Please use this identifier to cite or link to this item: http://hdl.handle.net/11531/5703
Title: A Monte Carlo approach for assessment of investments deferral in radial distribution networks with distributed generation
Authors: Méndez Quezada, Víctor Hugo
Rivier Abbad, Juan Martín
Fuente León, José Ignacio de la
Gómez San Román, Tomás
Arcéluz Ogando, José
Marín, J.
Madurga, A.
Issue Date: 23-Jun-2003
Publisher: Sin editorial (Bolonia, Italia)
Abstract: 
Distributed Generation (DG) is located in distribution networks near to consumers or even in the consumers’ side of the meter. Therefore, net demand to be supplied from transmission and distribution can decrease postponing the need to reinforce existing networks. This paper proposes a method to assess the impact of DG connection to radial distribution networks on investment deferral in the long-term. Due to the randomness of involved variables (load demand patterns, DG hourly energy production, DG availability, etc.) a probabilistic approach using a Monte Carlo simulation is adopted. Several scenarios characterized by different DG penetration, and concentration levels, and DG technology mix, are analyzed. Results show that, once initial network reinforcements for DG connection has been accomplished, DG can defer feeder or transformer investments due to the natural load growth in the medium and long term.
Description: Capítulos en libros
URI: http://hdl.handle.net/11531/5703
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