INFORMATICA International Journal Main Page Editorial Board Abstracting/Indexing Instructions to Authors Subscription Information Contents Author Index Papers in Production		INFORMATICA, 2016, Vol. 27, No. 3, 625-648 © Institute of Mathematics and Informatics, DOI: http://dx.doi.org/10.15388/Informatica.2016.103 ISSN 0868-4952 Robust Optimization for Strategic Energy Planning Stefano MORET1, Michel BIERLAIRE, François MARÉCHAL Industrial Process and Energy Systems Engineering Group (IPESE) Transport and Mobility Laboratory École Polytechnique Fédérale de Lausanne 1015 Lausanne, Switzerland E-mail: stefano.moret@epfl.ch Abstract Long-term planning for energy systems is often based on deterministic economic optimization and forecasts of fuel prices. When fuel price evolution is underestimated, the consequence is a low penetration of renewables and more efficient technologies in favour of fossil alternatives. This work aims at overcoming this issue by assessing the impact of uncertainty on energy planning decisions. A characterization of uncertainty in energy systems decision-making is performed. Robust optimization is then applied to a Mixed-Integer Linear Programming problem, representing the typical trade-offs in energy planning. It is shown that in the uncertain domain investing in more efficient and cleaner technologies can be economically optimal. Keywords: energy planning, robust optimization, uncertainty characterization, Mixed-Integer Linear Programming 1Corresponding author. To preview Lithuanian abstract see full article text To preview full article text in PDF format click here You could obtain free Acrobat Reader from Adobe
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