Identifying the Key Transmission Lines Considering the Power Flow Impact Force

Li, Changchao; Kang, Zhengming; Yu, Haoyong; Ri, Kihong; Zheng, Shiqiang

doi:10.1109/access.2019.2928702

Cited by 3 publications

References 23 publications

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Power Line Simulation for Safety Distance Detection Using Point Clouds

et al. 2020

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Airborne LiDAR has been adopted as a powerful survey tool for overhead power transmission line (TL) cruising so that the operator can quickly search for, locate and eliminate the risk objects at the power line corridor scene. However, the TLs are moving objects, which positions are dynamically affected by working conditions (e.g. temperature variation, wind-induced conductor motion) while they are acquired by airborne LiDAR. The point clouds data acquired by airborne LiDAR only reflect the geometric relationship between the TL and its surrounding objects at the transient moment of the data acquisition. In order to overcome the shortcomings of the instantaneously acquired laser scanning data, this paper presents an approach for simulating the dynamic TL shape under different working conditions based on mechanical computation of the overhead line. The proposed approach considers the tension variation of TL resulting from weather conditions, such as temperature, wind and ice, while simulates TL sag curve using the parabolic catenary equation combined with the tension. A performance evaluation was conducted over the TLs data with multiple voltage levels. Experiments results show that the proposed approach is effective for simulating the 3D shape of TL under different working conditions. The simulation error achieved was less than 0.65m and the maximum Diff-Ratio was about 1.57%. This provides a scientifically sound predicting and modeling approach for TL risk assessment and warning along the corridor.INDEX TERMS airborne laser scanning, remote sensing, power line modeling, risk management, transmission line simulation This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Power Line Simulation for Safety Distance Detection Using Point Clouds

et al. 2020

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Identification of Key Lines of Power Grid under Typhoon Disaster Based on Situation Awareness

Chen

Hou

Xie

et al. 2020

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)

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Research on Optimization and Control Technology of Transmission Grid for Low Carbon Economy

Yang,

Dong,

Rong

et al. 2024

Applied Mathematics and Nonlinear Sciences

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The low-carbon upgrading of transmission grids can be effectively realized by trend optimization techniques. This paper improves the traditional trend calculation based on the distributed power supply controlled by droops. Each node’s power balance equations are outlined based on the established distributed power supply with droop control and other models. The improved Niu La method is used to establish the trend calculation model, and the active sag coefficient and reactive sag coefficient in the droop control are normalized. Virtual impedance is utilized to regulate the reactive power classification between distributed power sources in the transmission network to minimize transmission network losses. The carbon and economic benefits of this paper’s method are analyzed using the MATLAB platform, and the carbon emissions of line and node active losses are reduced by 72.30% and 50.67%, respectively, before and after the optimal flow control. The economic benefits of saving line losses after performing optimization and control are 4.8739 × 105 yuan, 7.8593 × 105 yuan and 1.1283 × 106 yuan, respectively.

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Identifying the Key Transmission Lines Considering the Power Flow Impact Force

Cited by 3 publications

References 23 publications

Power Line Simulation for Safety Distance Detection Using Point Clouds

Power Line Simulation for Safety Distance Detection Using Point Clouds

Identification of Key Lines of Power Grid under Typhoon Disaster Based on Situation Awareness

Research on Optimization and Control Technology of Transmission Grid for Low Carbon Economy

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