Summary
The selection of overhead conductors is a critical decision that defines the CAPEX and OPEX of transmission lines. However, when talking about joint optimization, that is, reaching a joint optimization between conductor-structure is computationally expensive due to the need to mechanically validate each conductor alternative in specialized software. This work presents a novel methodology, already implemented and validated, that overcomes this barrier through the use of Artificial Intelligence (AI), genetic algorithms and robotic automation using Python.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B2_12037_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Colombia |
| Study committees | |
| File size | 899 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
MARTINEZ Cristian - ISES; JIMENEZ Victor - ISES; PULGARIN RIVERA Juan - Universidad Distrital Francisco Jose de Caldas
Keywords
