Condition Assessment for Power Transformer Using Health Index

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Wang, Jian^1 ; Wu, Kuihua^2 ; Zhu, Wenbing^1 ; Gu, Chao^1

Shandong Electric Power Research Institute, Jinan

250003, China^1

Shandong Electric Power Economic Research Institute, Jinan

250001, China^2

关键词: Condition assessments;    Condition parameters;    Contribution analysis;    Evaluating models;    Forecasting accuracy;    Inspection and maintenance;    Multivariate statistical analysis;    Product and services;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012046/pdf
DOI  :  10.1088/1757-899X/199/1/012046

来源: IOP

【 摘 要 】

To improve the forecasting accuracy and ensure reliable and stable operation of transformer, based on health index estimation model is proposed. The transformer data is divided into different levels and parts, so multi-parameter statistical analysis is carried on. The indicator system is scored and weighted by computing history data (inspection and maintenance, family defects, basic information and loading history) and condition data (such as routine test data). The condition parameters, which are classified on the component level, are scored and weighted, using statistical tools calculation. By using the statistical tools SPSS (statistical product and service solutions), multivariate statistical analysis was carried out. On the basis of studying the relationship between various parameters, a health evaluation model, which is based on contribution analysis, is presented. A condition-based evaluation tool, that quantifies power transformer degradation and clarifies the relationship between each health index, is put forward. Results are presented to verify the validity and feasibility of evaluating model and assessment algorithm. This paper provides a scientific method for the transmitting and transforming field.