Calculation Of Distribution Network Line Loss Based On BP Neural Network

Line loss and line loss rate are one of the main standards that reflect the operation of the distribution system.Reducing the line loss of the distribution system is very important for the effective use of power and the economic operation of the distribution system.In order to better discover effective reduction methods,and lay the foundation for scientifically formulating line shrinkage goals.The following studies were carried out when calculating the line loss and the line loss of the distribution system:First,this article analyzes the current theoretical methods for calculating line loss in detail,and compares the advantages and disadvantages of various methods for calculating line loss.Secondly,for the power distribution system,the degree of automation is low,the distribution of components is complex and the number of components is large,and it has a large amount of data,so it is difficult to collect raw data.This paper proposes a method for calculating the loss of the distribution system from the nervous system based on the BP neural network.This method uses the super-matching characteristics of the network to map the complex nonlinear relationship between the line loss and the characteristic variable,and stores the The evolution of line loss changes due to changes in structural variables and operating variables.Finally,based on the simulation results of the line data,compared with the previous algorithms,the method proposed in this paper has the advantages of fast learning speed,simple network model and high calculation accuracy.Based on the analysis of the theoretical method,management method and various reduction measures of power loss calculation,this paper also analyzes the current status of line loss analysis and calculation and existing problems,and from the line loss calculation and theoretical line loss calculation methods Data collection.In addition to measures to reduce damage and other aspects,a more comprehensive analysis and investigation were carried out,especially measures to reduce damage,and many valuable suggestions were put forward from both technical and management aspects.