Robust optimization for strategic energy planning

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 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 in more efficient and cleaner technologies can be economically optimal.


Published in:
Informatica, 27, 3, 625-648
Year:
2016
ISSN:
0868-4952
Keywords:
Laboratories:




 Record created 2016-01-15, last modified 2018-03-17


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