| In recent years,the reduction of network loss has gradually become the focus of industry research.Line loss rate is an important indicator for evaluating the operation quality of energy supply enterprises,and reducing line loss is a key task that all energy supply enterprises must face.Line loss and line loss rate are two important indicators to comprehensively measure the power transmission capacity of the distribution network.Reducing line loss,on the one hand,can effectively reduce power loss and save resources to a greater extent,on the other hand,it can further enhance and improve the operation and management capabilities of the distribution network.There are many reasons that affect the power loss of the distribution network line.This thesis first introduces the current calculation method of the line loss,and then analyzes the factors that affect the line loss.Taking the selected distribution network line loss in Rushan,Weihai as an example,When calculating the power loss of the distribution network,the grey relational degree method is used to calculate and determine the weight of each influencing factor on the basis of fuzzy theory,and its weight value is determined.When building the model,firstly,the BP neural network was analyzed,and the model was modeled by MATLAB.After repeated training,the measurement model was established,and the test and verification were completed.Finally,the management ideas are put forward in view of the related problems,and the countermeasures and ways to reduce the line loss of the distribution network are proposed from the technical and management perspectives,and provide a reference for the actual management work. |