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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 1876934, 10 pages
https://doi.org/10.1155/2017/1876934
Research Article

Multiobjective Optimization Model for Wind Power Allocation

1National University of Rio Cuarto, Rio Cuarto, Argentina
2IFF Fraunhofer, Magdeburg, Germany

Correspondence should be addressed to Juan Alemany

Received 16 November 2016; Revised 14 February 2017; Accepted 1 March 2017; Published 19 March 2017

Academic Editor: Jian G. Zhou

Copyright © 2017 Juan Alemany 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.

Abstract

There is an increasing need for the injection to the grid of renewable energy; therefore, to evaluate the optimal location of new renewable generation is an important task. The primary purpose of this work is to develop a multiobjective optimization model that permits finding multiple trade-off solutions for the location of new wind power resources. It is based on the augmented -constrained methodology. Two competitive objectives are considered: maximization of preexisting energy injection and maximization of new wind energy injection, both embedded, in the maximization of load supply. The results show that the location of new renewable generation units affects considerably the transmission network flows, the load supply, and the preexisting energy injection. Moreover, there are diverse opportunities to benefit the preexisting generation, contrarily to the expected effect where renewable generation displaces conventional power. The proposed methodology produces a diverse range of equivalent solutions, expanding and enriching the horizon of options and giving flexibility to the decision-making process.