Research on fault early warning of power transmission line crossing and collision based on multi-source data

An Chang; Wenjian Zheng; Jianing Shang; Gang Zhao; Mandi Cui

doi:10.1117/12.2672896

25 April 2023 Research on fault early warning of power transmission line crossing and collision based on multi-source data

An Chang, Wenjian Zheng, Jianing Shang, Gang Zhao, Mandi Cui

Author Affiliations +

Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 1259823 (2023) https://doi.org/10.1117/12.2672896
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China

Abstract

The existing transmission line fault early warning can’t automatically identify the abnormal area, resulting in poor early warning effect for the line crossing and line touching fault. Based on this, an early-warning method of power transmission line crossing and collision fault based on multi-source data is proposed. Combined with the feature extraction method of multi-source data fusion, based on the analysis of the characteristics of the stock index of power grid transmission line crossing and touching, the leakage current acquisition model is constructed. Based on the model, the abnormal data of power grid are collected, and the characteristics of power grid transmission line crossing and touching are mined and identified. Then the texture features are obtained by using the local binary pattern operator to simplify the early warning steps of power grid transmission line crossing and touching. The experimental results show that the multi-source data-based power grid transmission line crossing and collision fault early warning is more practical than the traditional methods. In the process of practical application, the effect of abnormal data prediction and collection is significantly better. It can carry out fault early warning more quickly and accurately, and fully meet the research requirements.

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An Chang, Wenjian Zheng, Jianing Shang, Gang Zhao, and Mandi Cui "Research on fault early warning of power transmission line crossing and collision based on multi-source data", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 1259823 (25 April 2023); https://doi.org/10.1117/12.2672896

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KEYWORDS

Data modeling

Data transmission

Power grids

Failure analysis

Data acquisition

Environmental monitoring

Sensors

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