影响因子：6.3
DOI码：10.1016/j.oceaneng.2024.118306
所属单位：哈尔滨工程大学船舶工程学院
发表刊物：Ocean Engineering
刊物所在地：英国
关键字：Offshore wind farm; Operation and maintenance scheduling; Harris hawks optimization; Chaotic mapping; Quantum computing
摘要：Optimizing the operation and maintenance (O&M) schedule of offshore wind farms is an effective approach to controlling O&M costs. This paper takes the perspective of appropriately increasing O&M costs to enhance environmental protection around the wind farm and improve the safety of the O&M process. Firstly, the minimization of total O&M cost, carbon emissions from O&M vessels, and the standard deviation of vessel sailing duration are set as optimization objectives. Constraints are determined, including vessel flow conservation, O&M personnel and spare parts, O&M time, external factors, and decision variable types. A new O&M scheduling model for offshore wind farms, namely the CCB-O&MS model, is constructed. A new algorithm, called the chaotic quantum Harris hawks optimization (CQMHHO), is also proposed. Additionally, the CCB-O&MS model's encoding rules (CRD) are designed, a feasible integerization algorithm (FIA) is developed, and a method for determining the number of wind turbines to be accessed (M-DNTA) is formulated. Consequently, a new optimization method for offshore wind farm O&M scheduling, namely CQMHHO-CCB-O&MS, has been established. Subsequently, the feasibility and superiority of the proposed scheduling model is tested using data from offshore wind farms in southern China. Experiment results demonstrate that, compared to other alternative models, the proposed model can achieve a comprehensive optimal scheduling plan. The improved algorithm is more effective than other benchmark algorithms in solving the CCB-O&MS model.
合写作者：雷益璋,杨忠仪,Hsin-Pou Huang
第一作者：李明伟
论文类型：期刊论文
通讯作者：洪维强
论文编号：118306
学科门类：工学
文献类型：J
卷号：308
ISSN号：0029-8018
是否译文：否
发表时间：2024-01-01
收录刊物：SCI
发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0029801824016445?via%3Dihub