Research on intelligent site selection technology of clean energy substation in high altitude area

This paper provides an intelligent site selection technology of clean energy substation in high altitude area. In the site selection process, four main steps, data collection, exclusion, screening and ranking, were included. The efficiency of manual site selection is relatively low, thus the particle swarm optimization algorithm was introduced in the program. At last, several recommended sites were given for the target region, chosen as a pilot area for the new way of site selection for substations in high altitude areas.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/iccepe66357.2025.11193334
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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Research on intelligent site selection technology of clean energy substation in high altitude area

Bin Liu, Fan Yang, Jiang Xiong, Mingxiao Li et al.
Power Systems and Technologies
article

Research on intelligent site selection technology of clean energy substation in high altitude area

Bin Liu, Fan Yang, Jiang Xiong, Mingxiao Li, Decai Zhou
article en

Abstract

This paper provides an intelligent site selection technology of clean energy substation in high altitude area. In the site selection process, four main steps, data collection, exclusion, screening and ranking, were included. The efficiency of manual site selection is relatively low, thus the particle swarm optimization algorithm was introduced in the program. At last, several recommended sites were given for the target region, chosen as a pilot area for the new way of site selection for substations in high altitude areas.

State Grid Corporation of China (China) (CN), Energy Research Institute (CN), Shanghai Electric (China) (CN), China Power Engineering Consulting Group (China) (CN)
Openalex Percentile: Top 71%
Power Systems and Technologies
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