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.
Authors
- Bin Liu (ORCID: https://orcid.org/0000-0002-1896-6941)
- Fan Yang (ORCID: https://orcid.org/0000-0001-9892-839X)
- Jiang Xiong (ORCID: https://orcid.org/0000-0002-3836-6396)
- Mingxiao Li
- Decai Zhou
Institutions
- State Grid Corporation of China (China) (CN)
- Energy Research Institute (CN)
- Shanghai Electric (China) (CN)
- China Power Engineering Consulting Group (China) (CN)
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