Robust optimization for strategic energy planning

Long-term planning for energy systems is often based on deterministic economic optimization and unreliable forecasts of fuel prices. Usual consequence is a low penetration of renewables and more efficient technologies in favor of fossil alternatives. A classification 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 on more efficient and cleaner technologies can be economically optimal.


Presented at:
1st European Conference on Stochastic Programming and Energy Applications (EuroCSP2014), Paris, France, September 24-26, 2014
Year:
2014
Keywords:
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 Record created 2014-09-29, last modified 2018-09-13

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