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基于蚁群算法的超高压输电线路雷电灾害后故障测距仿真分析

Simulation Analysis of Fault Location after Lightning Disaster of EHV Transmission Lines Based on Improved Ant Colony Algorithm
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摘要 采用当前方法在雷电灾害后对超高压输电线路进行故障测距时,故障测距花费的时间较长,得到的故障测距结果相对误差大,存在故障测距效率低和精准度低的问题。提出基于蚁群算法的超高压输电线路雷电灾害后故障测距方法,在故障测距之前对输电线路的直击雷和感应雷的特点进行分析,为超高压输电线路雷电灾害后故障测距提供信息。将超高压输电线路雷电灾后故障测距问题转变为利用寻求测距方程的最优解问题,并利用蚁群算法对测距方程进行求解,达到最大迭代次数时输出最优解,实现超高压输电线路雷电灾害后的故障测距。实验结果表明,所提方法的测距效率高、测距精准度高。 When the fault location of the EHV transmission line is detected after the lightning disaster by the current method,the fault ranging takes a long time,and the obtained fault ranging result has a large relative error,and the fault ranging efficiency is low and the accuracy is low.Based on the improved ant colony algorithm,the fault location method after lightning disasters on EHV transmission lines is proposed.The characteristics of direct lightning strikes and induced lightning of transmission lines are analyzed before fault location,which is the fault location after lightning disasters on EHV transmission lines.provide information.The problem of fault location after lightning disasters on EHV transmission lines is transformed into the optimal solution problem using the seeking ranging equation,and the improved ant colony algorithm is used to solve the ranging equation to obtain the optimal solution when the maximum number of iterations is reached.Fault location after lightning disasters on high voltage transmission lines.The experimental results show that the proposed method has high ranging efficiency and high accuracy.
作者 丁连荣 朱芮贤 Ding Lianrong;Zhu Ruixian(State Grid Tianjin Electric Power Company Maintenance Company,Tianjin 300010,China)
出处 《现代科学仪器》 2020年第6期117-121,共5页 Modern Scientific Instruments
基金 天津市电力公司科技项目(编号:KJ17-1-17)。
关键词 蚁群算法 超高压输电线路 雷电灾害 故障测距 Improved ant colony algorithm Ultra high voltage transmission line Lightning disaster Fault location
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