Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem

Kou, Lei1; Wan, Junhe1; Liu, Hailin1; Ke, Wende2; Li, Hui1; Chen, Jie1; Yu, Zhen1; Yuan, Quande3

2023-09-01

10.1002/cpe.7907

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE   Impact Factor & Quartile

1532-0626

1532-0634

With the rapid expansion of global offshore wind power market, the research on improving the full life cycle income and reducing the construction and operation and maintenance costs has attracted the attention of scholars in the industry. In view of the different aging degree and maintenance cycle of wind turbines, this paper studies the optimized design of patrol path for offshore wind farms based on genetic algorithm (GA) and particle swarm optimization (PSO) with traveling salesman problem (TSP). Firstly, the problem of patrol routing planning in offshore wind farms is described as the traveling salesman problem of shortest route optimization. Secondly, the GA and PSO algorithms are simulated and verified separately, and the patrol path distance is taken as the objective function. Finally, through simulation experiments, the optimized patrol path performances of PSO and GA are compared, which can help to find a shortest route and reduce the operation and maintenance costs.

genetic algorithm particle swarm optimization patrol path smart offshore wind farm traveling salesman problem

SCI

English

Corresponding

Shandong Provincial Natural Science Foundation["ZR2023QF036","ZR2021MD070","ZR2023QE212"] ; Talent Research Project of Qilu University of Technology (Shandong Academy of Sciences)["2023RCKY054","2023RCKY040"] ; Basic Research Projects of Science, Education and Industry Integration Pilot Project ofQilu University of Technology (Shandong Academy of Sciences)["2023PX081","2023PX031"] ; Natural Science Foundation of Qingdao[3-2-1-121-zyyd-jch]

Computer Science

Computer Science, Software Engineering ; Computer Science, Theory & Methods

WOS:001060196400001

WILEY

COMPUTER SCIENCE

Web of Science

1.Shandong Acad Sci, Qilu Univ Technol, Inst Oceanog Instrumentat, Qingdao, Peoples R China
2.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China
3.Changchun Inst Technol, Sch Comp Technol & Engn, Changchun, Peoples R China

Kou, Lei,Wan, Junhe,Liu, Hailin,et al. Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2023.

Kou, Lei.,Wan, Junhe.,Liu, Hailin.,Ke, Wende.,Li, Hui.,...&Yuan, Quande.(2023).Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE.

Kou, Lei,et al."Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2023).