Journal article
Multi-timescale data-driven method identifying flexibility requirements for scenarios with high penetration of renewables
Department of Electrical Engineering, Technical University of Denmark1
Energy Systems Analysis, Sustainability, Department of Technology, Management and Economics, Technical University of Denmark2
Energy System Management, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Center for Electric Power and Energy, Centers, Technical University of Denmark4
Distributed Energy Resources, Center for Electric Power and Energy, Centers, Technical University of Denmark5
GRID Integration and Energy Systems, Wind Energy Systems Division, Department of Wind Energy, Technical University of Denmark6
Department of Wind Energy, Technical University of Denmark7
Department of Technology, Management and Economics, Technical University of Denmark8
Sustainability, Department of Technology, Management and Economics, Technical University of Denmark9
Energy Economics and Regulation, Sustainability, Department of Technology, Management and Economics, Technical University of Denmark10
...and 0 moreThe 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 Fourier analysis to disentangle the energy storage and power flexibility requirements on different frequencies and is validated via application 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.
We find that energy storage requirements will increase significantly towards 2030 but less so towards 2050 for Denmark as a whole.
| Language: | English |
|---|---|
| Year: | 2020 |
| Pages: | 114702 |
| ISSN: | 18729118 and 03062619 |
| Types: | Journal article |
| DOI: | 10.1016/j.apenergy.2020.114702 |
| ORCIDs: | Olsen, Karen Pardos , Zong, Yi , You, Shi , Bindner, Henrik W. , Koivisto, Matti Juhani and Gea-Bermudez, Juan |
