ejecqc Open Access Journal

European Journal of Emerging Cloud and Quantum Computing

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STRATEGIC GRID DEVELOPMENT IN THE ANDES: INTEGRATING GEOSPATIAL INTELLIGENCE FOR RESILIENT TRANSMISSION NETWORKS

1 Department of Electrical and Computer Engineering, Universidad de Santiago de Chile, Chile
2 Department of Geomatics, Universidad Técnica Federico Santa María, Chile

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Abstract

This article investigates the crucial role of geospatial considerations in the strategic planning and expansion of electricity transmission networks within the unique geographical context of the Andean region. It delves into how the rugged mountainous terrain, diverse ecosystems, and susceptibility to natural hazards significantly influence the design, cost, and resilience of transmission infrastructure. The paper reviews advanced Transmission Expansion Planning (TEP) methodologies, including AC models and AI-driven approaches for managing uncertainties, and specifically highlights their adaptation to Andean realities through the integration of topographical, geological, and hydrological data. The results demonstrate that a geospatial-informed approach leads to more robust network designs, enhanced resilience against seismic events and climate change impacts, and optimized cross-border interconnections. While acknowledging challenges such as data availability and modeling complexity, the discussion emphasizes the necessity of multi-criteria decision-making and regional collaboration. Future directions include leveraging advanced AI/ML, refining climate change resilience modeling, and fostering supportive policy frameworks to ensure sustainable and adaptable electrical grids in the Andes.


Keywords

Transmission Expansion Planning, Geospatial Analysis, Andean Electrical Systems, Power Systems

References

[1] P. Vilaça Gomes and J. Tomé Saraiva, “State-of-the-art of transmission expansion planning: A survey from restructuring to renewable and distributed electricity markets,” 2019, doi: 10.1016/j.ijepes.2019.04.035.

[2] Garver, L.L., 1970. “Transmission network estimation using linear programming. IEEE Trans. Power Appar. Syst., vol. PAS-89 (7), 1688–1697. https://doi.org/10.1109/TPAS.1970.292825

[3] Lumbreras, S., 2021. Transm. Expans. Plan.: Netw. Chall. Energy Transit. https://doi.org/10.1007/978-3-030-49428-5

[4] Daniel, R., Wilian, G., 2022. Desarrollo de casos de estudios en base al Sistema Nacional Interconectado de Ecuador para el análisis de sistemas eléctricos de potencia,”. Universidad Técnica de Cotopaxi.

[5] Rider, M.J., Garcia, A.V., Romero, R., 2007. Power system transmission network expansion planning using AC model. IET Gener. Transm. Distrib., vol. 1 (5), 731–742. https://doi.org/10.1049/iet-gtd:20060465


How to Cite

STRATEGIC GRID DEVELOPMENT IN THE ANDES: INTEGRATING GEOSPATIAL INTELLIGENCE FOR RESILIENT TRANSMISSION NETWORKS. (2024). European Journal of Emerging Cloud and Quantum Computing, 1(01), 64-76. https://parthenonfrontiers.com/index.php/ejecqc/article/view/94

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