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

Samira Fazlollahi, Pierre Mandel, Gwenaelle Becker and Francois Maréchal

Energy, 2012, vol. 45, issue 1, 12-22

Abstract: 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.

Keywords: Energy systems; Mixed integer linear programming; Evolutionary algorithm; Multi-objective optimization; CO2 mitigation; Integer cut constraints (ICC) (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (64)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:45:y:2012:i:1:p:12-22

DOI: 10.1016/j.energy.2012.02.046

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