Doktorarbeit / Dissertation, 2017
163 Seiten, Note: A
This thesis delves into the coupling of day-ahead and intra-day electricity markets in Europe. The primary objective is to investigate the impact of market coupling on the integration of regional electricity markets, particularly in the context of congestion management and price formation. The study focuses on identifying opportunities and challenges presented by market coupling for both day-ahead and intra-day markets. It seeks to enhance our understanding of market dynamics and to contribute to the ongoing efforts to improve market design and efficiency in the European electricity sector.
The key focus areas of this research include: electricity market coupling, congestion management, day-ahead market, intra-day market, price formation, market integration, European Union, target model, ATC model, flow-based model, Price Coupling of Regions Project, Cross-Border Intra-Day Market Project, hybrid intra-day market mechanism, and optimization problem.
The research focuses on the integration of the European Day-Ahead and Intra-Day markets, investigating the impact of market coupling on congestion management and price formation.
EUPHEMIA is a hybrid algorithm developed by European Power Exchanges to couple different market rules and optimize the Day-Ahead Market (DAM) across regions.
The main challenge is integrating two different systems: Continuous Trading mechanisms used by some exchanges and Discrete Auctions used by others.
These are two different methods for capacity allocation and congestion management. The thesis analyzes how these models affect the efficiency of cross-border trade.
Market coupling aims to maximize Social Welfare (SW), increase liquidity, and provide a better environment for Renewable Energy Sources (RES) to develop.
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