Methods for multi-objective investment and operating optimization of complex energy systems

The design and operations of energy systems are key issues for matching energy supply and consumption. Several optimization methods based on the mixed integer linear programming (MILP) have been developed for this purpose. However, due to uncertainty of some parameters like market conditions and resource availability, analyzing only one optimal solution with mono objective function is not sufficient for sizing the energy system.

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Year of publication:	2012
Authors:	Fazlollahi, Samira ; Mandel, Pierre ; Becker, Gwenaelle ; Maréchal, Francois
Published in:	Energy. - Elsevier, ISSN 0360-5442. - Vol. 45.2012, 1, p. 12-22
Publisher:	Elsevier
Subject:	Energy systems \| Mixed integer linear programming \| Evolutionary algorithm \| Multi-objective optimization \| CO2 mitigation \| Integer cut constraints (ICC)

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

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