Research On The Method Of Intelligent Transformer Running State Awareness

Isn’t all digital monitoring means used in the traditional transformer condition assessment process, which the oil level gauge, thermometer and other equipment used is simulation method, a very good description of the transformer operation details did not. Intelligent transformer in the structure and the traditional transformer and not much difference, but based on increased more intelligent component and sensor model, measuring equipment, can be through digital means of monitoring the intelligent operation of transformer in the indicators of accuracy higher, and monitoring the data volume reached the scale of mass data. However, the traditional some intelligent transformer situation awareness method for face massive monitoring data environment has some limitations, this paper takes into account the above-mentioned problems, to intelligent transformer on-line monitoring data as the research object, study of intelligent transformer operation situation awareness method, main volume including the following aspects:(1) classification method based on online monitoring index of intelligent transformer. This paper presents a MMR algorithm based on the Hadoop platform for intelligent transformer online monitoring indicators through the impact of the relationship between the classification of the relationship.(2) the establishment of intelligent transformer operation situation awareness index system. Will the classification results as the basis for data to establish intelligent transformer running posture sensing preliminary index system, in order to eliminate the initial construction of index system of repetition, redundancy index. In the paper, the rough set theory constructs a preliminary index system were optimized.(3) Research on the sensing method of the operation situation of intelligent transformer The for intelligent transformer online monitoring index units are not unified, the difficulty of qualitative and quantitative indicators can not be comprehensive treatment by the least squares method combined with level fuzzy analysis Index System and method of calculation of information entropy level index weight, with feature value method G1 index system and method of calculationthe secondary index weight and get the final transformer intelligent operation situation awareness model.Combined with examples, compares the results of the situational awareness and practical intelligent transformer running state, in agreement with the results of both. At the same time, compared to other methods, the method in this paper, can know the method presented in this paper not only in situational awareness results with higher accuracy and reflects the operation details is relatively close to the actual state.Through the practical intelligent transformer operation situation perception index system and situation awareness method can scientific and effective of intelligent transformer operation were evaluated so as to comprehensively understand the overall situation of the intelligent operation of the transformer; and from the data of reaction transport details the status line, convenient maintenance personnel in a timely manner to find the fault reason, timely maintenance; in addition to management decision-making provide data support to ensure the safe operation of building a smart grid and intelligent substation.