Evaluation of advanced reserve sizing methods based on RE variability and uncertainty

Abstract

The large-scale integration of variable renewable energy (RE) into the electricity mix imposes to deal with the uncertainty and variability associated with such generation. As a result, the power system reserve management, which aims to ensure real-time balancing between production and load, has to evolve in order to guarantee the reliable operation of the electrical grid. This paper focuses on the evaluation of advanced reserve sizing methods identified in the literature, based on real operation data, from RE plants under operation. More precisely, the paper details a field-data oriented analysis, where fine time-resolution (few minutes time step) data is analyzed (1) to characterize RE variability and uncertainty, and (2) to evaluate the benefits from taking into account such variability and uncertainty for advanced reserve sizing.