裴玉龙,孙琦
PEI Yulong,SUN Qi

• 1:国网电力科学研究院/南京南瑞集团公司
• 2:国网浙江省电力公司湖州供电公司

摘要(Abstract)：

研究了基于关键评价指标体系(Key Performance Indicator,KPI)对变压器运行状态进行模糊综合评价的多层次评估方法。提出了运用KPI方法构建电力变压器关键评价指标体系,确定变压器的状态指标和评估等级;引入AHP集对分析法的变压器多层次评估策略,通过相对劣化度来表征变压器实际状态向故障状态转化的相对劣化程度,构建隶属度和相对劣化度函数来描述变压器运行状态的不确定性;构建综合评判矩阵,结合评判指标权重,评估变压器的各层评判因素,并量化变压器的评估结果,综合得出变压器的运行状态。经实例分析表明,基于KPI考核指标的电力变压器多层次状态评估方法可有效、准确地评估变压器的运行状态。
The multi-level state fuzzy evaluation method of power transformer working station is proposed based on KPI(Key Performance Indicator). Firstly, the paper proposes to build key evaluation indicator for power transformer with KPI to ascertain the transformer status indicators and assessment level; secondly, it introduces transformer multi-level evaluation strategy of transformer based on AHP set pair analysis and show the relative deterioration of transformer from actual status to fault status of power transformer through relative inferiority degree; thirdly, the paper constructs degree of membership function and relative inferiority degree function to describe the operation condition uncertainty of transformer; Finally, the paper builds a comprehensive evaluation matrix and by combining the evaluation index weight assesses multi-level evaluation factors of transformer and quantizes the transformer evaluation results to comprehensively conclude transformer working condition. The case analysis shows that the multi-level state evaluation method of power transformer based on the KPI can effectively and accurately evaluate the working state of power transformer.

关键词(KeyWords)： 电力变压器;KPI;相对劣化度;隶属度;模糊综合评判
power transformer;KPI;relative inferiority degree;membership degree;synthetic fuzzy evaluation

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 裴玉龙,孙琦
PEI Yulong,SUN Qi

DOI: 10.19585/j.zjdl.2016.06.001

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