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FLOW-BASED MARKET COUPLING (4) answer(s).
 
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ID:   177332


Do minimum trading capacities for the cross-zonal exchange of electricity lead to welfare losses? / Schönheit, David   Journal Article
Schönheit, David Journal Article
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Summary/Abstract Within flow-based market coupling, the EU's preferred method for calculating cross-border trading capacities, recent regulatory changes stipulate minimum trading capacities, so-called minRAMs which have to be provided to electricity markets. Effectively, high predicted flows on considered electricity grid elements have to be reduced to reserve a minimum of the elements' capacities for cross-zonal trading. This analysis investigates if the adjustments made to meet this criterion, in the form of augmented trading domains, lead to higher amounts of curative congestion management. To quantify the effect of increasing minRAMs on overall welfare, the markets and grids of Central Western Europe are analyzed during two representative weeks of 2016. The results show the increasing market coupling welfare is more than offset by rising congestion management costs, leading to net welfare losses. In the best case, the generation plus congestion management costs within Central Western Europe rise by 7.25% when increasing the minRAMs from the current 20%–45% and a minRAM of 70% is 6.28% more expensive compared to a minRAM of 20%. The analysis derives policy recommendations for implementing the minRAM stipulation, with a particular focus on a cost-minimizing selection of generation shift keys, in general as well as situation-dependent terms.
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2
ID:   194618


Improving flow-based market coupling by integrating redispatch potential-Evidence from a large-scale model / Bucksteeg, Michael   Journal Article
Bucksteeg, Michael Journal Article
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Summary/Abstract In European power markets, recent regulatory changes impose minimum trading capacities to increase cross-border trade. However, the sweeping definition of minimum margins neglects underlying physical grid constraints, resulting in higher redispatch volumes and costs. This raises questions about the efficiency and welfare effects of minimum trading capacities and whether alternative approaches exist for increasing cross-border trade. Against this background, this contribution studies the impact of integrating redispatch potential into flow-based market coupling (FBMC). Accordingly, cross-zonal capacity is not raised to a regulatory-specified minimum level but is increased whenever it is efficient, i.e., the net welfare effect is positive. To this end, a multi-stage model covering capacity calculation, market coupling, and redispatch stages is developed, and a large-scale numerical analysis of Central Europe is performed. The results confirm that minimum margins increase cross-border trade by roughly 20 TWh. However, this comes at a high cost due to additional redispatch needs, which reduce overall welfare by more than 100 M€ annually. Integrating redispatch potentials in the market-clearing stage leads to a more efficient increase in cross-border capacities and elevates welfare by up to 215 M€ per year. Finally, the analysis derives policy recommendations for introducing the redispatch potential approach.
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3
ID:   166943


Integration in the European electricity market: a machine learning-based convergence analysis for the Central Western Europe region / Saez, Yago   Journal Article
Saez, Yago Journal Article
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Summary/Abstract The European electricity market is immersed in an integration process that requires a fundamental transformation. In this process, Flow-Based Market Coupling, which was employed for the first time in the Central Western Europe electricity market in 2015 as a means to manage cross-border capacity allocation, is a crucial cornerstone. The novelty of this paper lies in the analysis of the price convergence or congestion across the Central Western Europe region since the Flow-Based Market Coupling was implemented. We propose using random forests to build learning models that are trained and tested with features from connected markets of this region during 2016 and 2017. These machine learning models are used for mining knowledge about our target variable, price equalization. To search for robust predictive patterns that decision-makers can use to understand congestion situations, we have tested different combinations of learning schemes, several estimators and different model parameters. The results of all implemented models are robust and reveal that promoting renewable energy can contradict the integration of the electricity market if the grid network and, in particular, the transmission lines are not adapted to the new paradigm.
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4
ID:   169843


Meaning of flow-based market coupling on redispatch measures in Austria / Lang, Lukas Maximilian   Journal Article
Lang, Lukas Maximilian Journal Article
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Summary/Abstract Energy market modelling lacks an approach that tackles the implications of flow-based market coupling on congestion management in European electricity markets. Especially in the context of high shares of renewable energy, the topic of network congestion is becoming even more important. Usually, redispatch measures as a main part of congestion management are calculated on the basis of a simple load flow model incorporating net transfer capacities on the day-ahead market. In this paper, we suggest a modelling approach that incorporates the attributes of flow-based market coupling in the calculation of congestion management. An advanced load flow model is therefore already used to reflect the allocation process on the spot market. Retaining this result, necessary congestion management can be calculated on the basis of a more detailed network model representing the control areas’ exact transmission lines. Also, we conduct a comparison between the net transfer capacity- and the flow-based market coupling approach representing different levels of grid-granularities to show the importance of the grid model used for allocation on the European market for electricity. The results suggest, that necessary congestion management in the system is heavily dependent on the grid granularity, both in the sign and magnitude.
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