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作 者:邓思敬 吴浩 邓力川 蔡源 DENG Si-jing;WU Hao;DENG Li-chuan;CAI Yuan(School of Automation and Information Engineering,Sichuan University of Science&Engineering,Yibin 644000,China;Artificial Intelligence Key Laboratory of Sichuan Province,Yibin 644000,China)
机构地区:[1]四川轻化工大学自动化与信息工程学院,四川宜宾644000 [2]人工智能四川省重点实验室,四川宜宾644000
出 处:《电工电气》2024年第7期16-26,52,共12页Electrotechnics Electric
基 金:四川省科技厅项目(2021YFG0313,2022YFS0518,2022ZHCG0035);人工智能四川省重点实验室项目(2019RYY01);四川轻化工大学人才引进项目(2021RC12);自贡市科技局项目(2019YYJC02,2020YGJC16)。
摘 要:在目前的配电线路智能故障诊断研究方法中,存在着难以充分提取故障特征、抗噪声干扰能力弱、抗高阻能力差等问题。提出了一种基于短时傅里叶变换(STFT)并引入迁移学习的改进ConvNeXt配电网故障区段定位方法。该方法通过采集配电网各馈线两端的零序电流,计算出各馈线两端的零序电流幅值差,然后将各段的零序电流幅值差拼接成一个组合信号,用STFT处理组合信号,得到时频图,并将得到的时频图分为训练集和测试集。仿真结果表明,基于STFT并改进的ConvNeXt配电网故障区段定位方法在不同的故障距离、不同的接地电阻和不同的初始故障角度下都能有效地实现故障区段的选择,并且该方法具有较强的抗高阻能力以及较强的抗噪声干扰能力,在部分数据丢失的情况下仍能准确进行区段定位。In the present research methods of intelligent fault diagnosis of distribution lines,there are some problems,such as difficulty to extract fault features fully,weak ability to resist noise interference and poor ability to resist high resistance.In this paper,an improved fault segment location method of ConvNeXt distribution network based on short-time fourier transform(STFT)and transfer learning is proposed.In this method,the amplitude difference of the zero-sequence current at both ends of each feeder is calculated by collecting the zero-sequence current at both ends of each feeder of the distribution network.Then,the amplitude difference of the zero-sequence current of each segment is spliced into a combined signal,and the combined signal is processed by STFT to obtain a time-frequency graph,and the obtained time-frequency graph is divided into a training set and a test set.The simulation results show that the improved ConvNeXt distribution network fault segment location method based on STFT can effectively realize the selection of fault segments under different fault distances,different ground resistances and different initial fault angles,and the method has strong anti-high impedance ability and strong anti-noise interference ability,and can still accurately locate the segment in the case of partial data loss.
关 键 词:配电网 暂态零序电流 区段定位 短时傅里叶变换 ConvNeXt模型
分 类 号:TM711[电气工程—电力系统及自动化]
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