Transmission line frequency-domain fault location method based on the phasor-time space curve characteristics that considers decaying DC deviation

Liang, Yuansheng; Ding, Jiayan; Li, Haifeng; Wang, Gang; Zhang, Zihong

doi:10.1016/j.ijepes.2022.108308

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…Transmission lines refer to the power transmission channels used to transmit high-power electricity generated by power plants and substations over long distances to various user terminals [1][2] . Usually composed of high-voltage cables or highvoltage overhead lines, including towers and conductors.…”

Section: Introductionmentioning

confidence: 99%

Computer vision based tilt detection of transmission line towers under high wind speed impact

Zhang,

Zhang

et al. 2024

Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)

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Transmission lines are an important component of the power system, and their stable operation is crucial for ensuring power supply safety. In a strong wind environment, it may cause the tower to tilt, causing transmission line faults, and thus affecting the normal electricity consumption of users. Therefore, a computer vision based method for detecting the inclination of transmission line towers under high wind speed impact is proposed. Preprocess the transmission line tower image and use the random forest algorithm to extract the features of the transmission line tower image. On this basis, based on the Region Proposal Network (RPN) in computer vision, the tilt detection of transmission line towers under high wind speed impact is achieved. The experimental results show that the method proposed in this paper has a good detection effect on the tilt of transmission line towers, and can accurately detect the tilt angle of transmission line towers. When the maximum wind speed is reached, the tilt angle of the tower is the maximum.

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Section: Introductionmentioning

confidence: 99%