Integrated Transmission and Distribution System Expansion Planning Under Uncertainty
Munoz-Delgado, Gregorio; Contreras, Javier; Arroyo, Jose M.; Nieta, Agustin Sanchez de la; Gibescu, Madeleine
(2021) IEEE Transactions on Smart Grid, volume 12, issue 5, pp. 4113 - 4125
(Article)
Abstract
The increased deployment of distributed generation calls for the coordination and interaction between the transmission and distribution levels. This requirement is particularly relevant for planning purposes when renewable-based generation is involved. Unfortunately, in current industry practice, transmission and distribution network planners solve their problems independent of each other, thereby leading
... read more
to suboptimal solutions. Within this context, this paper addresses the integrated expansion planning problem of transmission and distribution systems where investments in network and generation assets are jointly considered. Several alternatives are available for the installation of lines as well as conventional and renewable-based generators at both system levels. Thus, the optimal expansion plan identifies the best alternative for the candidate assets under the uncertainty associated with demand and renewable-based power production. The proposed model is an instance of stochastic programming wherein uncertainty is characterized through a set of scenarios that explicitly capture the correlation between the uncertain parameters. The resulting stochastic program is driven by the minimization of the expected total cost, which comprises the costs related to investment decisions and system operation. The associated scenario-based deterministic equivalent is formulated as a mixed-integer linear program for which finite convergence to optimality is guaranteed. Numerical results show the effective performance of the proposed approach.
show less
Download/Full Text
Keywords: Distributed generation, integrated transmission and distribution planning, network and generation investment decisions, stochastic programming, uncertainty, Taverne, General Computer Science
ISSN: 1949-3061
Publisher: Institute of Electrical and Electronics Engineers Inc.
Note: Funding Information: Manuscript received July 17, 2020; revised November 27, 2020 and March 2, 2021; accepted April 2, 2021. Date of publication April 6, 2021; date of current version August 23, 2021. This work was supported in part by the Ministry of Science, Innovation and Universities of Spain under Project RTI2018-096108-A-I00 and Project RTI2018-098703-B-I00 (MCIU/AEI/FEDER, UE), and in part by the Universidad de Castilla-La Mancha under Grant 2020-GRIN-29009. Paper no. TSG-01106-2020. (Corresponding author: Javier Contreras.) Gregorio Muñoz-Delgado, Javier Contreras, and José M. Arroyo are with the Escuela Técnica Superior de Ingeniería Industrial, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain (e-mail: gregorio.munoz@uclm.es; javier.contreras@uclm.es; josemanuel.arroyo@uclm.es). Publisher Copyright: © 2010-2012 IEEE.
(Peer reviewed)
See more statistics about this item