Volume 4: Innovative Solutions for Energy Transitions: Part III

Data‐Driven Flexibility Requirements for Current and Future Scenarios With High Penetration of Renewables Karen Pardos Olsen, Yi Zong, Shi You1, Henrik Bindner, Matti Koivisto, Juan Gea‐Bermúdez



The way towards a more sustainable future, involves increasing amounts of variable renewable energy (VRE), yet the inherent variability in VRE generation poses challenges on power system management. In this paper, a method is presented to quickly assess the fluctuating discrepancies between VRE production (wind and solar) and electricity consumption for system planning purposes. The method utilizes a discrete Fourier transform (DFT) analysis to disentangle the energy storage and power flexibility requirements on different frequencies and is applied here to different geographical areas and to current and future scenarios in both real and simulated hourly data. Novelties include a subdivision of the residual load in more temporal scales than usually adopted, a pie chart visualization to compare the strength of different oscillations and a ready‐to‐use Python module.

Keywords Energy storage, Flexibility, flexible load, power system planning, renewable power, timeseries analysis

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