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Journal of Applied Mathematics - Volume 2017 2017, Article ID 3424129, 11 pages -

Research Article

GAUNAL, Universidad Nacional de Colombia, Carrera 80 No. 65-223, Medellin, Colombia

ELECTA-EnergyVille, University of Leuven KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium

Correspondence should be addressed to P. Deossa

Received 25 July 2016; Accepted 15 March 2017; Published 6 April 2017

Academic Editor: Urmila Diwekar

Copyright © 2017 P. Deossa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This article presents a Generation Expansion Model of the power system taking into account the operational constraints and the uncertainty of long-term electricity demand projections. The model is based on a discretization of the load duration curve and explicitly considers that power plant ramping capabilities must meet demand variations. A model predictive control method is used to improve the long-term planning decisions while considering the uncertainty of demand projections. The model presented in this paper allows integrating technical constraints and uncertainty in the simulations, improving the accuracy of the results, while maintaining feasible computational time. Results are tested over three scenarios based on load data of an energy retailer in Colombia.

Autor: P. Deossa, K. De Vos, G. Deconinck, and J. Espinosa



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