
高速公路微电网作为交通与能源深度融合的重要领域,准确的电气设备状态评估及制定合理的检修计划,对高速公路微电网可靠运行至关重要。首先,综合考虑天气以及检修效果对设备故障率的影响,加入双重动态调节因子建立设备比例故障模型,再用设备时变故障率结合蒙特卡洛法确定各设备检修门槛值,并根据检修门槛值设置机会检修区间判定关联集中能实施机会检修的设备;其次,结合设备劣化情况和检修费用,通过费效比确定设备的检修方式;然后,进一步建立遗传算法优化模型,将突发性故障融入检修计划中,制定全年所有设备可动态调整的经济性最佳的检修计划;最后,通过算例分析表明,所提方法可有效提高高速公路微电网电气设备运行效率,且能合理利用检修资源实现经济最优。
As an important field of deep integration of transportation and energy
accurate condition assessment of electrical equipment and the formulation of reasonable maintenance plans are crucial for the reliable operation of expressway microgrids. Firstly
comprehensively considering the influence of weather and maintenance effect on the equipment failure rate
we incorporate dual dynamic adjustment factors to establish a proportional failure model for the equipment. Then
using the equipment time-varying failure rate in conjunction with Monte Carlo method
we determine the maintenance threshold for each equipment. Based on this threshold
we set an opportunity maintenance interval to identify the equipment in the concentrated area that can undergo opportunity maintenance. Secondly
combined with the deterioration of the equipment and the maintenance cost
we determine the maintenance method for the equipment based on a cost-effectiveness ratio. Then
we further develop a genetic algorithm optimization model
integrating sudden fault into the maintenance plan
to formulate the most economical maintenance plan that can be dynamically adjusted for all equipment throughout the year. Finally
the analysis of the example shows that the proposed method can effectively enhance the operational efficiency of the electrical equipment in highway microgrid and can reasonably use the maintenance resources to achieve economic optimization.
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