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The Prediction Method Of Galloping Of Iced Transmission Lines Based On FEM And Improved PSO-SVM Algorithm

Posted on:2024-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:J L SongFull Text:PDF
GTID:2542307133459054Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Overhead transmission lines in the uneven ice and random wind action will occur amplitude of about 5 to 300 times the diameter of the line,the frequency of about 0.1 to 3Hz vibration,that is galloping.Compared to the breeze vibration and tail flow induced oscillation,the galloping has a stronger destructive force,often leading to wear and tear of the fixtures,flashing,broken lines and other power accidents,and then cause widespread power outages,the residents and all walks of life have a great impact.In the plains,rivers,lakes,valleys and other windy areas are more likely to meet the meteorological conditions of the galloping,into the winter will become easy to galloping areas,transmission lines to meet the specific meteorological conditions will occur after the galloping,the safety of the power system has a great negative impact.In order to make the power system from the impact of galloping,countries have conducted a lot of research on this.In view of the confidentiality of the galloping data,it is difficult to obtain a large amount of real data for prediction of galloping,so finite element simulation is considered to simulate real galloping and obtain enough data to constitute a data set under as many factors as possible,and then perform prediction of galloping.In this paper,the following aspects of research are carried out on iced quad-bundled conductor.(1)Using GAMBIT software to establish a two-dimensional model of the iced quadbundled conductor,and then imported into CFD software FLUENT for winding simulation,and then to obtain its aerodynamic coefficients,as a basis for the calculation of the aerodynamic loads on the iced quad-bundled conductor,to provide a basis for the galloping simulation.(2)The use of finite element software ANSYS to establish iced quad-bundled conductor three-dimensional model,and the wind speed timescales generated using MATLAB are converted to wind loads and applied to the conductor model,and then use ANSYS software to simulate the dynamic response of iced quad-bundled conductor under the action of the average wind and pulsating wind at different gear distance,wind speed and other states,to provide data support for transmission line ice galloping warning.(3)Based on the data set obtained from the simulation and the improved PSO-SVM algorithm,a iced quad-bundled conductor galloping warning model is constructed,with the span,wind speed,and initial wind angle of attack as the inputs to the model and whether the iced quad-bundled conductor galloping as the output.Meanwhile,to verify the practicality and effectiveness of the prediction model,the prediction results of the improved PSO-SVM model are compared with those of other intelligent algorithms such as BP,SVM,GA-SVM,and PSOSVM models,and the results show that the prediction results of the improved PSO-SVM model are more accurate.Transmission lines are built in the natural environment,and their structural safety and stability are affected by various factors,while China’s topography is variable and the climate is complex,it is easy to galloping events,which have a great negative impact on the safety of the power system and seriously threaten the safety of the national electricity,in this case the research results of this paper have a certain reference significance for the transmission lines to prevent and suppress dancing.
Keywords/Search Tags:Neural Network, SVM, PSO, Galloping of transmission lines
PDF Full Text Request
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