Neue Veröffentli­chung "Improved selection of critical network elements for flow-based market coupling based on congestion patterns"

Together with Kenneth Bruninx and Michael Kenis from the KU Leuven, David Schönheit and Dominik Möst analyse whether insights on hypothetically re-configured market zones can help to improve the selection of critical network elements in flow-based market coupling and lead to cost reductions without effectively changing the market zone setting.

The article can be downloaded for free until 9th December 21 (50 days): https://authors.elsevier.com/c/1dxi715eif0fuA

Highlights
- Congestion patterns help select critical grid elements in flow-based market coupling.
- A nodal price-based market zone re-configuration identifies congestion signals.
- Insights from re-configured zones help to improve the selection of critical elements.
- This leads to cost reductions, even in the original market zone configuration.

Summary
European electricity markets are zonal markets, a set-up that naturally entails an imperfect representation of intra-zonal congestion patterns that may limit cross-border trade. The method of flow-based market coupling aims to reflect limitations to cross-border trade by incorporating intra- and interzonal grid elements within the setting of zonal pricing through monitoring the flows on these critical network elements caused by inter-zonal trade. A major challenge for grid operators is the selection of critical network elements, essentially deciding which grid elements send congestion signals and trade limitations to the markets. Our main research question is: Can insights on hypothetically re-configured market zones help to improve the selection of critical network elements and lead to cost reductions without effectively changing the market zone setting? Using a flow-based market coupling optimization model based on a 3-zone test network, we propose a hypothetical nodal price-based market zone re-configuration to identify congestion signals and derive an improved set of critical network elements. We find that around 90% of the cost reductions from this market zone re-configuration can be maintained when the critical network elements, obtained from the re-configured market zones, are used in the original 3-zone setting. This is a strong indication that, both in reality as well as model-based research of flow-based market coupling, the selection of critical network elements should be based on expected congestion patterns. The proposed approach can constitute a helpful addition to static and assumption-based selection criteria for critical network elements that are currently used by European grid operators.