally, real wind farm instances are tested to demonstrate the inspection time in detail. Computational experiments show ALNS can improve significantly inspection time compared with another method.
ISSN:1558-4305
DOI:10.1109/WSC57314.2022.10015320