Minimal feasible model representation for optimal capacity expansion decisions Minimale zulässige modellbeschreibung für eine optimale kapazitätsplanung

Thurner C, Martin A (2017)

Publication Type: Conference contribution

Publication year: 2017

Journal

VDI-Berichte Deutscher Ingenieur-Verlag

Publisher: VDI Verlag GMBH

Book Volume: 2017

Pages Range: 119-130

Conference Proceedings Title: VDI Berichte

Event location: Würzburg, DEU

Abstract

We present an approach for cost minimal/welfare maximal capacity expansion planning decisions of electric energy systems using decomposition and adaptive refinement methods. To this end we first formulate a nonlinear mathematical model for the optimal planning and control of a electrical energy system. Afterwards we describe a method to iteratively derive and solve minimal feasible MIP-relaxations of this problem and present numerical results for reallife instances.

Authors with CRIS profile

Christoph Thurner Economics - Discrete Optimization - Mathematics (EDOM) Alexander Martin Economics - Discrete Optimization - Mathematics (EDOM)

How to cite

APA:

Thurner, C., & Martin, A. (2017). Minimal feasible model representation for optimal capacity expansion decisions Minimale zulässige modellbeschreibung für eine optimale kapazitätsplanung. In VDI Berichte (pp. 119-130). Würzburg, DEU: VDI Verlag GMBH.

MLA:

Thurner, Christoph, and Alexander Martin. "Minimal feasible model representation for optimal capacity expansion decisions Minimale zulässige modellbeschreibung für eine optimale kapazitätsplanung." Proceedings of the 12th Conference on Optimization in of the Energy Industry, 2017, Würzburg, DEU VDI Verlag GMBH, 2017. 119-130.

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