Raunbak, M.; Zeyer, T.; Zhu, K.; Greiner, M. Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network. Energies2017, 10, 1934.
Raunbak, M.; Zeyer, T.; Zhu, K.; Greiner, M. Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network. Energies 2017, 10, 1934.
Raunbak, M.; Zeyer, T.; Zhu, K.; Greiner, M. Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network. Energies2017, 10, 1934.
Raunbak, M.; Zeyer, T.; Zhu, K.; Greiner, M. Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network. Energies 2017, 10, 1934.
Abstract
Due to its spatio-temporal variability, the mismatch between the weather and demand patterns challenges the design of highly renewable energy systems. A principal component analysis is applied to a simplified networked European electricity system with a high share of wind and solar power generation. It reveals a small number of important mismatch patterns, which explain most of the system's required backup and transmission infrastructure. Whereas the first principal component is already able to reproduce most of the temporal mismatch variability for a solar dominated system, a few more principal components are needed for a wind dominated system. Due to its monopole structure the first principal component causes most of the system's backup infrastructure. The next few principal components have a dipole structure and dominate the transmission infrastructure of the renewable electricity network.
Keywords
renewable energy networks; principal component analysis; large-scale integration of renewables; wind power; solar power; super grid; energy system design
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
