A Modified Version of the IEEE 39-bus Test System for the Day-Ahead Market

Conference Paper (2023)
Author(s)

Gioacchino Tricarico (Politecnico di Bari)

Raju Wagle (The Arctic University of Norway)

Maria Dicorato (Politecnico di Bari)

Giuseppe Forte (Politecnico di Bari)

Francisco M. González-Longatt (University of South-Eastern Norway)

José L. Rueda (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2023 Gioacchino Tricarico, Raju Wagle, Maria Dicorato, Giuseppe Forte, Francisco Gonzalez-Longatt, José L. Rueda
DOI related publication
https://doi.org/10.1109/ISGTMiddleEast56437.2023.10078548
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Gioacchino Tricarico, Raju Wagle, Maria Dicorato, Giuseppe Forte, Francisco Gonzalez-Longatt, José L. Rueda
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
1-5
ISBN (print)
978-1-6654-6544-1
ISBN (electronic)
978-1-6654-6543-4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Reaching net-zero emissions within the proposed time requires an enormous effort from the energy sector, and it is even more challenging for the electricity infrastructure. This article offers a modified version of the IEEE 39-bus system specifically created to allow zonal day-ahead market (ZDAM) simulations. The system representation is based on the original version of the IEEE 39-bus system but considers the integration of renewable energy resources (RES) in the generation mix: solar and wind. Hourly time series are used to define load profiles and wind and solar power generation. The zonal dayahead energy market information has been created by solving the optimisation problem. Numerical results of the proposed power test system are provided for the yearly ZDAM and steady-state performance, in N and N-l conditions, respectively, through Pyomo and DIgSILENT PowerFactory features.

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