大规模海上风电机组运维调度及路径优化方案OA

To address the complex scheduling and path optimization challenges faced by large-scale and centralized off⁃shore wind farms during their operation and maintenance,a scheme of operation and maintenance scheduling and path optimization for large-scale offshore wind farms is proposed.First,an integer programming model for multiple operation and maintenance bases and multiple wind farms is developed,with an objective of minimizing the total operation and maintenance costs.With the consideration that this model is difficult to solve quickly due to its complexity,the Dantzig-Wolfe decomposition method is employed to decompose the problem into a master problem and a pricing subproblem.Second,the decomposed model is further solved using a column generation algorithm combined with an accelerated la⁃beling algorithm,so as to obtain the optimal solution to the path optimization scheme.Finally,a case study of one off⁃shore wind farm verifies the necessity and feasibility of the proposed method.Results show that compared with the tradi⁃tional optimization methods for operation and maintenance,the proposed approach can significantly reduce the opera⁃tion and maintenance costs and improves the corresponding efficiency,offering a new idea for the optimization of opera⁃tion and maintenance scheduling.