Flow-based nodal cost allocation in a heterogeneous highly renewable European electricity network

被引:15
|
作者
Tranberg, Bo [1 ,2 ]
Schwenk-Nebbe, Leon J. [3 ,5 ]
Schafer, Mirko [1 ]
Hoersch, Jonas [4 ]
Greiner, Martin [1 ]
机构
[1] Aarhus Univ, Dept Engn, Inge Lehmanns Gade 10, DK-8000 Aarhus C, Denmark
[2] Danske Commod AS, Vaerkmestergade 3, DK-8000 Aarhus C, Denmark
[3] Aarhus Univ, Dept Phys & Astron, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
[4] Goethe Univ Frankfurt, FIAS, Ruth Moufang Str 1, D-60438 Frankfurt, Germany
[5] Orsted, Teknikerbyen 25, DK-2830 Virum, Denmark
关键词
Large-scale integration of renewables; System design; Renewable energy networks; Wind power generation; Solar power generation; Levelized system cost of electricity; Europe; SYSTEM;
D O I
10.1016/j.energy.2018.02.129
中图分类号
O414.1 [热力学];
学科分类号
摘要
For a cost efficient design of a future renewable European electricity system, the placement of renewable generation capacity will seek to exploit locations with good resource quality, that is for instance onshore wind in countries bordering the North Sea and solar PV in South European countries. Regions with less favorable renewable generation conditions benefit from this remote capacity by importing the respective electricity as power flows through the transmission grid. The resulting intricate pattern of imports and exports represents a challenge for the analysis of system costs on the level of individual countries. Using a tracing technique, we introduce flow-based nodal levelized costs of electricity (LCOE) which allow to incorporate capital and operational costs associated with the usage of generation capacity located outside the respective country under consideration. This concept and a complementary allocation of transmission infrastructure costs is applied to a simplified model of an interconnected highly renewable European electricity system. We observe that cooperation between the European countries in a heterogeneous system layout does not only reduce the system-wide LCOE, but also the flow-based nodal LCOE5 for every country individually. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:122 / 133
页数:12
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