原文信息：
Toward a fundamental understanding of flow-based market coupling for cross-border electricity trading
原文链接：
https://www.sciencedirect.com/science/article/pii/S2666792421000202
01
Highlights
Provision of a guide to the main steps and parameters of flow-based market coupling.
Learning goals to help readers understand actions by transmission system operators.
Provision of an open-access model (code and data) based on free-to-use software.
Case studies and sensitivity analyses based on a modified 118-bus IEEE network.
Quantifying effects of generation shift keys, critical lines and security margins.
02摘要
03
Abstract
Trading electricity across market zones furthers competitive power prices, security of supply and the integration of renewable energy. In the European Union, flow-based market coupling is the target model to compute correct trading capacities between markets, while approximating physical grid constraints. The methodology relies on predictive, carefully designed parameters to maximize trading opportunities, while keeping congestion management at acceptable levels. This paper explains the fundamentals of flow-based market coupling. It provides an open-access model based on a test network and its data. By providing a guide to the theory and conducting several case studies, the functioning and effects of the most influential parameters are demonstrated. Innovative aspects of this paper are its illustrative nature and its answer to the following research questions: (1) What is the effect of (a) generation shift keys and (b) threshold choice on the selection of critical network elements? (2) What is the effect of (a) generation shift keys, (b) selected critical network elements and (c) security margins on market coupling and congestion management results? It also addresses the effect of higher shares of renewable energy and minimum trading capacities on flow-based market coupling. This analysis shows that (1) the effects of flow reliability margins and selected critical network elements dominate the effect of generation shift keys on flow-based market coupling domains, (2) power systems with an increasing share of renewable energy may necessitate re-adjusted parameters and (3) minimum trading capacities can be guaranteed by redispatch or altering the base case.
Keywords：
Congestion management
Electricity trading capacities
Flow-based market coupling
Open-access model
Optimization model
Fig. 1. Zonal price formation without and with trade, given different trading capacities.
Fig. 3. Overview of the flow-based market coupling process and the explained aspects: The market coupling process (blue), the discretionary parameters (white) and the sections in the paper discussing these elements (black).
Fig. 5. Merit order-based assumption that 𝐺𝑆𝐾1,𝐴 = 1 and 𝐺𝑆𝐾2,𝐴 = 0 in zone A.
Fig. 6. Test network (Appendix A) with selection of critical network elements based on the flat GSK strategy with different thresholds (𝛼).
Fig. 9. Trading domain (green area) for timestamp 417 (18.01. at 9:00) for the four
tested GSK strategies.
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