基于自适应神经模糊网络的高压输电线路绝缘配合方法  

Insulation Coordination Method for High Voltage Transmission Lines Based on Adaptive Neural Fuzzy Networks

作　　者：宋梦娇 SONG Mengjiao(State Grid Electric Power Space Technology Co.,Ltd.,Beijing 102209,China)

机构地区：[1]国网电力空间技术有限公司,北京102209

出　　处：《通信电源技术》2023年第16期44-46,共3页Telecom Power Technology

摘　　要：在传统的线路绝缘配合中,因只考虑线路本身的绝缘配合过程,忽略对外部电路图的设计,导致绝缘配合效果不好,易发生线路放电,产生电弧造成一定的危险,因此提出基于自适应神经模糊网络的高压输电线路绝缘配合方法。分析输电线路的相角影响状况,智能控制合闸装置。搭建内外线路的仿真模型,校核绝缘水平,验证模型的适用性,最后基于自适应神经模糊网络优化线路配合方法,取得最优绝缘裕度,实现高压输电线路的绝缘配合。实验组的绝缘配合指数为95.68%,而对照组的平均绝缘配合指数为76.34%,可以证明所设计方法的有效性。In traditional insulation coordination of transmission lines,due to only considering the insulation coordination process of the line itself and neglecting the design of external circuit diagrams,the insulation coordination effect is not good,and line discharge is prone to occur,resulting in certain risks of arc generation.Therefore,an adaptive neural fuzzy network based insulation coordination method for high-voltage transmission lines is proposed.Firstly,analyze the impact of phase angle on the transmission line,intelligently control the closing device,then build a simulation model of the internal and external lines,check the insulation level,and verify the applicability of the model.Finally,optimize the line coordination method based on adaptive neural fuzzy network to obtain the optimal insulation margin and achieve the insulation coordination of high-voltage transmission lines.In the experiment,the insulation coordination index of the experimental group is 95.68%,while the average insulation coordination index of the control group is 76.34%,which can prove the effectiveness of the designed method.

关 键 词：神经模糊网络 高压输电线 自适应 线路绝缘配合 

分 类 号：TM75[电气工程—电力系统及自动化]