Research on the Probability Prediction of Transmission Line Breakage by Galloping Based on Improved Particle Swarm Optimization Algo-rithm
[Purposes]In order to solve the problem of transmission line breakage by galloping under ice storm,a probability prediction model of transmission line breaking based on improved particle swarm op-timization(PSO)algorithm is proposed.[Methods]Firstly,the generalized extreme value(GEV)distribu-tion parameters of wind load and ice load of transmission lines under ice storm disasters are determined by improved PSO algorithm;then,according to the wind speed and icing density of the transmission line galloping,the extreme value distribution of the ice load and wind load of the line under galloping is ob-tained.[Findings]Based on the binary t-Copula function,the joint probability distribution of ice load and wind load is obtained,and the probability prediction of transmission line breakage by galloping is re-alized.[Conclusions]Finally,using actual historical data of transmission line breakage by galloping in winter of Hunan Province,the superiority of the improved PSO algorithm and the accuracy of the pro-posed prediction model are verified,which can lay a foundation for transmission line breakage by gallop-ing prediction and provide a basis for pre-deployment of anti-galloping measures.
transmission line gallopingimproved particle swarm optimization(PSO)algorithmt-Copula functiongeneralized extreme value(GEV)distributionline breakage probability
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