The impact of different strategies for generation shift keys (GSKs) on the flow-based market coupling domain: A model-based analysis of Central Western Europe

Schönheit, David; Weinhold, Richard; Dierstein, Constantin

doi:10.1016/j.apenergy.2019.114067

Cited by 32 publications

(16 citation statements)

References 9 publications

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“…The article highlights the importance to integrate FBMC in market and grid analyses instead of NTC market coupling to have a more adequate representation of physical constraints Poplavskaya et al (2020) Propose the integration of nodal information for some generators in the spot market to relieve critical branches. The approach is evaluated on a two zone, 6 node system Schönheit et al (2020) Present an open-access model including a test network for experiments with the FB methodology Felten et al (2021) Compare FBMC to a nodal market clearing in a stylized single hour, 4-node system. Conclude that the closer the approximation of the base case is, the lower the welfare losses by FBMC are, compared to nodal pricing Henneaux et al (2021) Present a FBMC framework for a 3 area, 96-bus system.…”

Section: Methodsmentioning

confidence: 99%

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Impact of Flow Based Market Coupling on the European Electricity Markets

Finck

2021

NachhaltigkeitsManagementForum

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Flow Based Market Coupling is the target model for determining exchange capacities in the internal European Electricity Market. It has been in operation in Central Western Europe since 2015 and is scheduled to be extended to the wider Core region in the near future. Exchange capacities have a significant impact on market prices, exchanges and the energy mix, thus also determining the CO$${}_{2}$$ 2 footprint of electricity generation in the system. Stakeholders therefore need to develop an understanding for the impact of Flow Based Market Coupling and the parameter choice, like the minimum exchange capacities introduced in 2020, on the market outcome. This article presents a framework to model Flow Based Market Coupling and analyse the impact of different levels of regulatory induced minimum trading capacities as well as the effect of the extension towards the Core region. Electricity prices, exchange positions and the number and nature of binding constraints in the market results under different market coupling scenarios are investigated. The results show that increased level of minimum trading capacities in CWE market coupling decrease the German net export position by up to 7 TW h or 23%, while French exports increase by up to 10 TW h or 9%. The different transfer capacity in the scenarios induce a price difference of up to 13%. Increased exchange capacities allow for more base load generation with the corresponding effects for the CO$${}_{2}$$ 2 emissions of the system. The nature of coupling constraints is highly dynamic and dependent on the system state, which makes the suitability of static NTC values in energy system scenarios questionable.

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Section: Methodsmentioning

confidence: 99%

“…Marien et al (2013). For GSK strategy "pro rate" seems to be a common understanding for good fit (Felten et al (2021), Schönheit et al (2020)). This follows the same idea of a close match of GSK and base case with realisation, hence GSKs based on the specific base case seem reasonable.…”

Section: State Of Researchmentioning

confidence: 99%

Impact of Flow Based Market Coupling on the European Electricity Markets

Finck

2021

NachhaltigkeitsManagementForum

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“…All papers provide valuable contributions to the field in illustrating the impact of parametrization, but focus on the formal composition of the parameters and do not attribute the dimension of the parametrization that allows to decide on the effect of the parametrization, namely the trade-off between capacity allocation and congestion management. A notable exception is Schönheit et al (2020) that not only provides transparency by an open modelling approach but explicitly provides insight in the effect of a policy decision influencing an otherwise formal method. The authors also point out differences in how minRAMs can be included in the modelling process.…”

Section: D-1: Market Couplingmentioning

confidence: 99%

Evaluating Policy Implications on the Restrictiveness of Flow-based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe

Weinhold¹

2021

Preprint

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The current stage in the evolution of the European internal energy market for electricity is defined by the transformation towards a renewable energy system. The Clean Energy Package aims to ensure that methods for capacity allocation and congestion management, that are at the center of the European internal market for electricity, align with this transformation.Flow-based market coupling, the preferred method for capacity allocation, is first and foremost a formal process to allocate exchange capacities to the markets. However, the process also allows for many considerations of the involved parties that impact the resulting capacities. As part of the Clear Energy Package, the regulatory body enacted their ambition to increase exchange capacities by enforcing transmission system operators to allocate a minimum margin of physical line capacity with the goal of providing a higher level of competition and better integration of renewable energy sources. This study investigates this and other policy relevant consideration of flow-based market coupling.The model results quantify the trade-off between permissive capacity allocation and increased congestion management. For high shares of intermittent renewable generation, less constrained exchange capacities are favorable, however also highlight the importance of the markets ability to integrate high shares of intermittent generation.

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“…As shown in (2), the Γ A is a function of Π because the * ⟶ is constant in value. This is a known shortcoming of FBMC [6] [7]. Generally, there could exist an infinite number of possible Π (by changing the ) which yield an infinite set of Γ A .…”

Section: IImentioning

confidence: 99%

Inverse modeling of zonal transmission network

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2020

Preprint

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Presently, many ideas have been proposed for constructing zonal models of the European transmission network. Most of them are based on transmission network reduction and bus clustering, which requires the ex-ante knowledge on the details (impedance, interconnections, etc.) of the network’s elements. Generally, the information is not publicly disclosed. This paper describes a method for serving the purpose, which only requires the ex-post (i.e., published) inter-zonal power flow data as input. It performs inverse modeling on the ex-post data to reveal the virtual reactance of the interconnectors in the zonal model. The reactance values are then used for computing the zonal Power Transfer Distribution Factors (PTDFs) of the model, which is the best representation of the loop flows. A large number of such zonal PTDFs could exist in one zonal model because of its dependency on the Generation Shift Keys (GSKs). Theoretically, the GSKs could exist as an infinite set of unique combinations but only a finite number of them applied in real system operations. As a solution, the authors propose a heuristic approach for grouping the ex-post power flow cases into clusters, and find the zonal PTDF for each of them; in order to effectively reduce the domain of the zonal PTDFs and enhance the tractability of the solution. The identified zonal PTDFs meaningfully represent the zonal model. Additionally, they can also be used for studying the best and worst case scenarios of cross-border security-constrained economic dispatch.

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The impact of different strategies for generation shift keys (GSKs) on the flow-based market coupling domain: A model-based analysis of Central Western Europe

Cited by 32 publications

References 9 publications

Impact of Flow Based Market Coupling on the European Electricity Markets

Impact of Flow Based Market Coupling on the European Electricity Markets

Evaluating Policy Implications on the Restrictiveness of Flow-based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe

Inverse modeling of zonal transmission network

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