Reliability optimization of wind farms considering redundancy and opportunistic maintenance strategy

被引:63
|
作者
Atashgar, Karim [1 ]
Abdollahzadeh, Hadi [1 ]
机构
[1] Malek Ashtar Univ Technol, Dept Ind Engn, Tehran 158751774, Iran
关键词
Redundancy; Opportunistic maintenance; Wind farm; Three phase simulation; Multi-objective particle swarm optimization algorithm; GENERALIZED RENEWAL PROCESS; LAYOUT OPTIMIZATION; REPAIRABLE SYSTEMS; JOINT REDUNDANCY; MODELS; OPERATION; TURBINES;
D O I
10.1016/j.enconman.2016.01.027
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, a joint redundancy and imperfect block opportunistic maintenance optimization model is formulated. The objective is to determine the wind farm redundancy level and the maintenance strategy which will simultaneously minimize the wind farm loss of load probability and life cycle cost. A new opportunistic maintenance approach is developed to take advantages of the maintenance opportunities. Different reliability thresholds are introduced for imperfect maintenance of failed turbines and working turbines and preventive dispatching of maintenance teams. In addition, a simulation method is developed to evaluate the performance measures of a wind farm system considering different types of wind turbine, maintenance activation delays and durations, and limited number of maintenance teams. Sensitivity analysis is conducted to discuss the influence of the different assumption and parameters of simulation model over the wind farm performance. Pareto optimal solutions are driven based on a multi-objective particle swarm optimization algorithm. Comparative study with the commonly used maintenance policy demonstrates the advantages of the proposed opportunistic maintenance strategy in significantly reducing maintenance cost and loss of load probability. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:445 / 458
页数:14
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