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Multiobjective optimization model for wind power allocation

 
: Alemany, Juan; Magnago, Fernando; Lombardi, Pio; Arendarski, Bartlomiej; Komarnicki, Przemyslaw

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Volltext urn:nbn:de:0011-n-4810235 (2.3 MByte PDF)
MD5 Fingerprint: 504352730924c65a3034afa5f47ac0fc
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Erstellt am: 7.9.2018


Mathematical problems in engineering : MPE (2017), Art. 1876934, 10 S.
ISSN: 1024-123X
ISSN: 1563-5147
Bundesministerium für Wirtschaft und Technologie BMWi
0325779A
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IFF ()

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 epsilon-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.

: http://publica.fraunhofer.de/dokumente/N-481023.html