Paper
13 May 2024 Vulnerable link diagnosis of distribution network based on line voltage stability
Kejian Shi, Ting Wang, Zikuo Dai, Xinyu Zhang, Ye Tian, Qiang Cheng
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315957 (2024) https://doi.org/10.1117/12.3024477
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
The line is an indispensable part of the distribution network topology. As the distribution data contains only customer-side power losses, a power flow calculation method with the addition of a node power correction module (NPCM) is proposed in this paper. The lost transformer losses are re-calculated into the load power by means of the power correction module so that the medium voltage derived from the theoretical calculation is more closely aligned with the actual distribution trend. The influence of power transmission in the line is not negligible. Thus, this thesis uses the tidal current medium index to describe it and establishes tidal current transmission factors for active and reactive currents, respectively, to describe the power tidal transmission characteristics in the line. Finally, the line voltage stability index is proposed according to the connection relationship between the two nodes. The stability assessment of the MV side of the line is realized, and the reliability of the proposed method is verified through the distribution data of the Liaoning No.1 line.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Kejian Shi, Ting Wang, Zikuo Dai, Xinyu Zhang, Ye Tian, and Qiang Cheng "Vulnerable link diagnosis of distribution network based on line voltage stability", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315957 (13 May 2024); https://doi.org/10.1117/12.3024477
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KEYWORDS
Transformers

Lithium

Power grids

Power supplies

Modeling

Power consumption

Reliability

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