Unit commitment under uncertainty in AC transmission systems via risk averse semidefinite stochastic Programs
RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 2, pp. 391-416.

This paper addresses unit commitment under uncertainty of load and power infeed from renewables in alternating current (AC) power systems. Beside traditional unit-commitment constraints, the physics of power flow are included. To gain globally optimal solutions a recent semidefinite programming approach is used, which leads us to risk averse two-stage stochastic mixed integer semidefinite programs for which a decomposition algorithm is presented.

Reçu le :
Accepté le :
DOI : 10.1051/ro/2016031
Classification : 90C15, 90C35, 90C22
Mots-clés : Stochastic programming, semidefinite programming, AC power flow
Schultz, Rüdiger 1 ; Wollenberg, Tobias 1

1 Department of Mathematics, University of Duisburg-Essen, Thea-Leymann-Straße 9, 45127 Essen, Germany
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Schultz, Rüdiger; Wollenberg, Tobias. Unit commitment under uncertainty in AC transmission systems via risk averse semidefinite stochastic Programs. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 2, pp. 391-416. doi : 10.1051/ro/2016031. http://www.numdam.org/articles/10.1051/ro/2016031/

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