Unit commitment under uncertainty in AC transmission systems via risk averse semidefinite stochastic programs

Submission Status:in press
  • 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.

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Author:Rüdiger Schultz, Tobias Wollenberg
DOI:https://doi.org/https://doi.org/10.1051/ro/2016031
Parent Title (English):RAIRO-Operations Research
Document Type:Article
Language:English
Date of Publication (online):2017/03/30
Date of first Publication:2017/04/04
Release Date:2017/04/04
Tag:AC Power Flow; Semidefinite Programming; Stochastic Programming
Volume:51
Issue:2
First Page:391
Last Page:416
Institutes:Universität Duisburg-Essen
Subprojects:B05