Reduction of the Market Splitting Occurrences: A Dynamic Line Rating Approach for the 2030 Iberian Day-ahead Market Scenarios

Algarvio, Hugo; Couto, António; Estanqueiro, Ana; Carvalho, Rui; Santos, Gabriel; Faia, Ricardo; Faria, Pedro; Vale, Zita

http://hdl.handle.net/10400.9/4349

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
Reduction_of_the_Market_Splitting_Occurrences_A_Dynamic_Line_Rating_Approach_for_the_2030_Iberian_Day-ahead_Market_Scenarios.pdf		298.54 KB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

ABSTRACT: Typically, Transmission System Operators apply power flow models with Seasonal Line Rating prescriptions to compute the ampacity of power lines, in a process that enables to obtain the cross-border capacity for trading between different countries or market zones. These seasonal-dependent models rely on fixed conservative meteorological conditions throughout the year, underestimating the real-time transmission capacity of overhead lines. This can contribute to market splitting occurrences, i.e., a situation where the cleared power flow between different market zones of the coupled market is superior to the cross-border capacity, separating markets, which brings economic losses to market participants. Dynamic Line Rating analysis allows computing the overhead lines’ capacity considering the weather conditions that influence the power line's thermal dynamics. This work presents a study that applies the CIGRÉ 601 model in cross-border power lines between Portugal and Spain to quantify the reduction in market splitting occurrences in the day-ahead Iberian market considering based on the installed capacities from the 2030 national energy and climate plans. Comparing with the seasonal approach, dynamic line rating enabled to reduce the number of market splitting occurrences from 1512 to 514, reducing the electricity costs by more than 1% and the price difference from 19 to 12 €/MWh.

Keywords

Computational modeling Electricity Dynamic models Europe

URI

http://hdl.handle.net/10400.9/4349

Citation

Algarvio, H., Couto, A., Estanqueiro, A., Carvalho, R., Santos, G., Faia, R., Faria, P. & Vale, Z. (2024) Reduction of the Market Splitting Occurrences: A Dynamic Line Rating Approach for the 2030 Iberian Day-ahead Market Scenarios. In: 20th International Conference on the European Energy Market (EEM), Istanbul, Turkiye, 10-12 June, 2024. https://doi.org/10.1109/EEM60825.2024.10608899