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2757. Cross-sectoral coordination in highly interconnected multi-operator energy systems: A distributed framework with autonomous agents
Invited abstract in session MD-9: Uncertainties in the Energy Transition, stream Energy Markets.
Monday, 14:30-16:00Room: 10 (building: 116)
Authors (first author is the speaker)
1. | Aiko Schinke-Nendza
|
Chair for Energy Economics, House of Energy Markets and Finance, University of Duisburg-Essen | |
2. | Christoph Weber
|
University Duisburg-Essen |
Abstract
In response to Europe's climate objectives, this study investigates a novel distributed coordination framework for cross-sectoral integration in multi-operator energy systems, critical for achieving sustainability. Incorporating digitalization and decentralized resources, our method overcomes the challenge of efficiently coordinating highly interconnected systems while preserving data confidentiality and promoting renewable integration. We address nodal pricing efficiencies through a unique distributed algorithm that is based on autonomous agents—corresponding to market participants and network operators. This innovation ensures flexibility and efficiency, adhering to strict European regulations. Our approach not only handles the complexity of multi-energy carriers and the intricacies of highly interconnected power systems but also enables scalable, privacy-aware coordination avoiding major drawbacks of existing market designs. Based on a careful evaluation of decomposition techniques, we derive a distributed framework using the alternating direction method of multipliers (ADMM). Demonstrating the advances of this distributed algorithm, our research contributes to operational efficiency in multi-energy systems, enabling an enhanced integration of decentralized resources in a cross-sectoral energy system to meet Europe's ambitious climate targets.
Keywords
- OR in Energy
- Electricity Markets
- Agent Systems
Status: accepted
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