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A Multi-agent Model for Cross-border Trading in the Continuous Intraday Electricity Market
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-4854-976x
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0001-6000-9363
2023 (English)In: Energy Reports, E-ISSN 2352-4847, Vol. 9, p. 6227-6240Article in journal (Refereed) Published
Abstract [en]

The increasing importance of cross-border trade has brought the topic of allocating cross-border transmission capacity under the limelight. In this paper, we focus on two different transmission capacity calculation methods, namely, Available Transfer Capacity and Flow-based Capacity allocation, in the continuous intraday electricity market. The effect of these two methods is studied on the continuous intraday electricity market through an agent-based model comprising various types of trading agents. It also models market operator agent and transmission system operator agent inspired by the Single Intraday Coupling project in Europe. The price-volume decisions for the orders posted by the market participants are determined by two different strategies where one of them adapts to changing market conditions and new information while the other is naive. The model accounts for ramping constraints which enables the analysis of the trading behavior and interaction of agents across multiple delivery products simultaneously. A switch parameter is availed in the trading timeline for the thermal and storage agents to change from a less conservative approach of ignoring the ramping and charging/discharging rate constraints respectively to considering them. An interplay between different switch parameters and cross-border transmission capacity calculation methods is studied.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 9, p. 6227-6240
Keywords [en]
Continuous intraday electricity market, Cross-border intraday trading, Flow-based market coupling, Agent-based model
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-331186DOI: 10.1016/j.egyr.2023.05.070ISI: 001013791000001Scopus ID: 2-s2.0-85161019287OAI: oai:DiVA.org:kth-331186DiVA, id: diva2:1780719
Note

Not duplicate with DiVA 1690946

QC 20230706

Available from: 2023-07-06 Created: 2023-07-06 Last updated: 2023-07-06Bibliographically approved

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Shinde, PriyankaGamberi, GiuliaAmelin, Mikael

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