Summary:
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.
Keywords: Power transmission planning; Transmission Expansion Planning; Mathematical Programming; Candidate investment selection
JCR Impact Factor and WoS quartile: Q1 (2014); 5,000 - Q1 (2023)
DOI reference:
https://doi.org/10.1016/j.ijepes.2014.02.016
Published on paper: July 2014.
Published on-line: March 2014.
Citation:
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, July 2014. [Online: March 2014]
