Open AccessVoltage Sag Source Location based on Comprehensive Criterion and Neural Network Method
Author(s) -
Chaozhang Liu,
Jie Zhao,
Wei Wu,
Zeguang Lu,
Zhigang Ren
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/512/1/012131
Subject(s) - voltage sag , voltage , computer science , artificial neural network , control theory (sociology) , engineering , power quality , artificial intelligence , electrical engineering , control (management)
In order to solve the disputes caused by voltage sag, this paper proposes a comprehensive criterion of voltage sag location based on the traditional voltage sag location method. This criterion combines the characteristic information of voltage sag, and trains the neural network with the comprehensive criterion to locate the voltage sag source. Compared with the traditional methods, the simulation results show that the proposed method has higher accuracy and immunity to voltage sags under various faults, especially under asymmetric faults.