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首页> 外文期刊>Smart Grid, IEEE Transactions on >Critical Components for Maintenance Outage Scheduling Considering Weather Conditions and Common Mode Outages in Reconfigurable Distribution Systems
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Critical Components for Maintenance Outage Scheduling Considering Weather Conditions and Common Mode Outages in Reconfigurable Distribution Systems

机译：可重构配电系统中考虑天气条件和共模故障的维修停工计划的关键组件

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摘要

This paper proposes a model for identifying critical components that affect the maintenance outage scheduling in reconfigurable distribution systems. The model considers critical factors such as prevailing severe weather conditions and component aging conditions, common mode outages, and repair rates in distribution systems. The effects of critical factors on forced outage rates of distribution system components are quantified by the proportional hazard model. A recursive sampling method is proposed to generate Monte Carlo scenarios with the given forced outage rate. In each scenario, the distribution system reconfiguration is optimized efficiently using a standard mixed-integer second-order cone program. Then absolute and relative criticality indices are calculated to describe the criticality of components. A new scenario is generated subsequently and the process is continued in the following iteration until the convergence condition is satisfied. The overall convergence of multiple scenarios is quantified by the coefficient of variation of criticality index. The final absolute and relative criticality indices are the average over multiple scenarios. The influence of component aging condition and forced outage characteristics, weather condition, and the system reconfiguration on component criticality for the maintenance outage scheduling is distinguished and exhibited in case studies. The case studies illustrate the effectiveness of proposed model and the solution method for identifying the critical components.
机译：本文提出了一种用于识别影响可重构配电系统中维护停机计划的关键组件的模型。该模型考虑了一些关键因素，例如普遍的恶劣天气条件和组件老化条件，共模故障以及配电系统的维修率。通过比例风险模型可以量化关键因素对配电系统组件强制停机率的影响。提出了一种递归采样方法来生成具有给定强制中断率的蒙特卡洛方案。在每种情况下，都使用标准的混合整数二阶锥程序有效地优化了配电系统的重新配置。然后计算绝对和相对临界指数以描述组件的临界度。随后生成一个新方案，并在后续迭代中继续该过程，直到满足收敛条件为止。多个方案的总体收敛性通过关键性指标的变异系数来量化。最终的绝对和相对危险度指标是多个方案的平均值。在案例研究中，区分并展示了组件老化条件和强制停运特性，天气状况以及系统重新配置对维护停工计划中组件关键性的影响。案例研究说明了所提出模型的有效性以及用于识别关键组件的解决方法。

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