A Phenomenological Approach to Analysis of Maintenance Activities Impact on Interruption Duration in Electricity Distribution Systems, based on Historical Data and Expert Judgment

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-10-10 DOI:10.24200/sci.2023.62894.8090

Nima Salek Gilani, Alireza Fereidunian

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引用次数: 0

Abstract

This study intends to quantify, model and evaluate the impact of preventive maintenance (PM) on interruption duration (IntD) in electricity distribution systems, based on analyzing the data from the dashboard of an electricity distribution company and expert opinions. Following the data cleaning, the data are analyzed to identify the failure modes and their effects, to recognize the critical components (FMEA). Subsequently, the PM activities associated with them are investigated, to analyze the maintenance activities scheduling impact on IntD, employing expert judgment as a decision support. The data analysis reveals that the fuses and fuse holders experience the highest interruptions frequencies and durations, nominating them as critical components. Then, the impact of maintenance activity (inspection time) on the IntD percentage change is analyzed, leading to calculation of the sensitivity of IntD to maintenance activity. The quasi-linear shape of the IntD and ENS percentage decreases versus PM inspection time, i.e. the intended sensitivities is observed, thus two linear models are developed to represent this impact, suitable for maintenance optimization problems which need linear models convexity. Moreover, two indices of SIntDPM and SENSPM are introduced as maintenance KPIs representing the sensitivities, to prioritize PM actions versus their impact on IntD.

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基于历史数据和专家判断的配电系统维修活动对中断时间影响分析的现象学方法

本研究拟在分析某配电公司仪表盘数据及专家意见的基础上，量化、建模及评估配电系统预防性维护(PM)对中断持续时间(IntD)的影响。在数据清理之后，对数据进行分析，以识别故障模式及其影响，以识别关键组件(FMEA)。随后，对与之相关的PM活动进行调查，分析维护活动安排对IntD的影响，采用专家判断作为决策支持。数据分析显示，保险丝和保险丝座经历最高的中断频率和持续时间，将其列为关键部件。然后，分析维修活动(检查时间)对IntD百分比变化的影响，从而计算IntD对维修活动的敏感性。IntD和ENS百分比的准线性形状随PM检测时间而减小，即预期灵敏度被观察到，因此建立了两个线性模型来表示这种影响，适用于需要线性模型凸性的维修优化问题。此外，引入SIntDPM和SENSPM两个指标作为代表敏感性的维护kpi，以优先考虑PM行动及其对IntD的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.