REN Wei, XU Zili, SONG Xiaolin, et al. On-site Monitoring and Evaluation Method of Operation Characteristics of MV Distribution Digital Metering System Based on Data Mining Technique[J]. High voltageapparatus, 2020, 56(8): 183-191.
REN Wei, XU Zili, SONG Xiaolin, et al. On-site Monitoring and Evaluation Method of Operation Characteristics of MV Distribution Digital Metering System Based on Data Mining Technique[J]. High voltageapparatus, 2020, 56(8): 183-191. DOI: 10.13296/j.1001-1609.hva.2020.08.028.
On-site Monitoring and Evaluation Method of Operation Characteristics of MV Distribution Digital Metering System Based on Data Mining Technique
In order to improve the stability and reliability of the electronic instrument transformers(EITs)in energytrade
it is necessary to accurately assess the calculating characteristics of the EITs in operation of electric power sys-tem. However
the MV digital metering system in the electric power system has some problems
such as high failurerate and difficult fault location. In this paper
a new scheme based on on-site monitoring and data mining technique isproposed
in which the Rajda criteria and decision tree algorithm are used to delete the outline value and reduce thefeature dimension in order to evaluate main sources of error. Using this new data mining technique
the operation dataof two types of digital metering systems in the pilot distribution network are monitored and analyzed
and the resultsverify the effectiveness of the scheme. The advantages and disadvantages of the two digital metering systems aresummed up through analyzing the error of active power in one year. This research may provide reference for future ap-plication of digital metering system.