关键词: 运维资源调度, FCM, 最优化路径, 风电机群

Abstract: Traditional operation and maintenance(O&M) resource scheduling strategies for offshore wind turbine clusters are inefficient, and restricted by harsh environmental and meteorological conditions. The tight O&M working time further intensifies the O&M pressure. Aiming at the above O&M difficulties, this paper proposes a cooperative path optimization model for mother-daughter ships in offshore wind turbine cluster O&M. Firstly, the principle and implementation method of the fuzzy C-means clustering method(FCM) are analyzed and introduced. Then, according to the actual layout characteristics of the offshore wind turbine cluster, the wind turbines requiring maintenance are divided into k groups based on FCM. Finally, taking k dynamic O&M centers as key input nodes, a multi-objective mathematical model is constructed with the core objectives of minimizing the total O&M cost, shortening the O&M time, and minimizing the power generation loss of wind turbines. The model elaborately considers complex constraints such as the cooperative paths of O&M mother ships and daughter ships, the load capacity and personnel limits of ships, the limited daily operation time window, and the penalty cost for delayed O&M. The simulation results show that when the number of O&M centers is 3, the total O&M cost is the lowest, which is 5.8% lower than the path planning scheme with 2 O&M centers, and 9.8% lower than the scheme with 4 O&M centers. This research provides theoretical support for offshore wind power O&M path planning, and has important reference value for improving O&M efficiency and reducing O&M costs.

Key words: operation and maintenace resource dispatch, FCM, optimal routing, wind turbine cluster