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Información del artículo

Automatic selection of candidate investments for transmission expansion planning

S. Lumbreras, A. Ramos, P. Sánchez

International Journal of Electrical Power & Energy Systems Vol. 59, pp. 130 - 140

Resumen:

This paper deals explicitly with the problem of proposing candidate lines (sometimes referred to as technical alternatives) for Transmission Expansion Planning (TEP). Candidate lines have been traditionally regarded as expert-provided system information. However, given the need to plan larger networks, identifying interesting candidates is an issue of increasing relevance and complexity. This paper proposes a consistent method to tackle this problem. First, an automatic and objective candidate discovery mechanism based on sensitivities proposes potentially interesting investments. Then, a candidate management strategy filters the list of candidates to keep problem size within tractable levels in a Mathematical Programming context without compromising global optimality. Finally, a candidate analysis tool reveals the relationships among investments from a relatively fast and simple power flow study. This information can be interesting to provide support for expansion decisions. These theoretical developments are complemented by a realistic case study which illustrates the applicability of the method.


Palabras Clave: Power transmission planning; Transmission Expansion Planning; Mathematical Programming; Candidate investment selection


Índice de impacto JCR y cuartil WoS: Q1 (2014); 5.659 - Q1 (2021)

Referencia DOI: DOI icon 10.1016/j.ijepes.2014.02.016

Publicado en papel: Julio 2014.

Publicado on-line: Marzo 2014.



Cita:
S. Lumbreras, A. Ramos, P. Sánchez. Automatic selection of candidate investments for transmission expansion planning. International Journal of Electrical Power & Energy Systems. Vol. 59, pp. 130 - 140, Julio 2014. [Online: Marzo 2014]


    Líneas de investigación:
  • *Técnicas de cálculo paralelo y distribuido aplicado a la solución de problemas de programación matemática
  • *Análisis de estrategia a largo plazo

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