基于层次灰关联分析的变压器状态评估关键指标体系构建及应用

Key Indicator System Establishment and Application for Transformer Condition Assessment Based on Hierarchy Grey Relation Analysis

针对变压器评估指标体系中指标种类繁多,体系结构复杂的问题,提出了以故障类型为基础的基于层次灰关联分析的状态评估关键指标体系构建方法。首先海选出变压器的故障集和影响故障的初始指标集;然后提出层次灰色关联分析法,利用该方法得到初始指标与故障类型的综合关联度,设计动态指标筛选方法进行关键指标的筛选;最后引入关联规则中的支持度检验筛选后的指标合理性,形成关键指标体系。实验结果表明,应用本文建立的关键指标体系对变压器的评估结果与变压器实际运行情况相符。案例分析证实了该指标体系的准确性,并且具有实际应用价值。

Aiming to solve the problems of various indicators and complex system structure in transformer evaluation system, we proposed the hierarchy grey relation analysis（HGRA） which is based on fault type to establish the key indicator system of transformer. First, the fault set and initial indicator set were selected for the power transformer. Then, the grey relational analysis（GRA） was proposed to get the comprehensive correlation degree（CCD） of inital indicator and fault type, so as to design the dynamic method for screening the key indicator. Finally, the support degree was introduced to check the rationality of the key indicator and the key indicator system was formed. The experimental results indicate that the evaluation results of the application of key indicator system to the transformer is consistent with the actual situation. A case analysis has proved the accuracy and practical application value of the key indicator system.