中国电机工程学报2017，Vol.37Issue(7)：1993-2000,8.DOI:10.13334/j.0258-8013.pcsee.160542
海上风电机群维修排程在线多目标决策模型
On-line Multi-objective Decision Model for the Maintenance Scheduling of Offshore Wind Turbine Group
摘要
Abstract
Based on the discussion of the offshore wind turbine characters different than thermal power generator, the framework and decision process of maintenance decision system for wind turbine was introduced, the maintenance operation flow and total maintenance cost of wind turbine was analyzed. On purpose of enhancing the maintenance efficiency and reducing the generation cost of offshore wind turbine group, an on-line multi-objective decision model for the daily maintenance scheduling of offshore wind turbine group was proposed in this paper,which minimizes the total maintenance cost and the workload balance with the constraints of budgets and human resources. The Kruskal spatial analysis algorithm of Geographic Information System (GIS) was applied to find the minimum spanning tree of return path of each maintenance operations combination. The Binary Particle Swarm Optimization (BPSO) was employed to solve the model, and obtains all non-dominated solution set of maintenance turbines combination and their exacted maintenance time. The simulation result shows the feasibility of the proposed model, and the effectiveness of the algorithm is verified.关键词
风力发电机群/维修作业排程/多目标决策/离散粒子群算法Key words
wind turbine group/maintenance operation scheduling/multi-objective decision model/Binary Particle Swarm Optimization分类
信息技术与安全科学引用本文复制引用
郭慧东,王玮,夏明超..海上风电机群维修排程在线多目标决策模型[J].中国电机工程学报,2017,37(7):1993-2000,8.基金项目
国家自然科学基金项目(51477006). Project Supported by National Natural Science Foundation of China (51477006). （51477006）
