Paper
2 January 2025 Planning of urban distribution grid backbone lines based on high-resolution remote sensing images
Shijie Zhou, Xinting Wen, Xinran Yang, Bowen Yu
Author Affiliations +
Proceedings Volume 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024); 135140N (2025) https://doi.org/10.1117/12.3059020
Event: 2024 International Conference on Remote Sensing and Digital Earth, 2024, Chengdu, China
Abstract
Due to the different load demands in different areas of the city, the effect of trunk line planning is difficult to ensure the effective utilization of electric energy. Therefore, a study on urban distribution network trunk line planning based on high-resolution remote sensing images is proposed. Considering the objective demand of the load, the distribution network is divided into a three-layer grid model according to the three voltage levels of the distribution network: high voltage, medium voltage and low voltage, combined with the high-resolution remote sensing image information. In the specific division stage, the IBIWO algorithm is introduced. After the initial line architecture is divided based on the three-layer grid model, the target function value of the line planning is set in combination with the power flow, and with the help of the competitive exclusion mechanism, Determine the optimal architecture for the space diffusion phase. In the test results, the overall active load of the grid in a single day reached 1108.22kW, which was 34.92kW and 26.41kW higher than that of the control group, respectively. The proportion of reactive output in different load periods was only 5.24%, which had obvious advantages compared with the control group.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shijie Zhou, Xinting Wen, Xinran Yang, and Bowen Yu "Planning of urban distribution grid backbone lines based on high-resolution remote sensing images", Proc. SPIE 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024), 135140N (2 January 2025); https://doi.org/10.1117/12.3059020
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KEYWORDS
Network architectures

Power grids

Power supplies

Remote sensing

Design

Diffusion

Reliability

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