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基于赋权与加权秩和比的变电设备状态评价 被引量:2

Status Evaluation of Substation Equipment Based on Weighting and Weighted Rank Sum Ratio
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摘要 随着变电站设备智能化和自动化的快速发展,变电设备的多样性和繁杂性呈现出日益增加的趋势。这给基层人员开展设备状态分析带来了巨大的压力。传统设备评价的方式多为根据设备的运行时间及故障情况,结合工作经验进行评价分析,评价结果存在主观性。为了对设备的运行状态做出精准的评估,我们提出一种基于赋权与加权秩和比的设备状态评估方法。首先,针对设备运行中的大量参数数据进行选择,构建评估指标体系;接着,采取熵权法确定各指标的权重系数。然后,通过引入秩和比与权重相结合,构成加权秩和比。最后,实现对变电设备运行状态的综合评估。通过对实际运行的设备进行验证分析,并对结果进行一致性校验,本文提出的设备状态分析方法得到了验证,证明其具有合理性和可行性。这一方法对于加强设备的科学、精准评估具有一定的推广应用价值。 With the rapid development of intelligent and automated substation equipment,the diversity and complexity of substation devices are increasing.This presents significant challenges for grassroots personnel in conducting equipment condition analysis.Traditional equipment evaluation methods often rely on equipment operating time,fault conditions,and work experience,leading to subjective assessment results.To achieve accurate equipment condition assessment,we propose a weighted and ranked sum ratio-based equipment state assessment method.Firstly,a set of evaluation indicators is constructed by selecting relevant parameters from the abundant data generated during equipment operation.Then,the entropy weight method is used to determine the weight coefficients of each indicator.Next,the weighted and ranked sum ratio is calculated by combining the ranks of indicators with their corresponding weights.Finally,a comprehensive assessment of the substation equipments operating state is achieved.The proposed method is validated through analysis of actual operating equipment,and the results are verified for consistency.The effectiveness and feasibility of the equipment condition analysis method are demonstrated,showing its potential value in promoting scientific and accurate equipment assessment.
作者 马洪斌 郝琨 齐洁莹 连政 刘祥 李苑红 申丹 MA Hongbin;HAOKun;QI Jieying;LIAN Zheng;LIU Xiang;LI Yuanhong;SHEN Dan(State Grid Zaozhuang Power Supply Company,Zaozhuang 277000,Shandong,China)
出处 《电力大数据》 2023年第5期53-61,共9页 Power Systems and Big Data
关键词 变电设备 状态评价 权重 熵权法 秩和比 substation equipment status assessment weight analytic hierarchy process rank sum ratio 61
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