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13 May 2024 Analysis of real-time line-transformer relationship in distribution network based on line segmentation
Chenglong Xu, Wei Cheng, Shijin Liu, Yu Pang
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Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131597A (2024) https://doi.org/10.1117/12.3024576
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
This paper is concerned with the real-time line variation analysis when the switches in the distribution network change position, and a simplified topology analysis method based on line segmentation is proposed. Compared with the traditional way, it greatly reduces the electrical equipment involved in the analysis, which can effectively reduce the requirements of server hardware resources. Through real-time switch displacement analysis, the real-time and accuracy of line displacement relationship analysis are greatly improved. In this paper, the model of line segmentation, line segment switch relationship, line segment-transformer and other related models are proposed. Through the process of line segmentation initialization, switch change monitoring, line segment -transformer relationship updating, and line-transformer relationship analysis, the change of feeder operation mode and the change of transformer shutdown and recovery are analyzed. It can effectively improve the accuracy and efficiency of line segment-transformer relationship analysis, as well as the reliability and economy of power system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Chenglong Xu, Wei Cheng, Shijin Liu, and Yu Pang "Analysis of real-time line-transformer relationship in distribution network based on line segmentation", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131597A (13 May 2024); https://doi.org/10.1117/12.3024576
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KEYWORDS
Switches
Circuit switching
Transformers
Power supplies
Data modeling
Analytical research
Switching
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