Power flow tracing in a simplified highly renewable European electricity network

Abstract

The increasing transmission capacity needs in a future energy system raise the question how associated costs should be allocated to the users of a strengthened power grid. In contrast to straightforward oversimplified methods, a flow tracing based approach provides a fair and consistent nodal usage and thus cost assignment of transmission investments. This technique follows the power flow through the network and assigns the link capacity usage to the respective sources or sinks using a diffusion-like process, thus taking into account the underlying network structure and injection pattern. As a showcase, we apply power flow tracing to a simplified model of the European electricity grid with a high share of renewable wind and solar power generation, based on long-term weather and load data with an hourly temporal resolution.

submitted to New Journal of Physics

References in corpus (2)

• Analysis of a power grid using the Kuramoto-like model
• Comparative analysis of existing models for power-grid synchronization

Cited by in corpus (12)

• Real-Time Carbon Accounting Method for the European Electricity Markets
• Cost-optimal design of a simplified highly renewable Chinese electricity network
• Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling
• A Dual Method for Computing Power Transfer Distribution Factors
• Optimal heterogeneity in a simplified highly renewable European electricity system
• Flow tracing as a tool set for the analysis of networked large-scale renewable electricity systems
• A graphical approach to carbon-efficient spot market scheduling for Power-to-X applications
• Flow-based nodal cost allocation in a heterogeneous highly renewable European electricity network
• Flow-based analysis of storage usage in a low-carbon European electricity scenario
• The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy
• Tracing carbon dioxide emissions in the European electricity markets
• Optimal Scheduling of Flexible Power-to-X Technologies in the Day-ahead Electricity Market