SOM-based Analysis Model of Anti-Stealing Electricity
Konferenz: EMIE 2022 - The 2nd International Conference on Electronic Materials and Information Engineering
15.04.2022 - 17.04.2022 in Hangzhou, China
Tagungsband: EMIE 2022
Seiten: 5Sprache: EnglischTyp: PDF
Autoren:
Dong, Jie; Sha, KaiXuan; Huang, Zun (State Grid Jibei Electric Power Company Limited Smart Distribution Network Center, Qinhuangdao, Hebei, China)
Meng, ZhiRuo (North China Electric Power University, ChangPing, Beijing, China)
Song, LiMing (State Grid Qinhuangdao Electric Power Supply Company, QinHaungDao, Hebei, China)
Inhalt:
With the expansion of the power network, this paper proposes a power theft analysis model based on SOM for the current power theft problem in the power system. The model selects Q value, average line loss rate, standard deviation of line loss rate, line loss change trend, line loss kurtosis, and line loss skewness as model analysis indicators. According to the established model, locating the users of stealing electricity, and accurately carrying out anti-theft management, has provided great help for the line loss management in the power system.