Multidimensional State Assessment And Prediction Of Transmission Lines

Transmission line is an important part of power system,which undertakes the interaction and supply-demand balance between power generation side and electric side.For the comprehensive evaluation of transmission line state,the accurate evaluation of transmission line load capacity can provide important basis for equipment overhaul and intelligent dispatching operation,which provides strong support for the safe,reliable,efficient and economical operation of power grid.The current state evaluation system of transmission line has a fixed weight analysis and evaluation for all state parameters.In order to improve the accuracy and pertinence of the state evaluation of transmission line,this paper uses association rule analysis algorithm to quantify the basic parameters of transmission line,uses the principal component analys is to analyze the dimension of the basic parameter and establishes the key parameter system of transmission line.An example is given to prove that the critical parameter system can improve the efficiency of transmission line state evaluation based on guaranteeing validity and accuracy.According to the characteristics of different geographical and environmental conditions in transmission lines,based on statistical analysis of historical data,integrated transmission line status,time and space three-dimension information,the method of multi-dimensional difference evaluation for transmission lines is established and an example verifies that the difference weight adjustment of state parameter can realize the high pertinence and accuracy of transmission line state evaluation.The load capacity of transmission line is mainly calculated according to the heat steady equilibrium equation of transmission line,which is affected by the equipment's own wire and environmental condition,and the load capacity of transmission line is calculated after predicting the influence parameters.Based on the domestic and international research standards,the paper establishes a steady-state load flow calculation model of transmission line,extracts key influence parameters by means of multivariate regression analysis and emphatically analyzes the key influence parameters,providing support and reference for the load capacity evaluation of transmission line.Using association rules to excavate the correlation between parameters and applying it to wavelet neural network,the prediction accuracy of load capacity of transmission line is greatly improved,which provides a more powerful reference for dispatching operation.