Fault location of flexible DC system based on BP neural network

Shuang Liu, Sihuan Wang
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Abstract

As a bridge of the transmission system, flexible DC transmission line plays an important role. If a fault occurs, it will bring serious consequences to the entire transmission system. It is very important to study the fault location of the flexible DC transmission line. According to the system structure of flexible DC transmission line, the mathematical model, operation mode and control strategy of MMC are analyzed. According to the characteristics of transmission line with bipolar short circuit fault, a fault location method based on BP neural network is proposed. Combined with PSCAD/EMTDC, a twoterminal flexible DC transmission system is built, and the fault data of the flexible DC transmission line is obtained by simulation. After preprocessing the data, a sample set is constructed. The neural network analysis uses the two-terminal fault location method, and finally a high-precision fault location model is obtained, which verifies the accuracy and effectiveness of the location method proposed in this paper.
基于BP神经网络的柔性直流系统故障定位
柔性直流输电线路作为输电系统的桥梁,起着重要的作用。一旦发生故障,将给整个输电系统带来严重的后果。研究柔性直流输电线路的故障定位具有十分重要的意义。根据柔性直流输电线路的系统结构,分析了柔性直流输电线路的数学模型、运行方式和控制策略。针对输电线双极短路故障的特点,提出了一种基于BP神经网络的故障定位方法。结合PSCAD/EMTDC,构建了一个双端柔性直流输电系统,并通过仿真得到了柔性直流输电线路的故障数据。对数据进行预处理后,构建样本集。神经网络分析采用了双端故障定位方法,最终得到了高精度的故障定位模型,验证了本文提出的定位方法的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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