基于天气相关等效年龄模型的风力发电机维修优化

Q4 Energy
Ali Aldubaisi, J. Valenzuela
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引用次数: 1

摘要

老化模型是风电场维护和财务可行性模型的重要输入。风力涡轮机的老化取决于许多因素,包括环境和使用条件。考虑风速和环境温度对风力机老化的影响,提出了一种基于虚拟机龄的风力机维护模型。两个维护阈值(即纠正阈值和预防阈值)和三个修复动作(即计划外纠正、计划纠正和预防动作)集成到维护模型中。目标是确定使预期总维护成本最小化的最佳阈值。开发了一个离散时间模拟模型,为单个陆上风力涡轮机提供了20年的天气和使用情景。将优化模型表述为一个混合整数非线性问题,并采用Nelder-Mead方法求解。最后给出了一个数值例子来说明该方法的优点。与传统的基于年龄的维修方法相比,该方法在可用性和成本上都有提高。结果表明,该方法可使维修成本降低50%以上,并且风速和环境温度对维修计划的影响具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maintenance Optimization of Wind Turbines Using Weather-Dependent Equivalent Age Model
Aging models are important input into wind farm maintenance and financial viability models. Aging of wind turbines depends on many factors, including both ambient and usage conditions. This paper presents a virtual age based maintenance model for wind turbines considering the effect of wind speed and ambient air temperature on turbine aging. Two maintenance thresholds (i.e., corrective threshold and preventive threshold) and three repair actions (i.e., unscheduled corrective, scheduled corrective and preventive actions) are integrated into the maintenance model. The objective is to determine the optimal thresholds values that minimize the expected total maintenance costs. A discreet time simulation model is developed to produce 20 years of weather and usage scenarios for a single onshore wind turbine. The optimization model is formulated as a mixed-integer nonlinear problem and solved using the Nelder–Mead method. A numerical example is presented to highlight the benefits of the proposed approach. Compared with traditional age-based maintenance, the proposed approach can achieve improvement in both availability and costs. The results show up to 50% reduction in maintenance cost as well as the significance of the effects of wind speed and ambient air temperature in maintenance planning.
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来源期刊
Journal of Nuclear Energy Science and Power Generation Technology
Journal of Nuclear Energy Science and Power Generation Technology Energy-Energy Engineering and Power Technology
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