Abstract
Scheduling energy and reserve in power systems with a large number of intermittent units is a challenging problem. Traditionally, the reserve requirements are assigned after clearing the day-ahead energy market using ad hoc rules or solving computationally intense mathematical programming problems to co-optimize energy and reserve. While the former approach often leads to costly oversized reserve provisions, the computational time required by the latter makes it generally incompatible with the daily power system operational practices. This paper proposes an alternative deterministic formulation for computing the energy and reserve scheduling, considering the uncertainty of the demand and the intermittent power production in such a way that the resulting problem requires a lower number of constraints and variables than stochastic programming-based formulations. The performance of the proposed formulation has been compared with respect to two standard stochastic programming formulations in a small-size power system. Finally, a realistic case study based on the Iberian Peninsula power system has been solved and discussed.
Highlights
The ongoing concern about climate change, the government support, and the reduction of their investment costs, among others, have promoted a remarkable growth in the installed renewable capacity worldwide
We observe that the solution obtained by the Stochastic unit commitment (SUC) formulation outperforms that obtained by Decoupled unit commitment (DUC) in all solved instances
It is worth noting that this expected cost reduction grows as the installed wind power capacity increases, from 0.01%
Summary
The ongoing concern about climate change, the government support, and the reduction of their investment costs, among others, have promoted a remarkable growth in the installed renewable capacity worldwide. As a consequence of this, renewable energies are becoming the most important energy sources in many power systems around the world. This fact is observed, for instance, in the power systems of Ireland, Denmark or Spain, in which wind power is one of the most installed power generation technologies [1]. The major weakness of renewable power plants is that, most of them, are highly dependent on the availability of the natural source used for the electricity generation. The management of renewable-dominated power systems is a challenging task for power system operators
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