Abstract：In this paper, matter element extension model is used to evaluate the insulation aging of power transformer. Firstly, the measured data of oil paper insulation transformer is used to extract the time-domain characteristics, and the fuzzy clustering algorithm is used to calculate the clustering center point to classify the aging insulation status of the equipment. At the same time, standardization is adopted to solve the problem that the upper limit of interval classification is uncertain, and the weight value of each index is determined by combining subjective and objective weighting method. Matter element extension model is used to evaluate the aging degree of oil paper insulation transformer. Through the actual measured data and operation status of the transformer, it is proved that the method can correctly evaluate the oil paper insulation state of a transformer.
傅泽坤, 刘庆珍. 基于物元可拓模型的电力变压器绝缘老化研究[J]. 电气技术, 2021, 22(5): 32-37.
FU Zekun, LIU Qingzhen. Research on aging insulation of power transformer based on matter element extension model. Electrical Engineering, 2021, 22(5): 32-37.
2021, Vol. 22 
