Open AccessResearch and Analysis on The Identification Technology of User Group Network in Distribution Station Area
Author(s) -
Yue Zuo,
Shijie Cui,
Qi Zhang,
Lianyong Zhu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042029
Subject(s) - demodulation , identification (biology) , computer science , line (geometry) , grid , differential (mechanical device) , power (physics) , reliability engineering , service (business) , telecommunications , data mining , electronic engineering , real time computing , engineering , mathematics , economics , biology , channel (broadcasting) , botany , geometry , physics , economy , quantum mechanics , aerospace engineering
Due to frequent line reconstruction in the distribution station area, the lines between adjacent lines in the distribution station area are messy and the paths are illegible, so that it is difficult for power grid companies to obtain accurate line losses and cannot balance the load planning, which is not conducive to the station area. Local refined management and service levels have been improved. In order to solve this problem, many identification technologies for users in distribution network stations have been proposed. However, traditional identification technologies have problems such as low accuracy and poor detection failure. The most important thing is that it is difficult to demodulate and identify signals. In order to solve this problem, this paper uses an improved differential cross-correlation algorithm to demodulate and identify the signal, and the power communication technology that carries information by artificially generating small distortions of the grid voltage and current. The experimental results prove the feasibility of the method proposed in this paper. Sex and effectiveness.