Open AccessApplication Research of BP Neural Network Algorithm in Power Line Loss Calculation
Author(s) -
Su Dai,
Yunlong Ma,
Kai Wang,
Bowen Liu,
Changming Liu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2146/1/012008
Subject(s) - line (geometry) , power loss , computer science , power (physics) , artificial neural network , function (biology) , reduction (mathematics) , electric power system , algorithm , reliability engineering , engineering , mathematics , artificial intelligence , physics , geometry , quantum mechanics , evolutionary biology , biology
In recent years, it is still a difficult problem to calculate the line loss of distribution system. The main reason is that China’s power system data is not perfect, the components are huge, the management function does not exist, the network structure is directly connected. Therefore, reducing the loss rate of power system has become an urgent problem for energy companies to solve. Developing effective methods for line loss reduction evidence and line loss assessment requires careful calculation and analysis of line loss, which ultimately contributes to and guides line loss management.