基于粗糙集-G1法组合赋权的变压器健康状态评估

针对电力变压器健康指数模型构建过程中指标体系不完善,指标权重确定方法单一性及片面性,文章提出一种基于粗糙集-G1(序关系分析法)优化组合的变压器健康状态评估方法。通过集合变压器老化情况、电气试验、油色谱试验、油质试验、糠醛试验以及附件情况构建变压器健康状态综合指标体系模型,采用粗糙集得到客观权重、G1法求得主观权重,利用客观修正主观的优化组合方式给各指标科学赋权,最后通过整体电力变压器健康指数模型计算出7台不同电压等级变压器的健康指数来评估其健康状态,与传统指标体系和权重方法对比,验证了文中所提指标体系更符合评估实际,指标权重更合理,提高了变压器健康状态评估的准确性和可靠性。

Transformer Health Status Evaluation Based on Rough Set G1 Combined Weighting

In view of the imperfection of the index system and singleness and one sidedness of the index weight determination method in the construction of the power transformer health index model, a transformer health status evaluation method based on the optimal combination of rough set-G1 (order relationship analysis method) is proposed in this paper. The comprehensive index system model of transformer health status is established by integrating transformer aging, electrical test, oil color spectrum test, oil quality test, furfural test and accessories. The objective weight is obtained by rough set and the subjective weight is obtained by G1 method. The objective and subjective optimal combination method is used to scientifically weight each index. Finally, through the overall health index model of power transformer, the health indices of 7 transformers with different voltage levels are calculated to evaluate their health status. Compared with the traditional index system and weight method, it is verified that the index system proposed in this paper is more in line with the evaluation practice, the index weight is more reasonable, and the accuracy and reliability of transformer health status evaluation are improved.