Resource Dispatch Methods of Operation and Maintenance for Offshore Wind Farms Under Multiple Operating Conditions and Task Schedules

doi:10.3969/j.issn.1008-0198.2026.04.001

Abstract

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

CLC Number:

TM614

DONG Bin, FU Yanbo, ZOU Yueming, YANG Shiqi, PAN Qiaobo, LING Jili. Resource Dispatch Methods of Operation and Maintenance for Offshore Wind Farms Under Multiple Operating Conditions and Task Schedules[J]. Hunan Electric Power, 2026, 46(4): 1-8.

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