Dinamarca
The analysis and planning of electricity generation capacity expansion involve large-scale optimization. The reason is the large number of generating units with different operating characteristics and located at different nodes of the electricity network, as well as the need to account for both long-term and short-term dynamics of investment and operation by sufficiently fine discretizations of time and uncertainty. As a result, modeling is generally driven by the trade-off between computational tractability and the quality of expansion plans. With the increasing deployment of renewable energy (RE) sources in many power systems, the modeling of short-term operational issues becomes more and more important. RE production often varies significantly (and stochastically) from one hour to another and must be accompanied by flexible generation such as conventional gas-fired units to ensure security of supply. In this context, the present paper addresses a very timely and relevant research question.
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