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A branch-and-check approach for a wind turbine maintenance scheduling problem

机译:风机检修计划问题的分支检查方法

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In this paper we deal with a maintenance scheduling problem arising in the onshore wind power industry. We consider a short-term horizon and a multi-skilled workforce. The goal is to schedule maintenance operations to maximize electricity production while taking into account forecast wind-speed values, multiple task execution modes, and daily restrictions on the routes of the technicians. We first introduce two integer linear programming formulations of the problem. Then, building on one of our models, we propose a branch-and-check (B&C) approach that uses both generic Benders cuts and cuts specially crafted for our problem. We report experiments on a 160-instance testbed. For 80% of the instances, our exact approach finds an optimal solution in a reasonable computational time. The remaining instances reach the three-hour time limit, and our B&C gives solutions with average gaps of 1.7% with respect to the upper bounds. The results suggest that our method significantly outperforms commercial solvers running our integer linear programming models. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,我们处理了陆上风力发电行业中出现的维护计划问题。我们考虑短期的目标和多技能的劳动力。目标是安排维护操作以最大程度地发电,同时考虑预测的风速值,多种任务执行模式以及技术人员路线的日常限制。我们首先介绍该问题的两个整数线性规划公式。然后,在我们的模型之一的基础上,我们提出了一种分支检查(B&C)方法,该方法同时使用通用的Benders切割和针对我们的问题专门设计的切割。我们在一个160实例的测试平台上报告了实验。对于80%的实例,我们的精确方法可以在合理的计算时间内找到最佳解决方案。其余实例达到三个小时的时限,我们的B&C给出的解决方案相对于上限的平均差距为1.7%。结果表明,我们的方法明显优于运行我们的整数线性规划模型的商业求解器。 (C)2017 Elsevier Ltd.保留所有权利。

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